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ΒΙΟΓΡΑΦΙΚΟ ΢ΗΜΔΙΧΜΑ
Γξ. Ησάλλε Μαξηλάθε
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
1
1. ΑΣΟΜΙΚΑ ΢ΣΟΙΥΔΙΑ
Ολνκαηεπώλπκν:
Όλνκα παηξόο:
Όλνκα κεηξόο:
Ηκεξνκελία γελλήζεσο:
Tόπνο γελλήζεσο:
Τπεθνόηεηα:
Οηθνγελεηαθή θαηάζηαζε:
Δπάγγεικα :
Γηεύζπλζε εξγαζίαο:
Tειέθσλν:
Hιεθηξ. Σαρπδξ. :
Website:
Ησάλλεο Μαξηλάθεο
΢ηαύξνο
΢νθία
25-02-1976
Υαληά
Διιεληθή
Άγακνο
Δπίθνπξνο Καζεγεηήο, Γξ. Μεραληθόο Παξαγσγήο
θαη Γηνίθεζεο
Μέινο ηνπ Σερληθνύ Δπηκειεηεξίνπ Διιάδαο από
21/02/2006
΢ρνιή Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο
Δξγαζηήξην ΢ρεδηαζκνύ θαη Αλάπηπμεο ΢πζηεκάησλ
Τπνζηήξημεο Απνθάζεσλ
Πνιπηερλείν Κξήηεο, 73100 Υαληά
28210-37288
[email protected]
http://users.isc.tuc.gr/~imarinakis/
2. ΔΚΠΑΙΓΔΤ΢Η
1ε Ννεκβξίνπ 2005: Αλαγόξεπζε από ην Σκήκα Μεραληθώλ Παξαγσγήο θαη
Γηνίθεζεο ζηελ 10ε/1-11-2005 Γεληθή ΢πλέιεπζε κε Δηδηθή ΢ύλζεζε ζε
Γηδάθηνξα Μεραληθό ηνπ Πνιπηερλείνπ Κξήηεο ζηνλ ηνκέα ηεο Δπηρεηξεζηαθήο
Έξεπλαο. Γηδαθηνξηθή Γηαηξηβή: Vehicle Routing in Distribution Problems
(Γξνκνιόγεζε Ορεκάησλ ζε Πξνβιήκαηα Γηαλνκήο Πξντόλησλ).
΢επηέκβξηνο 2001 έσο Οθηώβξηνο 2005: Τπνςήθηνο Γηδάθηνξαο (Ph.D.) ζηελ
Δπηρεηξεζηαθή Έξεπλα ζην ηκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο ηνπ
Πνιπηερλείνπ Κξήηεο.
΢επηέκβξηνο 2001: Αλαθήξπμε ζε θάηνρν Μεηαπηπρηαθνύ Γηπιώκαηνο Δηδίθεπζεο
ζηνλ ηνκέα Δπηρεηξεζηαθήο Έξεπλαο ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη
Γηνίθεζεο ηνπ Πνιπηερλείνπ Κξήηεο. Μεηαπηπρηαθή Δξγαζία: Αλάπηπμε θαη
Δθαξκνγή Αιγνξίζκνπ γηα Δπίιπζε ηνπ Πξνβιήκαηνο Γξνκνιόγεζεο
Ορεκάησλ.
1999 - 2001: Μεηαπηπρηαθέο ζπνπδέο ζην Πνιπηερλείν Κξήηεο γηα ηελ απόθηεζε ηνπ
Μεηαπηπρηαθνύ Γηπιώκαηνο Δηδίθεπζεο ηνπ Μεραληθνύ Παξαγσγήο θαη
Γηνίθεζεο (Δηδίθεπζε ζηελ Δπηρεηξεζηαθή Έξεπλα).
΢επηέκβξηνο 1999: Γηπισκαηηθή Δξγαζία: Γηεξεύλεζε Ηδηνηήησλ Αιγνξίζκσλ Με
Γξακκηθήο Βειηηζηνπνίεζεο.
1994 - 1999: ΢πνπδέο ζην Πνιπηερλείν Κξήηεο γηα ηελ απόθηεζε ηνπ δηπιώκαηνο
ηνπ Μεραληθνύ Παξαγσγήο θαη Γηνίθεζεο.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
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3. ΔΠΑΓΓΔΛΜΑΣΙΚΗ ΔΜΠΔΙΡΙΑ
3.1 Γηδαθηηθή Δκπεηξία
1. 22/07/2013 έσο ζήκεξα: Δπίθνπξνο Καζεγεηήο ζηε ΢ρνιή Μεραληθώλ
Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο. Αληηθείκελν: ΢ηνραζηηθή
Βειηηζηνπνίεζε θαη Δθαξκνγέο. ΦΔΚ Γηνξηζκνύ Σεύρνο Γ‘
734/15.07.2013. Γηδαζθαιία ησλ πξνπηπρηαθώλ καζεκάησλ ΢πλδπαζηηθή
Βειηηζηνπνίεζε, Θεσξία Παηγλίσλ, ΢ρεδηαζκόο θαη Βειηηζηνπνίεζε ζηε
Γηαρείξηζε ηεο Δθνδηαζηηθήο Αιπζίδαο θαη ηνπ κεηαπηπρηαθνύ καζήκαηνο
Δμειηθηηθνί αιγόξηζκνη θαη Βειηηζηνπνίεζε ΢πζηεκάησλ Μεγάιεο
Κιίκαθαο.
2. 26/3/2013 – 21/7/2013: Δπίθνπξνο Καζεγεηήο ππό δηνξηζκό ζην Σκήκα
Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο. Αληηθείκελν:
΢ηνραζηηθή Βειηηζηνπνίεζε θαη Δθαξκνγέο.
3. 02/01/2009 - 25/3/2013: Λέθηνξαο ζην Σκήκα Μεραληθώλ Παξαγσγήο θαη
Γηνίθεζεο, Πνιπηερλείν Κξήηεο. Αληηθείκελν: ΢ηνραζηηθή Βειηηζηνπνίεζε
θαη Δθαξκνγέο. ΦΔΚ Γηνξηζκνύ Σεύρνο Γ‘ 1159/29.12.2008. Γηδαζθαιία
ησλ πξνπηπρηαθώλ καζεκάησλ ΢πλδπαζηηθή Βειηηζηνπνίεζε, Θεσξία
Παηγλίσλ, ΢ρεδηαζκόο θαη Βειηηζηνπνίεζε ζηελ Γηαρείξηζε ηεο
Δθνδηαζηηθήο
Αιπζίδαο
θαη
ησλ
κεηαπηπρηαθώλ
καζεκάησλ
Βειηηζηνπνίεζε ΢πζηεκάησλ Μεγάιεο Κιίκαθαο (Αθαδεκατθό έηνο 20082009), Δμειηθηηθνί θαη Μεζεπξεηηθνί αιγόξηζκνη (Αθαδεκατθό έηνο 20092010) θαη Δμειηθηηθνί αιγόξηζκνη θαη Βειηηζηνπνίεζε ΢πζηεκάησλ
Μεγάιεο Κιίκαθαο (από Αθαδεκατθό έηνο 2010-2011).
4. 29/01/2008 - 02/01/2009: Λέθηνξαο ππό δηνξηζκό ζην Σκήκα Μεραληθώλ
Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο. Αληηθείκελν: ΢ηνραζηηθή
Βειηηζηνπνίεζε θαη Δθαξκνγέο.
5. 01/09/2008 - 02/01/2009: Γηδάζθσλ κε βάζε ην Π.Γ. 407 ζην Σκήκα
Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο. Γηδαζθαιία
ησλ πξνπηπρηαθώλ καζεκάησλ ΢πλδπαζηηθή Βειηηζηνπνίεζε θαη
΢ρεδηαζκόο θαη Βειηηζηνπνίεζε ηεο Δθνδηαζηηθήο Αιπζίδαο.
6. 29/01/2008: Δθινγή ζε ζέζε Λέθηνξα ζην Πνιπηερλείν Κξήηεο ζην Σκήκα
Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο κε αληηθείκελν:
΢ηνραζηηθή
Βειηηζηνπνίεζε θαη Δθαξκνγέο.
7. Μάξηηνο 2006 - Ινύληνο 2008: Σκήκα Μεραληθώλ Οηθνλνκίαο θαη
Γηνίθεζεο. Παλεπηζηήκην Αηγαίνπ. Γηδαζθαιία ζην Πξόγξακκα
Μεηαπηπρηαθώλ ΢πνπδώλ ―Οηθνλνκηθή θαη Γηνίθεζε γηα Μεραληθνύο‖ ησλ
κεηαπηπρηαθώλ καζεκάησλ Γηνίθεζε Δθνδηαζηηθήο Αιπζίδαο, Γηνίθεζε
Λεηηνπξγηώλ θαη Παξαγσγήο θαη Πξνγξακκαηηζκόο Η/Τ ζε Πεξηβάιινλ
MATLAB (VERSION 7). Πην αλαιπηηθά:
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε




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Δαξηλό Δμάκελν ηνπ Αθαδεκατθνύ Έηνπο 2007 -- 2008: Σκήκα
Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο, Παλεπηζηήκην Αηγαίνπ.
Γηδαζθαιία ζην Πξόγξακκα Μεηαπηπρηαθώλ ΢πνπδώλ ―Οηθνλνκηθή
θαη Γηνίθεζε γηα Μεραληθνύο‖ ηνπ καζήκαηνο Πξνγξακκαηηζκόο
Η/Τ ζε Πεξηβάιινλ MATLAB (VERSION 7).
Δαξηλό Δμάκελν ηνπ Αθαδεκατθνύ Έηνπο 2006 -- 2007: Σκήκα
Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο, Παλεπηζηήκην Αηγαίνπ.
Γηδαζθαιία ζην Πξόγξακκα Μεηαπηπρηαθώλ ΢πνπδώλ ―Οηθνλνκηθή
θαη Γηνίθεζε γηα Μεραληθνύο‖
ησλ καζεκάησλ Γηνίθεζε
Δθνδηαζηηθήο Αιπζίδαο θαη Γηνίθεζε Λεηηνπξγηώλ θαη
Παξαγσγήο.
01/11/06 -- 05/03/07: Σκήκα Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο,
Παλεπηζηήκην Αηγαίνπ. Γηδαζθαιία ζην Πξόγξακκα Μεηαπηπρηαθώλ
΢πνπδώλ ―Οηθνλνκηθή θαη Γηνίθεζε γηα Μεραληθνύο‖ ηνπ καζήκαηνο
Πξνγξακκαηηζκόο Η/Τ ζε Πεξηβάιινλ MATLAB (VERSION 7).
Δαξηλό Δμάκελν ηνπ Αθαδεκατθνύ Έηνπο 2005 -- 2006:
Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο, Παλεπηζηήκην Αηγαίνπ.
Γηδαζθαιία ζην Πξόγξακκα Μεηαπηπρηαθώλ ΢πνπδώλ ―Οηθνλνκηθή
θαη Γηνίθεζε γηα Μεραληθνύο‖ ηνπ καζήκαηνο Πξνγξακκαηηζκόο
Η/Τ ζε Πεξηβάιινλ MATLAB (VERSION 7).
8. ΢επηέκβξηνο 2004 - Φεβξνπάξηνο 2005: Σκήκα Ηιεθηξνληθήο,
Σερλνινγηθό Δθπαηδεπηηθό Ίδξπκα Ηξαθιείνπ, Παξάξηεκα Υαλίσλ.
Γηδαζθαιία ζην εξγαζηήξην ηνπ καζήκαηνο Πιεξνθνξηθή ΙΙ.
9. ΢επηέκβξηνο 2002 - Φεβξνπάξηνο 2005: Σκήκα Φπζηθώλ Πόξσλ θαη
Πεξηβάιινληνο, Σερλνινγηθό Δθπαηδεπηηθό Ίδξπκα Ηξαθιείνπ,
Παξάξηεκα Υαλίσλ. Γηδαζθαιία ζηα εξγαζηήξηα ησλ καζεκάησλ
Πεξηβαιινληηθή ΢ηαηηζηηθή, Πιεξνθνξηθή Ι θαη Πιεξνθνξηθή ΙΙ. Πην
αλαιπηηθά:



΢επηέκβξηνο 2004 -- Φεβξνπάξηνο 2005: Γηδάζθσλ ζην εξγαζηήξην
ηνπ καζήκαηνο Πεξηβαιινληηθή ΢ηαηηζηηθή ζην Σκήκα Φπζηθώλ
Πόξσλ θαη Πεξηβάιινληνο ηνπ Σερλνινγηθνύ Δθπαηδεπηηθνύ
Ηδξύκαηνο Ζξαθιείνπ, Παξάξηεκα Υαλίσλ.
΢επηέκβξηνο 2003 -- Ινύληνο 2004: Γηδάζθσλ ζην εξγαζηήξην ηνπ
καζήκαηνο
Πιεξνθνξηθή ΙΙ θαζώο θαη ζην εξγαζηήξην ηνπ
καζήκαηνο Πεξηβαιινληηθή ΢ηαηηζηηθή ζην Σκήκα Φπζηθώλ Πόξσλ
θαη Πεξηβάιινληνο ηνπ Σερλνινγηθνύ Δθπαηδεπηηθνύ Ηδξύκαηνο
Ζξαθιείνπ, Παξάξηεκα Υαλίσλ.
΢επηέκβξηνο 2002 -- Ινύληνο 2003: Γηδάζθσλ ζηα εξγαζηήξηα ησλ
καζεκάησλ Πιεξνθνξηθή Ι θαη Πιεξνθνξηθή ΙΙ ζην Σκήκα
Φπζηθώλ Πόξσλ θαη
Πεξηβάιινληνο ηνπ Σερλνινγηθνύ
Δθπαηδεπηηθνύ Ηδξύκαηνο Ζξαθιείνπ, Παξάξηεκα Υαλίσλ.
10. ΢επηέκβξηνο 2000 - Αύγνπζηνο 2005: Δξγαζηεξηαθόο Βνεζόο κε βάζε ην
Π.Γ. 407/80 ζην Σκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο ηνπ
Πνιπηερλείνπ Κξήηεο ζηα πξνπηπρηαθά καζήκαηα ΢πλδπαζηηθή
Βειηηζηνπνίεζε, Θεσξία Παηγλίσλ, ΢ρεδηαζκόο θαη Βειηηζηνπνίεζε ηεο
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
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Δθνδηαζηηθήο Αιπζίδαο θαη Μεζνδνινγία Τπνινγηζηώλ θαη ζηα
κεηαπηπρηαθά καζήκαηα Δπξεηηθνί θαη Μεζεπξεηηθνί αιγόξηζκνη θαη
Βειηηζηνπνίεζε ΢πζηεκάησλ Μεγάιεο Κιίκαθαο. Πην αλαιπηηθά:










01/09/2000 - 28/02/2001: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο
Θεσξία Παηγλίσλ, 7ν εμάκελν
ηνπ ηκήκαηνο Μεραληθώλ
Παξαγσγήο θαη Γηνίθεζεο.
01/03/2001 - 31/08/2001: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο
΢πλδπαζηηθή Βειηηζηνπνίεζε,
8ν εμάκελν ηνπ ηκήκαηνο
Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο.
01/11/2001 - 28/02/2002: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο
Μεζνδνινγία Τπνινγηζηώλ, 1ν εμάκελν ηνπ ηκήκαηνο Μεραληθώλ
Παξαγσγήο θαη Γηνίθεζεο.
01/03/2002 - 31/08/2002: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο
΢πλδπαζηηθή Βειηηζηνπνίεζε, 8ν εμάκελν ηνπ ηκήκαηνο
Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο.
01/09/2002 - 28/02/2003: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο
Θεσξία Παηγλίσλ, 7ν εμάκελν ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο
θαη Γηνίθεζεο.
01/03/2003 - 31/08/2003: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο
΢πλδπαζηηθή Βειηηζηνπνίεζε, 8ν εμάκελν ηνπ ηκήκαηνο
Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο.
01/09/2003 - 29/02/2004: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο
΢πλδπαζηηθή Βειηηζηνπνίεζε, 7ν εμάκελν ηνπ ηκήκαηνο
Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο.
01/03/2004 - 31/08/2004: Δξγαζηεξηαθέο αζθήζεηο ησλ καζεκάησλ
Θεσξία Παηγλίσλ, 4ν εμάκελν θαζώο θαη ηνπ κεηαπηπρηαθνύ
καζήκαηνο Δπξεηηθνί θαη Μεζεπξεηηθνί αιγόξηζκνη ηνπ ηκήκαηνο
Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο.
01/12/2004 - 31/12/2004: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο
΢ρεδηαζκόο θαη Βειηηζηνπνίεζε ηεο Δθνδηαζηηθήο Αιπζίδαο, 9ν
εμάκελν ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο.
01/04/2005 - 30/4/2005, 01/06/2005 - 30/06/2005 θαη 01/08/2005 31/08/2005: Δξγαζηεξηαθή ππνζηήξημε ηνπ
κεηαπηπρηαθνύ
καζήκαηνο Βειηηζηνπνίεζε ΢πζηεκάησλ Μεγάιεο Κιίκαθαο ηνπ
ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο.
3.2 ΢πκκεηνρή ζε Δξεπλεηηθά Πξνγξάκκαηα
1. 15/12/2011 - 31/12/2013: Μέινο ηεο εξεπλεηηθήο νκάδαο γηα ην εξεπλεηηθό
πξόγξακκα ―Energy Aware Enterprise Systems for Low-carbon
Intelligent Operations – ARTISAN‖. Υξεκαηνδόηεζε από ηελ Δπξσπατθή
Έλσζε (FP7-ICT systems for Energy Efficiency). ΢πλεηζθνξά ζην έξγν: ε
Βειηηζηνπνίεζε θαζώο θαη ν ΢ρεδηαζκόο Αιγνξίζκσλ.
2. 01/01/2012 - 31/12/2013: Μέινο ηεο εξεπλεηηθήο νκάδαο γηα ην εξεπλεηηθό
πξόγξακκα ―Βειηίσζε ηεο παξαθνινύζεζεο δνκηθήο αθεξαηόηεηαο
παζζάισλ κε ηε ρξήζε ππνινγηζηηθήο δπλακηθήο θαη νιηθήο
βειηηζηνπνίεζεο‖. Πξόγξακκα πξνώζεζεο ησλ αληαιιαγώλ θαη ηεο
επηζηεκνληθήο ζπλεξγαζίαο Διιάδαο – Γεξκαλίαο. Πξόγξακκα IKYDA 2012.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
5
3. 01/06/2012-31/07/2012: Μέινο ηεο εξεπλεηηθήο νκάδαο γηα ην εξεπλεηηθό
πξόγξακκα ―Αμηνπνίεζε ηερλνινγηώλ αηρκήο ζηελ πιεξσκή ρξήζεο θαη
δηαρείξηζε δεκόζησλ ΠΑΡΚηλγθ (Η ΠΑΡΚ) - ΚΑΔ 80177‖. Πξόγξακκα
Γηαζπλνξηαθήο ΢πλεξγαζίαο Διιάδα – Κύπξνο 2007-2013.
4. Μάξηηνο 2010: Μέινο ηεο εξεπλεηηθήο νκάδαο γηα ην εξεπλεηηθό πξόγξακκα
―Μειέηε ηνπ θιάδνπ ησλ Super Markets θαη πνιπθαηαζηεκάησλ ζην
Ννκό Υαλίσλ – Παξνρή ππεξεζηώλ εθνδηαζηηθήο αιπζίδαο logistics –
Γεκηνπξγία ηππνπνηεηηθήο κνλάδαο γηα ειαηόιαδν-ρπκνύο‖.
5. 01/01/07 - 31/12/07: Μέινο ηεο εξεπλεηηθήο νκάδαο γηα ην εξεπλεηηθό
πξόγξακκα ―΢ρεδηαζκόο θαη Τινπνίεζε Πξνβιεκάησλ Μηθηνύ Αθεξαίνπ
Πξνγξακκαηηζκνύ‖. Υξεκαηνδόηεζε από ην Έξγν Ππζαγόξαο ΗΗ.
΢πλεηζθνξά ζην έξγν: ε πινπνίεζε ησλ αιγνξίζκσλ Branch and Bound.
6. ΢επηέκβξηνο 2001: Δξεπλεηηθό Πξόγξακκα INTAS 97-31854/Network for
Developing Theory, Methods and Applications of Nonsmooth Analysis and
Optimization.
7. Ιαλνπάξηνο 2000 - Μάξηηνο 2000: Δπηζηεκνληθόο ζπλεξγάηεο ζην Ηλζηηηνύην
Ζιεθηξνληθήο Γνκήο θαη Λέηδεξ ηνπ Ηλζηηηνύηνπ Σερλνινγίαο θαη Έξεπλαο
ζην Ζξάθιεην Κξήηεο.
3.3 Γηνηθεηηθή Δκπεηξία
1. ΢έπηεκβξηνο 2010 έσο ζήκεξα: ΢ύκβνπινο ΢πνπδώλ ζην Σκήκα Μεραληθώλ
Παξαγσγήο θαη Γηνίθεζεο ηνπ Πνιπηερλείνπ Κξήηεο.
2. ΢επηέκβξηνο 2010 έσο ζήκεξα: Μέινο ηεο Δπηηξνπήο Πξνπηπρηαθώλ
΢πνπδώλ ηνπ Σκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο ηνπ
Πνιπηερλείνπ Κξήηεο.
3. ΢επηέκβξηνο 2010 έσο ζήκεξα: Μέινο ηεο Δπηηξνπήο Φνηηεηνινγίνπ ηνπ
Σκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο ηνπ Πνιπηερλείνπ Κξήηεο.
4. Ιαλνπάξηνο 2009 έσο ζήκεξα: Μέινο ηεο Γεληθήο ΢πλέιεπζεο θαη ηεο
Γεληθήο ΢πλέιεπζεο Δηδηθήο ΢ύλζεζεο ηνπ Σκήκαηνο Μεραληθώλ Παξαγσγήο
θαη Γηνίθεζεο ηνπ Πνιπηερλείνπ Κξήηεο.
3.4 Άιιεο Πιεξνθνξίεο
1. Ιαλνπάξηνο 2006 - Ινύληνο 2008: Δξεπλεηηθή ΢πλεξγαζία κε ην Δξγαζηήξην
Γηνίθεζεο Δπηρεηξήζεσλ θαη Λήςεο Απνθάζεσλ (Γ.Δ.Λ.Α.Π.) ηνπ Σκήκαηνο
Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο, Παλεπηζηήκην Αηγαίνπ.
2. Μάξηηνο 2000 έσο ζήκεξα: Μέινο ηνπ Δξγαζηεξίνπ ΢πζηεκάησλ
Τπνζηήξημεο Απνθάζεσλ (ΔΡΓΑ.΢.Τ.Α.), ηνπ Σκήκαηνο Μεραληθώλ
Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο.
4. ΞΔΝΔ΢ ΓΛΧ΢΢Δ΢
Αγγιηθά
5. ΓΗΜΟ΢ΙΔΤ΢ΔΙ΢
1. ΢ύλνιν Βηβιίσλ : 3
2. ΢ύλνιν Άξζξσλ ζε Γηεζλή Δπηζηεκνληθά Πεξηνδηθά κεηά από Κξίζε: 44
 Άζξνηζκα Impact Factor άξζξσλ ρξνληά δεκνζίεπζεο: 43.329
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε





6
Μέζν Impact Factor άξζξσλ: 1.083
Άζξνηζκα Impact Factor άξζξσλ 2012: 45.909
Μέζν Impact Factor άξζξσλ 2012: 1.147
Άζξνηζκα Impact Factor πεληαεηίαο: 52.002
Μέζν Impact Factor πεληαεηίαο: 1.3
3. ΢ύλνιν Άξζξσλ ζε Δπηζηεκνληθά Βηβιία Γηεζλώλ Δθδνηηθώλ Οίθσλ κεηά
από Κξίζε: 29
4. ΢ύλνιν Άξζξσλ ζε Πξαθηηθά Γηεζλώλ ΢πλεδξίσλ Μεηά από Κξίζε: 20
5. ΢ύλνιν Πεξηιήςεσλ Άξζξσλ ζε Πξαθηηθά Γηεζλώλ ΢πλεδξίσλ Μεηά από
Κξίζε: 21
6. ΢ύλνιν Άξζξσλ ζε Πξαθηηθά Διιεληθώλ ΢πλεδξίσλ Μεηά από Κξίζε: 3
7. ΢ύλνιν Πεξηιήςεσλ Άξζξσλ ζε Πξαθηηθά Διιεληθώλ ΢πλεδξίσλ Μεηά από
Κξίζε: 6
8. ΢ύλνιν εηεξναλαθνξώλ: 905
5.1 Βηβιία
1.
2.
3.
Ησάλλεο Μαξηλάθεο, Μαγδαιελή Μαξηλάθε, Νηθόιανο Φ. Μαηζαηζίλεο θαη
Κσλζηαληίλνο Ενπνπλίδεο, (2011), Μεθεςπεηικοί και Δξελικηικοί
Αλγόπιθμοι ζε Πποβλήμαηα Γιοικηηικήρ Δπιζηήμηρ¸ Κιεηδάξηζκνο, ζει.
527, Αζήλα, ISBN 978-960-461-422-6.
Ησάλλεο Μαξηλάθεο θαη Αζαλάζηνο Μπγδαιάο, (2008), Σσεδιαζμόρ και
Βεληιζηοποίηζη ηηρ Δθοδιαζηικήρ Αλςζίδαρ, Δθδόζεηο ΢νθία,
Θεζζαινλίθε, ζει. 533, ISBN: 978-960-6706-17-2.
Γ. Μαξηλάθεο θαη Μ. Μαξηλάθε, (2005), Μαθημαηική Θεωπία
Βεληιζηοποίηζηρ, Δθδόζεηο Νέσλ Σερλνινγηώλ, Αζήλα, ζει. 348,
(Μεηάθξαζε - Δπηκέιεηα Διιεληθήο Έθδνζεο ηνπ βηβιίνπ: D.Z. Du, P.M.
Pardalos and W. Wu, Mathematical Theory of Optimization, Kluwer
Academic Publishers, 2001), ISBN: 960-8105-79-X.
5.2 Άξζξα ζε Γηεζλή Δπηζηεκνληθά Πεξηνδηθά κεηά από Κξίζε
4.
5.
6.
7.
M. Marinaki and Y. Marinakis (2015) ―A Hybridization of Clonal Selection
Algorithm with Iterated Local Search and Variable Neighborhood Search for
the Feature Selection Problem‖, Memetic Computing, (accepted)
Y. Marinakis and M. Marinaki, (2015) ―Combinatorial Neighborhood
Topology Bumble Bees Mating Optimization for the Vehicle Routing Problem
with Stochastic Demands‖, Soft Computing, 19(2), 353-373 (Impact Factor
2013: 1.304 – Five Year Impact Factor: 1.464).
M. Marinaki, Y. Marinakis and G.E. Stavroulakis (2015) ―Fuzzy control
optimized by a multi-objective differential evolution algorithm for vibration
suppression of smart structures‖, Computers and Structures, 147, 126-137.
(Impact Factor 2013: 2.178 – Five Year Impact Factor: 2.676)
Y. Marinakis, M. Marinaki and A. Migdalas (2014) ―A Hybrid Clonal
Selection Algorithm for the Location Routing Problem with Stochastic
Demands‖, Annals of Mathematics and Artificial Intelligence, DOI
10.1007/s10472-014-9441-7, (Impact Factor 2013: 0.488)
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
7
M. Marinaki and Y. Marinakis (2014) ―A Bumble Bees Mating Optimization
Algorithm for the Feature Selection Problem‖. International Journal of
Machine Learning and Cybernetics, DOI 10.1007/s13042-014-0276-7
Y. Marinakis and M. Marinaki, (2014) ―A Bumble Bees Mating Optimization
algorithm for the Open Vehicle
Routing Problem‖, Swarm and
Evolutionary Computation, 15, 80-94.
Y. Marinakis and M. Marinaki, (2013) ―Particle Swarm Optimization with
Expanding Neighborhood Topology for the Permutation Flowshop Scheduling
Problem‖, Soft Computing, 17(7), 1159-1173, DOI: 10.1007/s00500-0130992-z (Impact Factor 2013: 1.304 – Five Year Impact Factor: 1.464).
Y. Marinakis, G.R. Iordanidou and M. Marinaki, (2013) ―Particle Swarm
Optimization for the Vehicle Routing Problem with Stochastic Demands‖,
Applied Soft Computing, 13, 1693-1704 (Impact Factor 2013: 2.679 – Five
Year Impact Factor: 2.97).
Y. Marinakis, (2012), ―Multiple Phase Neighborhood Search GRASP for the
Capacitated Vehicle Routing Problem‖, Expert Systems with Applications,
39, 6807-6815. (Impact Factor 2012: 1.854 – Impact Factor 2013: 1.965 –
Five Year Impact Factor: 2.254).
M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2011) ―Vibration Control
of Beams with Piezoelectric Sensors and Actuators using Particle Swarm
Optimization‖, Expert Systems with Applications, 38, 6872-6883. (Impact
Factor 2011: 2.203 – Impact Factor 2013: 1.965 – Five Year Impact Factor:
2.254).
M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2011), ―Fuzzy Control
Optimized by a Multi-Objective Particle Swarm Optimization Algorithm for
Vibration Suppression of Smart Structures‖, Structural and
Multidisciplinary Optimization, 43, 29-42. (Impact Factor 2011: 1.488 –
Impact Factor 2013: 1.696 – Five Year Impact Factor: 1.599).
Y. Marinakis, M. Marinaki and G. Dounias, (2011) ―Honey Bees Mating
Optimization Algorithm for the Euclidean Traveling Salesman Problem‖,
Information Sciences, 181, 4684 – 4698 (Impact Factor 2011: 2.833 – Impact
Factor 2013: 3.893 – Five Year Impact Factor: 3.969).
Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis,
(2011), ―A Hybrid ACO-GRASP Algorithm for Clustering Analysis‖, Annals
of Operations Research, 188, 343-358. (Impact Factor 2011: 0.840 – Impact
Factor 2013: 1.103 – Five Year Impact Factor: 1.101).
Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2011),
―Discrete Artificial Bee Colony Optimization Algorithm for Financial
Classification Problems‖, International Journal of Applied Metaheuristic
Computing, 2, 1, 1-17.
S. Tsafarakis, Y. Marinakis and N. Matsatsinis, (2011), ―Particle Swarm
Optimization for Optimal Product Line Design‖, International Journal of
Research in Marketing, 28, 13-22. (Impact Factor 2011: 1.662 – Impact
Factor 2012: 1.71 – Five Year Impact Factor: 2.555).
M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2010), ―Fuzzy Control
optimized by PSO for vibration suppression of beams‖, Control Engineering
and Practice, 18, 618-629. (Impact Factor 2010: 1.406 – Impact Factor 2013:
1.912 – Five Year Impact Factor: 2.347).
Y. Marinakis, M. Marinaki and G. Dounias, (2010), ―A Hybrid Particle
Swarm Optimization Algorithm for the Vehicle Routing Problem‖,
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
21.
22.
23.
24.
25.
26.
27.
28.
29.
30.
31.
8
Engineering Applications of Artificial Intelligence, 23, 463-472. (Impact
Factor 2010: 1.344 – Impact Factor 2013: 1.962 – Five Year Impact Factor:
2.176).
A. Kornelakis and Y. Marinakis (2010). ―Contribution for optimal sizing of
grid-connected PV-systems using PSO‖, Renewable Energy, 35, 1333-1341.
(Impact Factor 2010: 2.554 – Impact Factor 2013: 3.361 – Five Year Impact
Factor: 3.842).
M. Marinaki, Y. Marinakis and C. Zopounidis, (2010), ―Honey Bees Mating
Optimization Algorithm for Financial Classification Problems‖, Applied Soft
Computing, 10, 806-812. (Impact Factor 2010: 2.084 – Impact Factor 2013:
2.679 – Five Year Impact Factor: 2.97).
Y. Marinakis and M. Marinaki, (2010), ―A Hybrid Genetic - Particle Swarm
Optimization Algorithm for the Vehicle Routing Problem‖, Expert Systems
with Applications, 37, 1446-1455. (Impact Factor 2010: 1.924 – Impact
Factor 2013: 1.965 – Five Year Impact Factor: 2.254).
Y. Marinakis, M. Marinaki and G. Dounias (2010), ―Honey Bees Mating
Optimization Algorithm for Large Scale Vehicle Routing Problems‖
Natural Computing, 9, 5-27. (Impact Factor 2012: 0.683 - Impact Factor
2013: 0.539)
Y. Marinakis and M. Marinaki (2010), ―A Hybrid Multi-Swarm Particle
Swarm Optimization Algorithm for the Probabilistic Traveling Salesman
Problem‖, Computers and Operations Research, 37, 432-442. (Impact
Factor 2010: 1.769 – Impact Factor 2013: 1.718 – Five Year Impact Factor:
2.335).
Y. Marinakis, M. Marinaki, M. Doumpos and C. Zopounidis, (2009), ―Ant
Colony and Particle Swarm Optimization for Financial Classification
Problems‖, Expert Systems with Applications, 36, 7, 10604-10611. (Impact
Factor 2009: 2.908 – Impact Factor 2013: 1.965 – Five Year Impact Factor:
2.254).
Y. Marinakis, G. Dounias and J. Jantzen (2009), ―Pap Smear Diagnosis Using
a Hybrid Intelligent Scheme Focusing on Genetic Algorithm Based Feature
Selection and Nearest Neighbor Classification‖, Computers in Biology and
Medicine, 39, 1, 69-78. (Impact Factor 2009: 1.269 – Impact Factor 2013:
1.475 – Five Year Impact Factor: 1.547).
M. Doumpos, Y. Marinakis, M. Marinaki and C. Zopounidis, (2009). ―An
Evolutionary Approach to Construction of Outranking Models for
Multicriteria Classification: The Case of the ELECTRE TRI Method‖,
European Journal of Operational Research, 199, 496-505. (Impact Factor
2009: 2.093 – Impact Factor 2013: 1.843 – Five Year Impact Factor: 2.625).
Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2009).
―Evolution of the Population of a Genetic Algorithm using Particle Swarm
Optimization: Application to Clustering Analysis‖, Operational Research,
An International Journal, 9, 105-120.
Y. Marinakis, M. Marinaki, G. Dounias, J. Jantzen and B. Bjerregaard, (2009),
―Intelligent and Nature Inspired Optimization Methods in Medicine: The PapSmear Cell Classification Problem‖, Expert Systems. The Journal of
Knowledge Engineering, 26, 5, 433-457. (Impact Factor 2009: 1.231 –
Impact Factor 2013: 0.75 – Five Year Impact Factor: 0.774).
Y. Marinakis, A. Migdalas and P.M. Pardalos, (2009), ―Multiple Phase
Neighborhood Search GRASP based on Lagrangean Relaxation, Random
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
32.
33.
34.
35.
36.
37.
38.
39.
40.
41.
42.
43.
9
Backtracking Lin-Kernighan and Path Relinking for the Traveling Salesman
Problem‖, Journal of Combinatorial Optimization, 17, 134-156. (Impact
Factor 2009: 0.867 – Impact Factor 2013: 1.043 – Five Year Impact Factor:
0.71).
M. Marinaki, Y. Marinakis and C. Zopounidis (2008) ―A Memetic Algorithm
for the Identification of Firms Receiving Qualified Audit Reports‖, Journal of
Computational Optimization in Economics and Finance, Vol. 1, No. 1, 5971.
Y. Marinakis, M. Marinaki and N. Matsatsinis, (2008), ―A Stochastic Nature
Inspired Metaheuristic for Clustering Analysis‖, International Journal of
Business Intelligence and Data Mining, 3, 1, 30-44.
Y. Marinakis and M. Marinaki, (2008), ―A Particle Swarm Optimization
Algorithm with Path Relinking for the Location Routing Problem‖, Journal of
Mathematical Modelling and Algorithms, 7, 1, 59-78.
Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis,
(2008), ―A Hybrid Stochastic Genetic-GRASP Algorithm for Clustering
Analysis‖, Operational Research, An International Journal, 8, 1, 33-46.
Y. Marinakis, M. Marinaki and G. Dounias, (2008), ―Particle Swarm
Optimization for Pap-Smear Diagnosis‖, Expert Systems with Applications,
35, 1645-1656. (Impact Factor 2008: 2.596 – Impact Factor 2013: 1.965 –
Five Year Impact Factor: 2.254)
Y. Marinakis, A. Migdalas and P.M. Pardalos, (2008), ―Expanding
Neighborhood Search - GRASP for the Probabilistic Traveling Salesman
Problem‖, Optimization Letters, 2, 3, 351-361. (Impact Factor 2008: 0.528 –
Impact Factor 2013: 0.99 – Five Year Impact Factor: 0.908).
Y. Marinakis, M. Marinaki and C. Zopounidis, (2008), ―Application of Ant
Colony Optimization to Credit Risk Assessment‖, New Mathematics and
Natural Computation, 4, 1, 107-122.
M. Marinaki, Y. Marinakis, M. Doumpos, N. Matsatsinis and C. Zopounidis,
(2008), ―A Comparison of Several Nearest Neighbor Classifier Metrics Using
Tabu Search Algorithm for the Feature Selection Problem‖, Optimization
Letters, 2, 3, 299-308. (Impact Factor 2008: 0.528 – Impact Factor 2013: 0.99
– Five Year Impact Factor: 0.908)
Y. Marinakis and G. Dounias, (2008), ―Nature Inspired Intelligence in
Medicine: Ant Colony Optimization for Pap-Smear Diagnosis‖, International
Journal on Artificial Intelligence Tools (IJAIT), 17, 2, 279-301. (Impact
Factor 2008: 0.667 – Impact Factor 2012: 0.22 – Five Year Impact Factor:
0.402)
Y. Marinakis and M. Marinaki, (2008), ―A Bilevel Genetic Algorithm for a
Real Life Location Routing Problem‖, International Journal of Logistics:
Research and Applications, 11, 1, 49-65. (Impact Factor 2010: 0.558 –
Impact Factor 2013: 0.469)
Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis,
(2008), ―Optimization of Nearest Neighbor Classifiers via Metaheuristic
Algorithms for Credit Risk Assessment‖, Journal of Global Optimization,
42, 279-293. (Impact Factor 2008: 1.062 – Impact Factor 2013: 1.355 – Five
Year Impact Factor: 1.391)
M. Marinaki, Y. Marinakis and C. Zopounidis, (2007), ―Application of a
Genetic Algorithm for the Credit Risk Assessment Problem‖, Foundations of
Computing and Decisions Sciences, 32, 2, 139-152.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
10
44. Y. Marinakis and A. Migdalas, (2007), ―Annotated Bibliography in Vehicle
Routing‖, Operational Research an International Journal, 7, 1, 27-46.
45. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2007), ―A New Bilevel
Formulation for the Vehicle Routing Problem and a Solution Method Using a
Genetic Algorithm‖, Journal of Global Optimization, 38, 555-580. (Impact
Factor 2007: 0.813 – Impact Factor 2013: 1.355 – Five Year Impact Factor:
1.391)
46. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2005), ―A Hybrid Genetic GRASP Algorithm Using Lagrangean Relaxation for the Traveling Salesman
Problem‖, Journal of Combinatorial Optimization, 10, 311-326. (Impact
Factor 2005: 0.291 – Impact Factor 2013: 1.043 – Five Year Impact Factor:
0.71).
47. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2005), ―Expanding
Neighborhood GRASP for the Traveling Salesman Problem‖, Computational
Optimization and Applications, 32, 231-257. (Impact Factor 2005: 0.886 –
Impact Factor 2013: 0.977 – Five Year Impact Factor: 1.432)
5.3 Άξζξα ζε Δπηζηεκνληθά Βηβιία Γηεζλώλ Δθδνηηθώλ Οίθσλ κεηά από Κξίζε
48. Y. Marinakis, M. Politis, M. Marinaki and N. Matsatsinis (2015) ―A MemeticGRASP Algorithm for the Solution of the Orienteering Problem‖, MCO 2015,
Le Thi Hoai An, Pham Dinh Tao, Nguyen Ngoc Thanh (Eds.) (accepted)
(Modelling, Computation and Optimization in Information Systems and
Management Sciences, 11-13 May 2015, Metz, France)
49. I.D. Psychas, M. Marinaki and Y. Marinakis (2015) ―A Parallel Multi-Start
NSGA II Algorithm for Multiobjective Energy Reduction Vehicle Routing
Problem‖, EMO 2015, Part I, A. Gaspar-Cunha et al. (Eds.): LNCS 9018,
DOI: 10.1007/978-3-319-15934-8_23, pp. 336–350 (8th International
Conference on Evolutionary Multi-Criterion Optimization, 29 March – 1 April
2015, Guimaraes, Portugal)
50. Y. Marinakis, M. Marinaki and P. Spanou (2015) ―A Memetic Differential
Evolution Algorithm for the Vehicle Routing Problem with Stochastic
Demands‖, Adaptation and Hybridization in Computational Intelligence,
Adaptation, Learning, and Optimization 18, I. Fister and I. Fister Jr. (eds.),
DOI: 10.1007/978-3-319-14400-9_9, pp. 185-203.
51. Y. Marinakis and A. Migdalas (2014) ―A Particle Swarm Optimization
algorithm for the Multicast Routing Problem‖, Models, Algorithms and
Technologies for Networks Analysis, Springer Proceedings in
Mathematics & Statistics 104, M.V. Batsyn et al. (eds.),DOI 10.1007/978-3319-09758-9_7, pp. 69-91.
52. Y. Marinakis and A. Migdalas, (2014), ―Multiobjective Particle Swarm
Optimization for a Multicast Routing Problem‖, Examining Robustness and
Vulnerability of Network Systems, S. Butenko et al. (Eds) pp. 161 – 175.
(IOS Press) doi: 10.3233/978-1-61499-391-9-161 (NATO Advanced Research
Workshop, June 3-5, 2013, Kyiv, Ukraine).
53. Y. Marinakis and M. Marinaki, (2014) ―An Adaptive Bumble Bees Mating
Optimization Algorithm for the Hierarchical Permutation Flowshop
Scheduling Problem‖, ANTS 2014, LNCS 8667, M. Dorigo et al. (Eds.):pp.
282–283, 2014 (9th International Conference on Swarm Intelligence, 10-12
September 2014, Brussels, Belgium).
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
11
54. Y. Marinakis, M. Marinaki and A. Migdalas (2014) ―A Hybrid Clonal
Selection Algorithm for the Vehicle Routing Problem with Stochastic
Demands‖, Learning and Intelligent Optimization - LION 8, Lecture
Notes in Computer Science (LNCS 8426), P.M. Pardalos et al. (Eds.), pp
258-273, (16-21 February 2014, Gainesville, Florida-USA).
55. M. Marinaki and Y. Marinakis (2014) ―An Island Memetic Differential
Evolution Algorithm for the Feature Selection Problem‖, Nature Inspired
Cooperative Strategies for Optimization - NICSO 2013, Studies in
Computational Intelligence, Vol 512, G. Terrazas, F.E.B. Otero, A.D.
Masegosa (Eds.), Springer, 29-42 (2-4 September 2013, Canturburry, UK).
56. Y. Marinakis and M. Marinaki (2013) ―A Hybridized Particle Swarm
Optimization with Expanding Neighborhood Topology for the Feature
Selection Problem‖, M.J. Blesa et al. (Eds.): HM 2013, LNCS 7919, pp. 37–
51, ©Springer-Verlag Berlin Heidelberg 2013.
57. Y. Marinakis and M. Marinaki (2013) ―A Bilevel Particle Swarm
Optimization Algorithm for Supply Chain Management Problems‖, E.-G.
Talbi (Ed.): Metaheuristics for Bi-level Optimization, Studies in
Computational Intelligence (SCI) Vol. 482, pp. 69–93. DOI: 10.1007/978-3642-37838-6_3 ©Springer-Verlag Berlin Heidelberg 2013.
58. Y. Marinakis and M. Marinaki (2013) ―Combinatorial Neighborhood
Topology Particle Swarm Optimization Algorithm for the Vehicle Routing
Problem‖, M. Middendorf and C. Blum (Eds.): EvoCOP 2013, LNCS 7832,
pp. 133–144, (2013 EvoStar, The 13th European Conference on Evolutionary
Computation in Combinatorial Optimization, 3-5 April 2013 Vienna, Austria).
59. Y. Marinakis and M. Marinaki, (2013), ―A Hybrid Particle Swarm
Optimization Algorithm for the Permutation Flowshop Scheduling Problem‖,
Optimization Theory, Decision Making, and Operational Research
Applications, A. Migdalas et al. (Editors), Springer Proceedings in
Mathematics & Statistics 31, DOI 10.1007/978-1-4614-5134-1_6, © Springer
Science+Business Media New York 2013, 91-101.
60. Y. Marinakis and M. Marinaki, (2012), ―A Hybrid Particle Swarm
Optimization Algorithm for the Open Vehicle Routing Problem‖, ANTS 2012
Lecture Notes in Computer Science (LNCS) 7461, M. Dorigo et al.
(Editors) Springer-Verlag Berlin Heidelberg, 180-187 (8th International
Conference on Swarm Intelligence, 12-14 September 2012, Brussels,
Belgium).
61. Y. Marinakis and M. Marinaki, (2011), ―De.Lo.S.: A Decision Support
System for Solving Supply Chain Management Problems‖, Proceedings of
the 3rd International Conference on Applied Operational Research –
ICAOR, Lecture Notes in Management Science, 3, Gunalay Y. and
Kadipasaoglu S. (Eds)., 351-363, ISSN 2008-0050. (23-27 August 2011,
Istanbul, Turkey).
62. Y. Marinakis and M. Marinaki, (2011), ―Bumble Bees Mating Optimization
Algorithm for the Vehicle Routing Problem‖, Handbook of Swarm
Intelligence – Concepts, Principles and Applications, Bijaya Ketan
Panigrahi, Yuhui Shi and Meng-Hiot Lim (Eds.), Series on Adaptation,
Learning, and Optimization 8, Springer – Verlang, Berlin, 347-369.
63. Y. Marinakis and M. Marinaki (2010) ―Nature Inspired and Classic
Metaheuristic Algorithms for Global Unconstrained Optimization Problems. A
comparative analysis‖, Computational Optimization: New Research
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
64.
65.
66.
67.
68.
69.
70.
71.
72.
73.
12
Developments, Richard F. Linton and Thomas B. Carroll Jr. (Eds.), 243-263,
Nova Science Publishers.
Y. Marinakis, M. Marinaki and N. Matsatsinis (2010) ―A Bumble bees mating
optimization algorithm for global unconstrained optimization problems‖,
Nature Inspired Cooperative Strategies for Optimization - NICSO 2010,
Studies in Computational Intelligence, 284, J.R. Gonzalez et al. (Eds.),
Springer-Verlag Berlin, 305-318 (12-14 May 2010, Granada, Spain).
G.E. Stavroulakis, N. Kaminakis, Y. Marinakis, M. Marinaki (2009),
―Nonconvex, multiobjective problems in topology optimization of
mechanisms‖, Global Optimization, Theory, Models and Applications I,
Lecture Notes in Decision Sciences (LNDS) 12, C. Ma, L. Yu, D. Zhang and
Z. Zhou (Eds.), Global-Link Publishers, Tokyo, 8-14 (First World Congress
on Global Optimization in Engineering and Science WCGO2009, June 1-5
2009, Changsha and Zhangjiajie, China).
Y. Marinakis, M. Marinaki and N. Matsatsinis (2009), ―A Hybrid Bumble
Bees Mating Optimization – GRASP Algorithm for Clustering‖, HAIS 2009,
Lecture Notes in Artificial Intelligence (LNΑΙ) 5572, E. Corchado et al.
(Eds.), Springer Verlag Berlin Heidelberg, 549-556, (4th International
Conference of Hybrid Artificial Intelligence Systems, 10 – 12 June 2009,
Salamanca, Spain).
Y. Marinakis, (2009), ―Metaheuristic Algorithms for the Vehicle Routing
Problem‖, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0387-74759-0_366, 2055 – 2061, Springer.
Y. Marinakis, (2009), ―Heuristic and metaheuristic algorithms for the traveling
salesman problem‖, Encyclopedia of Optimization, 2nd Edition, DOI:
10.1007/978-0-387-74759-0_262, 1499 – 1506, Springer.
Y. Marinakis, (2009), ―Location Routing Problem‖, Encyclopedia of
Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_345, 1919 –
1925, Springer.
Y. Marinakis, M. Marinaki and N. Matsatsinis, (2008), ―A Hybrid Clustering
Algorithm based on Multi-Swarm Constriction PSO and GRASP‖, DaWaK
2008, Lecture Notes in Computer Science (LNCS) 5182, I.Y. Song, J. Eder,
and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 186-195 (10th
International Conference on Data Warehousing and Knowledge Discovery, 15 September 2008, Turin, Italy).
Y. Marinakis, M. Marinaki and N. Matsatsinis (2008) ―A Hybrid Clustering
Algorithm based on Honey Bees Mating Optimization and Greedy
Randomized Adaptive Search Procedure‖, Learning and Intelligent
Optimization - LION 2, Lecture Notes in Computer Science (LNCS) 5313,
V. Maniezzo, R. Battiti and J.P. Watson, Springer-Verlag Berlin Heidelberg,
138-152 (8-12 December 2007, Trento, Italy).
Y. Marinakis, M. Marinaki and G. Dounias, (2008) ―Honey Bees Mating
Optimization Algorithm for the Vehicle Routing Problem‖, Nature Inspired
Cooperative Strategies for Optimization - NICSO 2007, Studies in
Computational Intelligence, N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta
(Eds.), Springer-Verlag Berlin, Vol. 129, 139-148, (8-10 November 2007,
Acireale, Sicily, Italy).
Y. Marinakis, A. Migdalas and P.M. Pardalos, (2008) ―Cost allocation in
Combinatorial Optimization Games‖, Pareto Optimality, Game Theory and
Equilibria, A. Chinchuluun et al. (eds.), Springer, 217-247.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
13
74. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2007), ―A Hybrid Particle
Swarm Optimization Algorithm for Clustering Analysis‖, DaWaK 2007,
Lecture Notes in Computer Science (LNCS) 4654, I.Y. Song, J. Eder, and
T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 241-250, (9th
International Conference on Data Warehousing and Knowledge Discovery, 37 September 2007, Regensburg, Germany).
75. Y. Marinakis and A. Migdalas, (2002), ―Heuristic Solutions of Vehicle
Routing Problems in Supply Chain Management‖, Combinatorial and
Global Optimization, P.M. Pardalos et al. (eds.), Scientific World, 205-235.
5.4 Άξζξα ζε Πξαθηηθά Γηεζλώλ ΢πλεδξίσλ Μεηά από Κξίζε
76. Y. Marinakis, M. Marinaki and G.E. Stavroulakis (2013) Nature inspired
algorithms for the vibration control of beams with piezoelectric sensors and
actuators, in CSC2013 The Third International Conference on Soft
Computing Technology in Civil, Structural and Environmental
Engineering, Eds. Y. Tsompanakis, P. Ivanyi and B.H.V. Topping, Civil and
Structural Engineering Computational Methods, 129-156, Cagliari, Sardinia,
Italy 3-6 September 2013 (invited speaker).
77. Y. Marinakis and M. Marinaki, (2013) Combinatorial Expanding
Neighborhood Topology Particle Swarm Optimization for the Vehicle Routing
Problem with Stochastic Demands, GECCO: 2013, Genetic and
Evolutionary Computation Conference, 6-10 July 2013, Amsterdam, The
Netherlands, 49-56.
78. M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2012), A Differential
Evolution Algorithm for Fuzzy Control of Smart Structures, in Proceedings of
the Eleventh International Conference on Computational Structures
Technology, B.H.V. Topping, (Editor), Civil-Comp Press, Stirlingshire,
United Kingdom, 4-7 September 2012, Dubrovnik, Croatia, paper 277,
doi:10.4203/ccp.99.277
79. Y. Marinakis and M. Marinaki, (2011) A Honey Bees Mating Optimization
Algorithm for the Open Vehicle Routing Problem, GECCO: 2011, Genetic
and Evolutionary Computation Conference, 12-16 July 2011, Dublin,
Ireland.
80. G.E. Stavroulakis, N. Kaminakis, Y. Marinakis and M. Marinaki (2009),
―Multiobjective Global Topology Optimization For Structures And
Mechanisms‖, 2th South East European Conference on Computational
Mechanics, 22-24 June 2009, Rhodes, Greece.
81. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2009), ―A Hybrid Discrete
Artificial Bee Colony – GRASP Algorithm for Clustering‖, 39th International
Conference on Computers and Industrial Engineering, 6 - 8 July 2009,
Troyes, France.
82. Y. Marinakis and M. Marinaki, (2009), ―A Hybrid Honey Bees Mating
Optimization Algorithm for the Probabilistic Traveling Salesman Problem‖,
IEEE Congress on Evolutionary Computation (CEC 2009), 18-21 May
2009, Trondheim, Norway.
83. G.E. Stavroulakis, N. Kaminakis, Y. Marinakis, M. Marinaki and N. Skarros,
(2008), ―Optimal Structural and Mechanism Design using Topology
Optimization‖, International Conference on Modeling and Simulation 08,
18-20 November 2008, Petra, Jordan.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
14
84. Y. Marinakis, M. Marinaki and G.E. Stavroulakis, (2008), Particle Swarm
Optimization Approach for Fuzzy Control of Smart Structures‖, in M.
Papadrakakis, B.H.V. Topping, (Editors), 6th International Conference on
Engineering Computational Technology (ECT 2008), 2-5 September 2008,
Athens, Greece, Publisher: Civil-Comp Press, Stirlingshire, UK,
doi:10.4203/ccp.89.80.
85. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2008), ―Honey Bees Mating
Optimization for the Location Routing Problem‖, IEEE International
Engineering Management Conference (IEMC – Europe 2008), 28-30 June
2008, Estoril, Portugal.
86. Y. Marinakis, M. Marinaki and G.E. Stavroulakis, (2008), ―Particle Swarm
Optimization for Structural Control‖, 6th GRACM International Congress
on Computational Mechanics, 19-21 June 2008, Thessaloniki, Greece.
87. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2008), ―A
Memetic-GRASP Algorithm for Clustering‖, 10th International Conference
on Enterprise Informations Systems (ICEIS), 13-16 June 2008, Barcelona,
Spain.
88. N. Thomaidis, Y. Marinakis, M. Marinaki and G. Dounias, (2007), ―Training
Neural Network Based Models Using Trading Related Objective Functions‖,
NISIS 2007, 3rd Annual Symposium, 26-27 November 2007, St Julians,
Malta.
89. N. Thomaidis, Y. Marinakis, M. Marinaki and G. Dounias, (2007),
―Optimization of Complex Financial Models Using Nature Inspired
Techniques‖, NISIS 2007, 3rd Annual Symposium, 26-27 November 2007,
St Julians, Malta.
90. Y. Marinakis, M. Marinaki and G. Dounias, (2007), ―Honey Bees Mating
Optimization Algorithm for Combinatorial Optimization Problems‖, NISIS
2007, 3rd Annual Symposium, 26-27 November 2007, St Julians, Malta.
91. V. Vassiliadis, N. Thomaidis, Y. Marinakis, M. Michalopoulos, G. Dounias,
(2007), ―Investigating Interrelations of Major International Stock Markets with
the Use of Econometric and Intelligent Approaches‖, SIGEF 2007, XIV
Congress of International Association for Fuzzy-Set Management and
Economy, 1-3 November 2007, Poiana, Brasov, Romania.
92. Y. Marinakis and G. Dounias, (2006), ―Nature Inspired Intelligent Techniques
for Pap Smear Diagnosis: Ant Colony Optimization for Cell Classification‖,
The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches
in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006
Symposium, 35 - 45, November 29 - December 1, 2006, Puerto de la Cruz,
Tenerife, Spain.
93. Y. Marinakis and G. Dounias, (2006), ―Pap Smear Diagnosis Using a Hybrid
Intelligent Scheme Focusing on Genetic Algorithm Based Feature Selection
and Nearest Neighbor Classification‖, The Pap Smear Benchmark,
Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis,
Special Session Proceedings of the NISIS - 2006 Symposium, 15-24,
November 29 - December 1, 2006, Puerto de la Cruz, Tenerife, Spain.
94. Y. Marinakis and G. Dounias, (2006), ―Nearest Neighbor Based Pap Smear
Cell Classification Using Tabu Search for Feature Selection‖, The Pap Smear
Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear
Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium,
25-34, November 29 - December 1, 2006, Puerto de la Cruz, Tenerife, Spain.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
15
95. Y. Marinakis, A. Migdalas and L. Pitsoulis, (2002), ―Parallel GRASP for
routing on trees with time windows‖, Proceedings of the 4th GRACM
Congress on Computational Mechanics, June 2002, Patra, Greece.
5.5 Πεξηιήςεηο Άξζξσλ ζε Πξαθηηθά Γηεζλώλ ΢πλεδξίσλ Μεηά από Κξίζε
96. Y. Marinakis, M. Marinaki and A. Migdalas, (2015) ―A Tree Neighborhood
Topology Particle Swarm Optimization Algorithm for the Vehicle Routing
Problem with Stochastic Travel and Service Times‖, World Congress on
Global Optimization – WCGO 2015, 22-25 February 2015, Gainesville,
Florida, USA
97. Y. Marinakis, M. Marinaki and A. Migdalas, (2014) ―An Adaptive Particle
Swarm Optimization Algorithm for the Vehicle Routing Problem with Time
Windows‖, LOT 2014, Logistics, Optimization and Transportation
Conference, 1-2 November 2014 Molde Norway
98. Y. Marinakis and M. Marinaki (2014), ―A GRASP Algorithm with Path
Relinking for the Multi-depot Location Routing Problem with Stochastic
Customers‖, IFORS 2014, 20th Conference of the International Federation
of Operational Research Societies, Barcelona, July 13-18, 2014
99. Y. Marinakis and M. Marinaki, (2014) ―A Multi-Start Variable Neighborhood
Search Algorithm with Path Relinking for the Location Routing Problem with
Stochastic Demands‖, VeRoLog 2014, Third meeting of the EURO Working
Group on Vehicle Routing and Logistics Optimization, Oslo 22-25 June 2014
100. M. Marinaki and Y. Marinakis, (2014) ―An Evolutionary – GRASP Algorithm
with Path Relinking for the Vehicle Routing Problem with Stochastic
Demands‖, VeRoLog 2014, Third meeting of the EURO Working Group on
Vehicle Routing and Logistics Optimization, Oslo 22-25 June 2014
101. Y. Marinakis, M. Marinaki and A. Migdalas (2014) ―Adaptive Tunning of All
Parameters in a Multi-Swarm Particle Swarm Optimization Algorithm. An
Application to the Probabilistic Traveling Salesman Problem‖, Optimization,
Control and Applications in the Information Age, June 15-20, 2014
Meliton Hotel, Porto Carras, Neos Marmaras, Sithonia, Chalkidiki, Greece
102. Y. Marinakis, A. Migdalas (2013) ―An Artificial Bee Colony algorithm for
Multicast Routing Problems‖, XI Balcan Conference on Operational
Research BALCOR 2013, Belgrade & Zlatibor, 7-11 September, 2013
103. Y. Marinakis and A. Migdalas, (2013), Heuristic and Metaheuristic Routing,
3rd International Conference on Network Analysis, May 20 – 22, 2013 in
Nizhny Novgorod, Russia.
104. Y. Marinakis, A. Migdalas and A. Sifaleras (2012), ―A hybrid Particle Swarm
Optimization - Variable Neighborhood Search Algorithm for Constrained
Shortest Path Problems‖, EUROmC – XXVIII – VNS Conference, 4-7
October 2012, Herceg Novi, Montenegro.
105. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2010), ―A
Nature Inspired Multiobjective Optimization Algorithm for Supply Chain
Management Problem‖, 72th Meeting of the Working Group ―Multiple
Criteria Decision Aiding‖, 7-9 October 2010, Paris, France.
106. M. Marinaki, Y. Marinakis, C. Zopounidis, (2010), ―A Clonal Selection
Algorithm for Financial Classification Problems‖, 9th Special Conference of
HELORS on ―Quantitative Models in the Managerial and Financial
Decision Making‖, 27-29 May 2010, Agios Nikolaos, Crete, Greece.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
16
107. M. Doumpos, Y. Marinakis, M. Marinaki, C. Zopounidis, (2007),
―Evolutionary approaches for the development of outranking relation models
in classification problems‖, 66th Meeting of the European Working Group
―Multiple Criteria Decision Aiding‖, 18-20 October 2007, Marrakesh,
Morocco.
108. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2007), ―A Stochastic Nature
Inspired Metaheuristic for Clustering Analysis‖, Book of Abstracts 22nd
European Conference on Operational Research EURO XXII, 8-11 July
2007, Prague, Czech.
109. M. Doumpos, Y. Marinakis, M. Marinaki, and C. Zopounidis, (2007),
―Evolutionary approaches for the development of outranking relation models
in classification problems‖, Book of Abstracts 22nd European Conference
on Operational Research EURO XXII, 8-11 July 2007, Prague, Czech.
110. Y. Marinakis, M. Marinaki, M. Doumpos and C. Zopounidis, (2007), ―Ant
Colony and Particle Swarm Optimization for Financial Classification
Problems‖, Book of Abstracts 22nd European Conference on Operational
Research EURO XXII, 8-11 July 2007, Prague, Czech.
111. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis,
(2007), ―A New Metaheuristic Algorithm for Cluster Analysis‖, Book of
Abstracts of the 5th International Conference on Advances in Global
Optimization: Methods and Applications, June 13 - 17, 2007, Myconos,
Greece.
112. Y. Marinakis, M. Marinaki, M. Doumpos, Y. Efremides, N. Matsatsinis and C.
Zopounidis, (2006), ―Metaheuristic Algorithms for Feature Selection in Credit
Risk Assessment‖, Book of Abstracts of the MCDA64, 28-30 September
2006, Larisa, Greece.
113. Y. Marinakis and A. Migdalas, (2005), ―Bilevel Formulations for Type
Routing Problems and a Solution Method Using a Genetic Algorithm‖, Book
of Abstracts of Multilevel Optimization: Algorithms and Applications, 1517 May 2005, Chania, Greece.
114. Y. Marinakis, A. Migdalas, P.M. Pardalos and M. Marinaki, (2005), ―A
Hybrid Genetic - GRASP Algorithm for the Vehicle Routing Problem‖, Book
of Abstracts of the 4th Annual Florida Supply Chain Management
Conference, 25-27 February 2005, DoubleTree, Cocoa Beach, Florida, USA.
115. Y. Marinakis and A. Migdalas, (2003), ―A Two Phase Local Search GRASP
for the Traveling Salesman Problem‖, Book of Abstracts of the First
International Conference on Computational Management Science, 27 - 30
May 2003, Almyrida, Chania, Greece.
116. A. Migdalas and Y. Marinakis, (2003), ―A Bilevel Programming Approach to
the Location Routing Problem‖, Book of Abstracts of the International
Workshop on Computational Management Science, Economics, Finance
and Engineering, 28-30 March 2003, Limassol, Cyprus.
5.6 Άξζξα ζε Πξαθηηθά Διιεληθώλ ΢πλεδξίσλ Μεηά από Κξίζε
117. M. Marinaki, Y. Marinakis and C. Zopounidis, (2008), ―A Honey Bees Mating
Optimization Algorithm for the Multigroup Credit Risk Assessment Problem‖,
7th Conference of the Hellenic Finance and Accounting Association, 12-13
December 2008, Chania, Crete, Greece.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
17
118. Y. Marinakis and A. Migdalas, (2002), ―A Greedy Randomized Adaptive
Search Procedure (GRASP) for the Vehicle Routing Problem‖, Proceedings
of the 15th National Congress of EEEE, 31 October - 2 November 2002,
Tripoli, Greece.
119. M. Kourgiantakis, Y. Marinakis and A. Migdalas, (2002), ―Modeling and
Analysis of Supply Chain Using Petri Nets‖, Proceedings of the 15th
National Congress of EEEE, 31 October - 2 November 2002, Tripoli,
Greece.
5.7 Πεξηιήςεηο Άξζξσλ ζε Πξαθηηθά Διιεληθώλ ΢πλεδξίσλ Μεηά από Κξίζε
120. I. Rogdakis and Y. Marinakis (2010) ―A Decision Support System for Supply
Chain Management‖, 1st National Student Conference of EEEE, 25-27
November 2010, Athens, Greece.
121. A. Maninakis and Y. Marinakis (2010) ―Solving the Location Routing
Problem using a Memetic Algorithm‖ 1st National Student Conference of
EEEE, 25-27 November 2010, Athens, Greece.
122. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2007),
―Evolution of the population of a Genetic Algorithm using Particle Swarm
Optimization - Application to Clustering Analysis‖, Book of Abstracts of the
5th Meeting of Multicriteria Decision Analysis, 27-28 September 2007,
Chania, Greece.
123. Y. Marinakis, M. Marinaki, and N. Matsatsinis, (2007), ―Ant Colony
Optimization Algorithm for the Vehicle Routing Problem with Stochastic
Demand‖, Book of Abstracts, 19th National Conference of EEEE, 21-23
June 2007, Arta, Greece.
124. Y. Marinakis, M. Marinaki, G. Dounias and C. Zopounidis, (2007),
―Metaheuristic Algorithms in Medicine. The Pap-Smear Cell Classification
Problem‖, Book of Abstracts of the ECO-Q Management and Quality in
Health Care, 30-31 March 2007, Chania, Greece.
125. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis,
(2006), ―Optimization of Nearest Neighbor Classifiers via Metaheuristic
Algorithms used for the Credit Risk Assessment Classification Task‖, Book of
Abstracts of the 4th Meeting of Multicriteria Decision Analysis, 27-28
September 2006, Larisa, Greece.
5.8 Άξζξα ζε Διιεληθά Δπηζηεκνληθά Πεξηνδηθά θαη Βηβιία
126. Γ. Μαξηλάθεο, Μ. Μαξηλάθε θαη Κ. Ενπνπλίδεο (2010), ―Σν παξάδεηγκα ηεο
Μέιηζζαο! Όηαλ ε θύζε εκπλέεη ηα καζεκαηηθά…‖, Δπηζηεκνληθό
Μάξθεηηλγθ, 74, 93-99.
127. Μ. Μαξηλάθε, Γ. Μαξηλάθεο θαη Κ. Ενπνπλίδεο (2008), ―Γελεηηθνί
Αιγόξηζκνη θαη Αμηνιόγεζε ηνπ Πηζησηηθνύ Κηλδύλνπ‖, Δπηζηεκνληθό
Μάξθεηηλγθ, 49, 99-103.
128. Γ. Μαξηλάθεο, Μ. Μαξηλάθε, Γ. Γνύληαο, J. Jantzen θαη Κ. Ενπνπλίδεο,
(2007), ―Μεζεπξεηηθνί Αιγόξηζκνη Βειηηζηνπνίεζεο ζηελ Ηαηξηθή: Σν
πξόβιεκα ηαμηλόκεζεο ησλ θπηηάξσλ πνπ ιακβάλνληαη θαηά ην ηεζη
Παπαληθνιάνπ‖, Θέκαηα Μάλαηδκελη Τπεξεζηώλ Τγείαο, Κ. Ενπνπλίδεο
(Δθδόηεο), 147 – 161, Κιεηδάξηζκνο.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
18
129. Γ. Μαξηλάθεο, Μ. Μαξηλάθε, Μ. Γνύκπνο, Ν. Μαηζαηζίλεο θαη Κ.
Ενπνπλίδεο, (2007), ―Έλαο Τβξηδηθόο Αιγόξηζκνο Πεξηνξηζκέλεο
Αλαδήηεζεο θαη Γηαδηθαζίαο Άπιεζηεο Σπρνπνηεκέλεο Πξνζαξκνζηηθήο
Αλαδήηεζεο γηα ην Πξόβιεκα Οκαδνπνίεζεο‖, ΢πζηήκαηα Απνθάζεσλ κε
Πνιιαπιά Κξηηήξηα, Ν. Μαηζαηζίλεο θαη Κ. Ενπνπλίδεο (Δθδόηεο), 133145, Κιεηδάξηζκνο.
5.9 Δπηκέιεηα Βηβιίσλ
130. Γ. Αζθνύλεο, Η. Μαξηλάθεο θαη Α. Νεάξρνπ, (2012), Δπηκέιεηα Διιεληθήο
Έθδνζεο ηνπ βηβιίνπ Operations and Supply Chain Management, F. Robert
Jacobs and Richard B. Chase (Publisher McGraw-Hill Irwin), Διιεληθόο
ηίηινο: Γηνίθεζε Λεηηνπξγηώλ θαη Δθνδηαζηηθήο Αιπζίδαο, 1ε Διιεληθή
Έθδνζε θαη 13ε Αγγιηθή Έθδνζε, Δθδόζεηο Π.Υ. Παζραιίδεο βηβιηνζήθε
Οηθνλνκηθώλ Δπηζηεκώλ, Broken Hill Publishers Ltd, ISBN 978-960-489149-8.
5.10 Άιιεο Γεκνζηεύζεηο
131. Ενπνπλίδεο Κσλζηαληίλνο, Μαξηλάθεο Γηάλλεο θαη Μαξηλάθε Μαγδαιελή:
―Βαζηθά κνληέια γηα επηινγέο θαη ρξεκαηννηθνλνκηθέο απνθάζεηο. Οη
κέιηζζεο, ηα κπξκήγθηα θαη ε αμηνιόγεζε ηνπ πηζησηηθνύ θηλδύλνπ‖, Κέξδνο,
16/01/2011.
132. Ενπνπλίδεο Κσλζηαληίλνο, Μαξηλάθεο Γηάλλεο θαη Μαξηλάθε Μαγδαιελή:
―Οη κέιηζζεο, ηα κπξκήγθηα θαη ε αμηνιόγεζε ηνπ πηζησηηθνύ θηλδύλνπ‖,
Ναπηεκπνξηθή, 19/08/2010.
133. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο:
―΢πκπεξηθνξά κειηζζώλ θαη πηζησηηθόο θίλδπλνο‖, Καζεκεξηλή, 31/07/2010.
134. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο:
―Μπξκήγθηα ζε ξόιν ... ηξαπεδίηε!‖, BHMASCIENCE, Βηνζπζηήκαηα,
25/07/2010.
135. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο:
―Όηαλ ε θύζε εκπλέεη ηα καζεκαηηθά‖, Υαληώηηθα Νέα, 22/06/2010.
136. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο:
―Σν ζηαπξόιεμν ηεο δηαρείξηζεο ησλ κεηαθνξώλ. Ο ζύλδεζκνο κεηαμύ ηεο
παξαγσγήο, ηεο απνζήθεπζεο θαη ηεο θαηαλάισζεο‖. Αλνηρηό MBA, Σα
κπζηηθά ηεο Γηνίθεζεο Δπηρεηξήζεσλ. Γ’ Κύθινο, Σεύρνο 17, 11/06/2007.
137. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο:
―Ζ Δμππεξέηεζε ηνπ πειάηε ζέιεη ηέρλε θαη πξνηεξαηόηεηεο. Οη πξνθιήζεηο
θαη νη ιεπηέο ηζνξξνπίεο ζηε δηαλνκή πξντόλησλ‖. Αλνηρηό MBA, Σα
κπζηηθά ηεο Γηνίθεζεο Δπηρεηξήζεσλ. Γ’ Κύθινο, Σεύρνο 16, 04/06/2007.
138. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο:
―Σν Παδι ηεο Γηαλνκήο. Πσο ιακβάλνληαη νη απνθάζεηο γηα ηελ Δθνδηαζηηθή
Αιπζίδα‖. Αλνηρηό MBA, Σα κπζηηθά ηεο Γηνίθεζεο Δπηρεηξήζεσλ. Γ’
Κύθινο, Σεύρνο 16, 04/06/2007.
139. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο:
―Ζ Πξόβιεςε ηεο Εήηεζεο ζηελ Δθνδηαζηηθή Αιπζίδα. Γηαρείξηζε Υσξίο
Δθπιήμεηο‖. Αλνηρηό MBA, Σα κπζηηθά ηεο Γηνίθεζεο Δπηρεηξήζεσλ. Γ’
Κύθινο, Σεύρνο 15, 21/05/2007.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
19
140. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο:
―΢σζηή Υσξνζέηεζε Δγθαηαζηάζεσλ Ίζνλ Γξήγνξε Αλάπηπμε. Έλα Κξίζηκν
Εήηεκα γηα ηελ Δθνδηαζηηθή Αιπζίδα‖. Αλνηρηό MBA, Σα κπζηηθά ηεο
Γηνίθεζεο Δπηρεηξήζεσλ. Γ’ Κύθινο, Σεύρνο 15, 21/05/2007.
141. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο:
―΢πζηήκαηα Τπνζηήξημεο Απνθάζεσλ ζηελ Δθνδηαζηηθή Αιπζίδα. Ο
ππνινγηζηήο δίλεη ηε ιύζε‖. Αλνηρηό MBA, Σα κπζηηθά ηεο Γηνίθεζεο
Δπηρεηξήζεσλ. Γ’ Κύθινο, Σεύρνο 15, 21/05/2007.
5.11 Δθζέζεηο Έξεπλαο θαη Αλάπηπμεο
142. Yannis Marinakis, Repoussis Panagiotis, Christos Tarantilis, Yiannis
Mourtos: Energy-Driven Optimization Algorithms Report, ARTISAN
Energy-aware enterprise systems for low-carbon intelligent operations Strep
Project - ICT for a Low Carbon Economy Program¸ Eu Project No.: 287933,
June 2012.
143. Marinakis Y, Migdalas A.: Network for Developing Theory, Methods and
Applications of Nonsmooth Analysis and Optimization, Final Report of the
project INTAS 97-31854, Brussels, Belgium, April 2002.
144. Poulimenos, A., Papageorgiou, M., Kotsialos, A., Marinakis, Y.:
Comparison and Evaluation Results. Deliverable 3.4.1 of the project DELPHI
(26965), European Programme ESPRIT, Brussels, Belgium, October 2000.
145. Poulimenos, A., Papageorgiou, M., Kotsialos, A., Marinakis, Y.:
Calibration and Verification of Prediction Parameters. Deliverable 3.3.1 of the
project DELPHI (26965), European Programme ESPRIT, Brussels, Belgium,
February 2000.
5.12 Γηδαθηηθέο ΢εκεηώζεηο
146. Μαξηλάθεο Ι.: ΢εκεηώζεηο ΢εκηλαξηαθώλ Γηαιέμεσλ Πξνγξακκαηηζκνύ Ζ/Τ
ζε Πεξηβάιινλ MATLAB (VERSION 7.0.1 - Release 14), Μεηαπηπρηαθό
Πξόγξακκα Οηθνλνκηθή θαη Γηνίθεζε γηα Μεραληθνύο , Σκήκα Μεραληθώλ
Οηθνλνκίαο θαη Γηνίθεζεο, Παλεπηζηήκην Αηγαίνπ, Μάξηηνο 2006.
147. Μαξηλάθεο Ι., Μπγδαιάο Α.,: ΢πλδπαζηηθή Βειηηζηνπνίεζε, Σκήκα
Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο, 3ε Έθδνζε,
Οθηώβξηνο 2008, 2ε Έθδνζε, Αύγνπζηνο 2005, 1ε Έθδνζε, ΢επηέκβξηνο
2002.
148. Μπγδαιάο Α., Μαξηλάθεο Ι. Μαπξνκκάηε Α.: ΢ρεδηαζκόο θαη
Βειηηζηνπνίεζε ζηελ Γηαρείξηζε ηεο Δθνδηαζηηθήο Αιπζίδαο, Σκήκα
Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο, 2003.
149. Σζηλαξάθεο Γ., Μαξηλάθεο Ι., Λνκβάξδνπ ΢.:, Πιεξνθνξηθή Η, Σκήκα
Φπζηθώλ Πόξσλ θαη Πεξηβάιινληνο, ΣΔΗ Κξήηεο - Παξάξηεκα Υαλίσλ,
Αθαδεκαηθό Έηνο 2002-2003.
150. Μπγδαιάο Α., Μαξηλάθεο Ι.: Δηζαγσγή ζην LINGO, Σκήκα Μεραληθώλ
Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο, Οθηώβξηνο 2001.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
20
6. ΓΙΑΚΡΙ΢ΔΙ΢
1. Σν άξζξν ―Y. Marinakis, M. Marinaki and G. Dounias, (2011), Honey Bees
Mating Optimization Algorithm for the Euclidean Traveling Salesman
Problem, Information Sciences, 181, 4684 – 4698‖, ηαμηλνκήζεθε:
 19ν βάζε ηνπ Top 25 Hottest Articles in the subject area “Mathematics”,
Elsevier, July to September 2010,
 10ν βάζε ηνπ Top 25 Hottest Articles in Information Sciences, Elsevier,
July to September 2010,
 18ν βάζε ηνπ Top 25 Hottest Articles in Information Sciences, Elsevier,
October to December 2010,
 24ν βάζε ηνπ Top 25 Hottest Articles in Information Sciences, Elsevier,
July to September 2011.
2. Σν άξζξν ―Y. Marinakis, M. Marinaki and G. Dounias, (2010), A Hybrid
Particle Swarm Optimization Algorithm for the Vehicle Routing Problem,
Engineering Applications of Artificial Intelligence, 23, 463-472‖
ηαμηλνκήζεθε:
 1ν βάζε ηνπ Top 25 Hottest Articles in Engineering Applications of
Artificial Intelligence, Elsevier, April to June 2010,
 7ν βάζε ηνπ Top 25 Hottest Articles in Engineering Applications of
Artificial Intelligence, Elsevier, July to September 2010,
 4ν βάζε ηνπ Top 25 Hottest Articles in Engineering Applications of
Artificial Intelligence, Elsevier, January to December 2011 full year,
 11ν βάζε ηνπ Top 25 Hottest Articles in Engineering Applications of
Artificial Intelligence, Elsevier, April to June 2011,
 9ν βάζε ηνπ Top 25 Hottest Articles in Engineering Applications of
Artificial Intelligence, Elsevier, October to December 2011,
 6ν βάζε ηνπ Top 25 Hottest Articles in Engineering Applications of
Artificial Intelligence, Elsevier, January to March 2012.
3. Σν άξζξν ―M. Marinaki, Y. Marinakis and C. Zopounidis, (2010), Honey Bees
Mating Optimization Algorithm for Financial Classification Problems,
Applied Soft Computing, 10, 806-812‖ ηαμηλνκήζεθε:
 12ν βάζε ηνπ Top 25 Hottest Articles in Applied Soft Computing, Elsevier,
April to June 2010,
 23ν βάζε ηνπ Top 25 Hottest Articles in Applied Soft Computing, Elsevier,
July to September 2010.
4. To άξζξν ―Y. Marinakis and M. Marinaki (2010), A Hybrid Multi-Swarm
Particle Swarm Optimization Algorithm for the Probabilistic Traveling
Salesman Problem, Computers and Operations Research, 37, 432-442‖
ηαμηλνκήζεθε:
 10ν βάζε ηνπ Top 25 Hottest Articles in Computers and Operations
Research, Elsevier, October to December 2009,
 18ν βάζε ηνπ Top 25 Hottest Articles in Computers and Operations
Research, Elsevier, October 2009 to September 2010 Academic Year .
5. Eηδηθόο Μεηαπηπρηαθόο Τπόηξνθνο ζην Πνιπηερλείν Κξήηεο, από ηνλ
Ηαλνπάξην ηνπ 2000 κέρξη ηνλ Φεβξνπάξην ηνπ 2002.
6. Τπνηξνθίεο από ην Σερληθό Δπηκειεηήξην Διιάδαο ηα έηε 1996-97 θαη 199798.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
21
7. Τπνηξνθίεο από ην Ίδξπκα Κξαηηθώλ Τπνηξνθηώλ ηα έηε 1996-97 θαη 199798.
7. ΚΡΙΣΗ΢ ΑΡΘΡΧΝ ΢Δ ΓΙΔΘΝΗ ΔΠΙ΢ΣΗΜΟΝΙΚΑ ΠΔΡΙΟΓΙΚΑ
ΚΑΙ ΢ΤΝΔΓΡΙΑ
271
187
Total
Journals with Impact Factor
Impact
Factor
Number
Applied Soft Computing
2,14
35
Engineering Applications of Artificial Intelligence
1,625
21
Computers and Operations Research
1,909
18
Soft Computing
1,124
13
IEEE Transactions on Evolutionary Computation
4,81
12
European Journal of Operational Research
2,038
10
Optimization Letters
1,654
10
Information Sciences
3,643
9
Applied Mathematics and Computation
1,349
7
International Journal of Artificial Intelligence Tools
0,22
4
The Scientific World Journal
1,73
4
Neural Computing & Applications
1,168
3
Neurocomputing
1,634
3
Applied Mathematics and Modelling
1,706
2
Communications in Nonlinear Science and Numerical Simulations
2,773
2
International Journal of Machine Tools & Manufacture
2,262
2
Journal of Zhejiang University SCIENCE A
0,527
2
Transportation Research C
IEEE Computational Intelligence Magazine
2,006
4,629
2
1
Omega
3,024
1
IEEE Transactions on Power Systems
IEEE Transactions on Systems, Man, and Cybernetics--Part C:
Applications and Reviews
2,921
1
2,548
1
Transportation Research Part E
2,272
1
Expert Systems with Applications
1,854
1
Energies
International Journal of Production Research
1,844
1,46
1
1
Mathematical Problems in Engineering
1,383
1
Entropy
1,347
1
International Journal of Systems Science
1,305
1
Transportation Research Part D
1,291
1
IIE Transactions
1,287
1
Simulation Modelling Practice and Theory
1,159
1
Annals of Operations Research
1,029
1
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
22
Environmental Modeling and Assessment
0,977
1
Engineering Optimization
0,962
1
Journal of Classification
0,865
1
TOP
0,843
1
Journal of Applied Mathematics
0,834
1
Journal of Intelligent and Robotic Systems
Optimization A Journal of Mathematical Programming and
Operations Research
0,827
1
0,707
1
Connection Science
0,706
1
Journal of earth systems sciences
0,695
1
Journal of Combinatorial Optimization
0,592
1
International Journal of Electronics and Communications
0,551
1
0,5
1
0,482
1
International Journal of Computer Mathematics
International Journal of Logistics
Journals without Impact Factor
29
Memetic Computing
8
Operational Research. An International Journal
4
Swarm and Evolutionary Computation
4
Human Systems Management
2
International Journal of Information Technology & Decision Making
2
African Journal of Biotechnology
1
Energy Systems
1
International Journal of Data Analysis Techniques and Strategies
1
International Journal of Management Science and Engineering Management
1
New Mathematics and Natural Computation
1
Recent Patents on Electrical Engineering
1
Scientia Iranica
1
Scientific Research and Essayes
1
World Journal of Modeling and Simulation
Conferences
19th IEEE International Conference on Tools with Artificial
Intelligence, 2007
1
55
8th International Conference on Swarm Intelligence - ANTS 2012
2
10th Balcan Conference of Operations Research - BALCOR 2011
Third International Conference on Computational Aspects of Social
Networks CASON 2011
Fourth International Conference on Computational Aspects of Social
Networks CASON 2012
Fifth International Conference on Computational Aspects of Social
Networks CASON 2013
4
EUROmC – XXVIII – VNS Conference
2
Genetic and Evolutionary Computation Conference - GECCO 2011
5
Genetic and Evolutionary Computation Conference - GECCO 2012
3
Genetic and Evolutionary Computation Conference - GECCO 2013
5th International Conference on Hybrid Artificial Intelligence
Systems - HAIS 2010
5
2
2
1
1
2
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
6th International Conference on Hybrid Artificial Intelligence
Systems - HAIS 2011
7th International Conference on Hybrid Artificial Intelligence
Systems - HAIS 2012
8th International Conference on Hybrid Artificial Intelligence
Systems - HAIS 2013
2nd International Conference on Computer and Communication
Technology ICCCT 2011
International Conference of Numerical Analysis and Applied
Mathematics 2009
21st Mediterranean Conference on Control and
Automation - MED 2013
Third World Congress on Nature and Biologically
Inspired Computing NABIC 2011
Fourth World Congress on Nature and Biologically
Inspired Computing NABIC 2012
Fifth World Congress on Nature and Biologically
Inspired Computing NABIC 2013
7th International Conference on Next Generation
Web Services Practices - NWESP 2011
8th International Conference on Next Generation
Web Services Practices - NWESP 2012
World Congress on Information and Communication
Technologies - WICT 2012
23
1
1
2
2
1
2
1
2
2
4
1
7
8. ΜΔΛΟ΢ ΣΗ΢ ΟΡΓΑΝΧΣΙΚΗ΢ ΔΠΙΣΡΟΠΗ΢ ΓΙΔΘΝΧΝ
ΔΠΙ΢ΣΗΜΟΝΙΚΧΝ ΢ΤΝΔΓΡΙΧΝ
[2005] Multilevel Optimization: Algorithms and Applications, May 15-17, Υαληά,
Κξήηε.
[2003] First International Conference on Computational Management, May 27-30,
Αικπξίδα, Απνθνξώλνπ, Κξήηε.
9. ΜΔΛΟ΢ ΣΗ΢ ΔΠΙ΢ΣΗΜΟΝΙΚΗ΢ ΔΠΙΣΡΟΠΗ΢ ΓΙΔΘΝΧΝ
΢ΤΝΔΓΡΙΧΝ
[2015] Genetic and Evolutionary Computation Conference (GECCO 2015), Ant
Colony Optimization and Swarm Intelligence Track, Madrid, Spain, 11-15
July, 2015
[2015] 10th International Conference on Hybrid Artificial Intelligence Systems,
Bilbao, Spain, 22-24 June 2015
[2014] World Congress on Information and Communication Technologies (WICT
2014), Malacca, Malaysia, 08-11 December 2014
[2014] 6th International Conference on Soft Computing and Pattern Recognition
(SoCPaR 2014), 11-14 August 2014, Tunis, Tunisia
[2014] Sixth International Conference on Computational Aspects of Social Networks
(CaSON 2014), 30 July -1 August 2014, Porto, Portugal
[2014] Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC
2014), 30 July -1 August 2014, Porto, Portugal
[2014] Genetic and Evolutionary Computation Conference (GECCO 2014), Ant
Colony Optimization and Swarm Intelligence Track, Vancouver, BC, Canada,
12-16 July, 2014
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
24
[2014] 9th International Conference on Hybrid Artificial Intelligence Systems,
Salamanca, Spain, 11-13 June 2014
[2013] 9th International Conference on Next Generation Web Services Practices
(NwESP 2013), 07-08 December 2013, Casablanca, Morocco
[2013] 8th International Conference on Hybrid Artificial Intelligence Systems,
Salamanca, Spain, 11-13 September 2013
[2013] The Third International Conference on Soft Computing Technology in Civil,
Structural and Environmental Engineering, Cagliari, Sardinia, Italy, 3-6
September 2013.
[2013] Fifth International Conference on Computational Aspects of Social Networks
(CaSON 2013), 12-14 August 2013, Fargo, North Dacota, USA
[2013] Fifth World Congress on Nature and Biologically Inspired Computing (NaBIC
2013), 12-14 August 2013, Fargo, North Dacota, USA
[2013] Genetic and Evolutionary Computation Conference (GECCO 2013), Ant
Colony Optimization and Swarm Intelligence Track, Amsterdam, The
Netherlands, 6-10 July, 2013
[2012] EUROmC – XXVIII – VNS Conference, 4-7 October 2012, Herceg Novi,
Montenegro
[2012] World Congress on Information and Communication Technologies (WICT
2012), India, October 30 - November 2, 2012.
[2012] Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2012),
20-22 December 2012, Bhubaneswar, Orissa, India
[2012] 8th International Conference on Next Generation Web Services Practices
(NwESP 2012), 21-23 November 2012, Sao Carlos, Brazil
[2012] Fourth International Conference on Computational Aspects of Social Networks
(CaSON 2012), 21-23 November 2012, Sao Carlos, Brazil
[2012] Fourth World Congress on Nature and Biologically Inspired Computing
(NaBIC 2012), 5-9 November 2012, Mexico City, Mexico
[2012] ANTS 2012: 8th International Conference on Swarm Intelligence, Brussels,
Belgium, 12-14 September 2012
[2012] Genetic and Evolutionary Computation Conference (GECCO 2012), Ant
Colony Optimization and Swarm Intelligence Track, Philadelphia, USA, 7-11
July, 2012
[2012] 7th International Conference on Hybrid Artificial Intelligence Systems,
Salamanca, Spain, 28-30 March 2012
[2011] Third World Congress on Nature and Biologically Inspired Computing
(NaBIC 2011), 19-21 October 2011, Salamanca, Spain
[2011] Third International Conference on Computational Aspects of Social Networks
(CaSON 2011), 19-21 October 2011, Salamanca, Spain
[2011] Seventh International Conference on Next Generation Web Services Practices
(NwESP 2011), 19-21 October 2011, Salamanca, Spain
[2011] Genetic and Evolutionary Computation Conference (GECCO 2011), Ant
Colony Optimization and Swarm Intelligence Track, Dublin, Ireland, 12-16
July, 2011
[2011] 6th International Conference on Hybrid Artificial Intelligence Systems,
Wroclaw, Poland, 23-25 May 2011
[2010] 1st National Conference of the Finance Engineering and Banking Society,
Athens, Greece, 3-4 December 2010
[2010] 5th International Conference on Hybrid Artificial Intelligence Systems, San
Sebastian, Spain, 23-25 June 2010
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
25
[2010] 9th Special Conference of the Hellenic Operational Research Society,
Quantitative Models in the Managerial and Financial Decision Making, Agios
Nikolaos 28 - 29 May 2010
[2009] 4th International Conference on Hybrid Artificial Intelligence Systems,
Salamanca, Spain, 10-12 June 2009
10. ΔΜΠΔΙΡΙΑ Η/Τ
Λεηηνπξγηθά ΢πζηήκαηα:
Γιώζζεο Πξνγξακκαηηζκνύ:
Τπνινγηζηηθά Παθέηα:
Unix, Linux, DOS, Windows 3.1, 95, NT, 98, 2000,
Millennium, XP
Visual Basic, C, C++, Fortran(77,90,95), Html, PHP
MatLab, LINDO, LINGO, MPL, SciLab, Microsoft
Office, Star Office, Visio, Ms Project,
DreamWeaver, Winteracter, Simul8
11. ΔΡΔΤΝΗΣΙΚΑ ΔΝΓΙΑΦΔΡΟΝΣΑ



















Αιγόξηζκνη Δκπλεπζκέλνη από ηελ Φύζε
Γηαρείξηζε Αιπζίδαο Πξνκεζεηώλ
΢ηνραζηηθνί Αιγόξηζκνη Βειηηζηνπνίεζεο
΢ηνραζηηθή Βειηηζηνπνίεζε
Θεσξία Παηγλίσλ
Δθνδηαζηηθή Αιπζίδα
Γξνκνιόγεζε Oρεκάησλ θαη Γηαλνκέο
Δπηρεηξεζηαθή Έξεπλα
Μεζεπξεηηθνί Αιγόξηζκνη
Έιεγρνο Καηαζθεπώλ
Βέιηηζηνο Έιεγρνο
Δμόξπμε Γλώζεο από Γεδνκέλα
Τπνινγηζηηθά Τπνβνεζνύκελε Ηαηξηθή Λήςε Απνθάζεσλ
Πεξηβαιινληηθή Γηαρείξηζε θαη Λήςε Απνθάζεσλ
Πνζνηηθέο Μέζνδνη Γηνίθεζεο
Υξεκαηννηθνλνκηθή Λήςε Απνθάζεσλ
΢πλδπαζηηθή Βειηηζηνπνίεζε
Γηεπίπεδνο Πξνγξακκαηηζκόο
Γίθηπα Παξαγσγήο.
12. ΑΛΛΔ΢ ΠΛΗΡΟΦΟΡΙΔ΢
1. Μέινο ηεο Διιεληθήο Δηαηξείαο Δπηρεηξεζηαθώλ Δξεπλώλ (ΔΔΔΔ) από ην
΢επηέκβξην ηνπ 2006.
2. Μέινο ηνπ EU/ME European Chapter on Metaheuristics
3. Μέινο ηνπ Multiple Criteria Decision Aiding (MCDA)
4. Μέινο ηεο Δπηζηεκνληθήο Δηαηξείαο Υξεκαηννηθνλνκηθήο Μεραληθήο θαη
Σξαπεδηθήο
5. Μέινο ηνπ Euro Working Group on Vehicle Routing and Logistics
Optimization (VeRoLog)
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
26
13. ΔΠΙΒΛΔΦΗ ΜΔΣΑΠΣΤΥΙΑΚΧΝ ΔΡΓΑ΢ΙΧΝ
1. Ο Αιγόξηζκνο ηεο Τερλεηήο Απνηθίαο Μειηζζώλ γηα ην Δπηιεθηηθό Πξόβιεκα
ηνπ Πιαλώδηνπ Πσιεηή, Λεκεληηάθεο Υαξίιανο, Φεβξνπάξηνο 2015
2. Φξνλνπξνγξακκαηηζκόο παξαγσγήο ζε βηνκεραλία ράξηηλεο ζπζθεπαζίαο κε
ρξήζε αιγνξίζκνπ ζκήλνπο ζσκαηηδίσλ, Κπδσληέσο Κπξηαθή, Φεβξνπάξηνο
2015
3. Μεζεπξεηηθνί θαη Δμειηθηηθνί Αιγόξηζκνη γηα ην Γεληθεπκέλν Πξόβιεκα
Αλάζεζεο, Μαζέιεο Γεώξγηνο, Ηαλνπάξηνο 2015
4. Δπίιπζε ηνπ Σπζζσξεπηηθνύ Πξνβιήκαηνο δξνκνιόγεζεο κε απηνξπζκηδόκελν
αιγόξηζκν ηεο απνηθίαο κπξκεγθηώλ, Κπξηαθάθεο Νηθόιανο – Αληώληνο,
Ηαλνπάξηνο 2015
5. Δθαξκνγή ηνπ αιγνξίζκνπ βειηηζηνπνίεζεο απνηθίαο κειηζζώλ ζε πξνβιήκαηα
δξνκνιόγεζεο νρεκάησλ, Μαξαγθνπδάθεο Αλδξέαο, Μάξηηνο 2013
6. Αλάπηπμε αιγνξίζκνπ ηερλεηνύ αλνζνπνηεηηθνύ ζπζηήκαηνο γηα ηελ επίιπζε ηνπ
πξνβιήκαηνο πξνγξακκαηηζκνύ εξγαζηώλ ζπλερνύο ξνήο, Ραπαλάθε
Δκκαλνπέια, Ννέκβξηνο 2012
7. Δπίιπζε πξνβιήκαηνο δξνκνιόγεζεο νρεκάησλ κε ζηνραζηηθή δήηεζε κε ρξήζε
Αιγνξίζκσλ Δκπλεπζκέλσλ από ηε Φύζε, Ηνξδαλίδνπ Ρνπκπίλε – Γεσξγία,
Οθηώβξηνο 2012
8. Δπίιπζε ηνπ πξνβιήκαηνο ηνπ Πιαλόδηνπ Πσιεηή κε πνιιαπιέο αληηθεηκεληθέο
ζπλαξηήζεηο κε ρξήζε ηνπ αιγνξίζκνπ Βειηηζηνπνίεζεο Εεπγαξώκαηνο
Μειηζζώλ, Φύραο Γεκήηξηνο-Ζξαθιήο, Οθηώβξηνο 2012
9. Δπίιπζε ηνπ πξνβιήκαηνο Πιαλόδηνπ Πσιεηή κε πνιιαπιέο αληηθεηκεληθέο
ζπλαξηήζεηο κε ρξήζε ηνπ Αιγόξηζκνπ Δπηινγήο Κιώλσλ, Γειήκπαζε Διέλε,
Οθηώβξηνο 2012
10. Δθαξκνγή ηνπ αιγνξίζκνπ Τερλεηήο Απνηθίαο Μειηζζώλ ζε πξνβιήκαηα
ρσξνζέηεζεο εγθαηαζηάζεσλ, Πατδάθεο Παλαγηώηεο, Ηνύιηνο 2012
11. Τν πξόβιεκα ηεο δξνκνιόγεζεο νρεκάησλ κε πνιιαπιέο απνζήθεο ιπκέλν κε
ηε κέζνδν ηεο βειηηζηνπνίεζεο ζκήλνπο ζσκαηηδίσλ, Αιεβίδνο Μηράιεο,
Μάξηηνο 2012
12. Δπίιπζε ηνπ Πξνβιήκαηνο Γξνκνιόγεζεο Ορεκάησλ κε Φξνληθά Παξάζπξα
κέζσ Μηκεηηθνύ Αιγόξηζκνπ, Γεκήηξνπιαο Γηνλύζηνο, Ηαλνπάξηνο 2012
13. Φσξνζέηεζε Δγθαηαζηάζεσλ Απιήο Αλάζεζεο κε Πεξηνξηζκνύο Φσξεηηθόηεηαο
κε ηνλ Αιγόξηζκν Βειηηζηνπνίεζεο Εεπγαξώκαηνο Μειηζζώλ, Φηκνύιεο
΢ηαύξνο, Ηαλνπάξηνο 2012
14. Μνληεινπνίεζε θαη αιγόξηζκνη βειηηζηνπνίεζεο πξνβιεκάησλ ζαιάζζησλ
κεηαθνξώλ, Σζακπάο Πέηξνο, Μάξηηνο 2011
15. Γηαρείξηζε Αεξνπνξηθνύ Υιηθνύ ζε Αεξνπνξηθή Δηαηξεία, Γνιαςάθε
Δπαγγειία, Ννέκβξηνο 2010.
16. Έλα ζύζηεκα ππνζηήξημεο απνθάζεσλ γηα ηελ επίιπζε πξνβιεκάησλ
εθνδηαζηηθήο αιπζίδαο κε ηελ ρξήζε εμειηθηηθώλ αιγνξίζκσλ, Ρνγδάθεο
Ησάλλεο, Ννέκβξηνο 2010
17. Πξνζαξκνγή θαη εθαξκνγή κεζεπξεηηθώλ αιγνξίζκσλ ζηελ επίιπζε
πξνβιεκάησλ ζρεδηαζκνύ δηθηύσλ, Σδηιηβάθεο Αληώληνο, Ννέκβξηνο 2010
18. Αλάπηπμε Αιγνξίζκνπ Τερλεηνύ Αλνζνπνηεηηθνύ Σπζηήκαηνο γηα ηελ Δπίιπζε
ηνπ Πξνβιήκαηνο Γξνκνιόγεζεο Ορεκάησλ, Δπηπρία Γεσξγίνπ, Υαληά,
Απξίιηνο 2010
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
27
19. Αλάπηπμε εμειηθηηθνύ αιγνξίζκνπ γηα ηελ επίιπζε πξνβιεκάησλ δηεπίπεδεο
βειηηζηνπνίεζεο, (ζπλεπηβιέπσλ Β. Κνπτθόγινπ), Βιάζζε Αλησλία, Μάξηηνο
2010.
20. Αλάπηπμε Δμειηθηηθνύ Αιγνξίζκνπ γηα ην Πξόβιεκα Γξνκνιόγεζεο Ορεκάησλ
κε Σηνραζηηθή Εήηεζε, Παξαζθεπή ΢παλνύ, Υαληά Φεβξνπάξηνο 2010
21. Δπίιπζε ηνπ πξνβιήκαηνο πξνγξακκαηηζκνύ εξγαζηώλ κε ηελ ρξήζε
αιγνξίζκσλ εκπλεπζκέλσλ από ηελ θύζε, Μηραήι Βηηηώξηαο, Υαληά,
Ηαλνπάξηνο 2010
22. Βειηηζηνπνίεζε ζρεδηαζκνύ ζπζηεκάησλ αλαλεώζηκσλ πεγώλ ελέξγεηαο κε
ρξήζε γελεηηθώλ αιγνξίζκσλ θαη αιγνξίζκσλ λνεκνζύλεο ζκήλνπο, Άξεο
Κνξλειάθεο, Υαληά, ΢επηέκβξηνο 2009
23. Τν Πξόβιεκα Γξνκνιόγεζεο Ορεκάησλ κε Σηνραζηηθή Εήηεζε θαη Φξνληθά
Παξάζπξα, Βαζηιηθνύ Ακαιία, Σκήκα Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο,
Υίνο, Μάξηηνο 2008.
14. ΔΠΙΒΛΔΦΗ ΓΙΠΛΧΜΑΣΙΚΧΝ ΔΡΓΑ΢ΙΧΝ ΢ΣΟ ΣΜΗΜΑ
ΜΗΥΑΝΙΚΧΝ ΠΑΡΑΓΧΓΗ΢ ΚΑΙ ΓΙΟΙΚΗ΢Η΢
1. Τν Πξόβιεκα δξνκνιόγεζεο κε παξαιαβέο θαη παξαδόζεηο κε ρξήζε ηνπ
αιγνξίζκνπ Πεξηνξηζκέλεο Αλαδήηεζεο, Γνληδάθεο Ησάλλεο, Ηνύιηνο 2014
2. Δπίιπζε πξνβιήκαηνο δηαλνκήο πιηθώλ ζε νδηθό δίθηπη κε ηε βνεζεία ηνπ
γελεηηθνύ αιγνξίζκνπ ηεο κνπζηθήο αξκνλίαο ζε γιώζζα C++, Καλάηνο
Δπζύκηνο, Ηνύιηνο 2014
3. Δπίιπζε πξνβιήκαηνο πξνγξακκαηηζκνύ παξάγσγεο θαηά παξαγγειία κε ηε
ρξήζε ηνπ κεζεπξεηηθνύ αιγνξίζκνπ πεξηνξηζκέλεο αλαδήηεζεο, Ηεξσλπκάθεο
Κσλζηαληίλνο, Μάξηηνο 2014
4. Αιγόξηζκνο Βειηηζηνπνίεζεο Σκήλνπο Μειηζζώλ γηα πξόβιεκα δξνκνιόγεζεο
νρεκάησλ εθνδηαζηηθήο, Παπαδόπνπινο Γεκήηξηνο, Μάξηηνο 2014
5. Μνληεινπνίεζε θαη επίιπζε ηνπ πξνβιεκαηνο αλάζεζεο πειαηώλ ζε
απηνθηλεηηζηέο, Φνύληαο Υαξάιακπνο, Μάξηηνο 2014
6. Αιγόξηζκνο Πεξηνξηζκέλεο Αλαδήηεζεο γηα ην πξόβιεκα δξνκνιόγεζεο θαη
απνζεκαηνπνίεζεο, Μαξθνπιάθεο Βαζίιεηνο, Οθηώβξηνο 2013
7. Τν Σπζζσξεπηηθό Πξόβιεκα δξνκνιόγεζεο νρεκάησλ κε ρξήζε αιγνξίζκνπ
ACO, Κπξηαθάθεο Νηθόιανο-Αληώληνο, Οθηώβξηνο 2013
8. Δμειηθηηθόο
αιγόξηζκνο
βειηηζηνπνίεζεο
ηνπ
πξνβιήκαηνο
ρξνλνπξνγξακκαηηζκνύ παξαγσγήο, Εσγξάθνο Γηώξγνο, Οθηώβξηνο 2013
9. Μεζεπξεηηθόο αιγόξηζκνο γηα ρξνλνπξνγξακκαηηζκό εξγαζηώλ, Κνπξνπληώηεο
Γηώξγνο, Οθηώβξηνο 2013
10. Δπίιπζε ηνπ πξνβιήκαηνο δξνκνιόγεζεο νρεκάησλ κε πνιιαπιέο απνζήθεο κε
ρξήζε γελεηηθνύ αιγόξηζκνπ πνιιαπιώλ πιεζπζκώλ-λεζηώλ, Μπαληνπβάθεο
Γηώξγνο – Παλαγηώηεο, Ηνύιηνο 2013
11. Πξόβιεκα Γξνκνιόγεζεο Ορεκάησλ κε Πνιιαπιέο Απνζήθεο, Κνκπόηεο
Παλαγηώηεο, Απξίιηνο 2013
12. Δπίιπζε ηνπ Πεξηνξηζκέλεο Φσξεηηθόηεηαο Πξνβιήκαηνο Γξνκνιόγεζεο
Ορεκάησλ γηα ηελ Δμππεξέηεζε Πειαηώλ κέζα ζε Γεδνκέλα Φξνληθά
Παξάζπξα κε Φξήζε ηνπ Αιγνξίζκνπ Βειηηζηνπνίεζεο Απνηθίαο Μπξκεγθηώλ,
Σηκνζεάηνο Παλαγηώηεο, Μάξηηνο 2013
13. Δύξεζε Βέιηηζηεο Λύζεο Γπλακηθνύ Αζζύκεηξνπ Πξνβιήκαηνο Πιαλώδηνπ
Πσιεηή, Βαζηιαθάθνο Βαζίιεηνο, Μάξηηνο 2013
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
28
14. Δπίιπζε ηνπ Πξνβιεκάησλ P-Μέζσλ θαη Φσξνζέηεζεο Δγθαηαζηάζεσλ
Πεξηνξηζκέλεο Φσξεηηθόηεηαο κε ηνλ Αιγόξηζκν Βειηηζηνπνίεζεο Απνηθίαο
Μπξκεγθηώλ, Ξπδηάο Γεώξγηνο, (Ζιεθηξνληθόο Μεραληθόο – ζπλεπηβιέπσλ Γ.
΢ηαπξαθάθεο), Ννέκβξηνο 2012
15. Δπίιπζε ηνπ πξνβιήκαηνο δξνκνιόγεζεο απνζεκάησλ κε ρξήζε ηνπ αιγνξίζκνπ
βειηηζηνπνίεζεο ζσκαηηδίσλ, Γαθέξκνο ΢ηέιηνο, Οθηώβξηνο 2012
16. Υβξηδηθνί αιγόξηζκνη δηαθνξηθήο εμέιημεο ζην πξόβιεκα πξνγξακκαηηζκόο
ζπζηεκάησλ παξαγσγήο ζπλερνύο ξνήο - Δθαξκνγή κε πξαγκαηηθά δεδνκέλα
εηαηξίαο κε επέιηθην ζύζηεκα παξαγσγήο ζπλερνύο ξνήο.
Γεπνύληε
Χξαηνδήιε, Οθηώβξηνο 2012
17. Δμειηθηηθόο Αιγόξηζκνο γηα ην Δπηιεθηηθό Πξόβιεκα ηνπ Πιαλόδηνπ Πσιεηή.
Πνιίηεο Μηραήι, ΢επηέκβξηνο 2012
18. Δπίιπζε ηνπ Πξνβιήκαηνο Γξνκνιόγεζεο Ορεκάησλ θαη Φσξνζέηεζεο
Δγθαηαζηάζεσλ κε ηε ρξήζε Μηκεηηθώλ Αιγνξίζκσλ. Μαληλάθεο Αλδξέαο,
Μάξηηνο 2012
19. Ejection Chain Algorithms γηα ηελ επίιπζε TSP θαη VRP πξνβιεκάησλ.
΢ηακαηόπνπινο Δπζηάζηνο, Γεθέκβξηνο 2011
20. Δπίιπζε ηνπ Πξνβιήκαηνο Γξνκνιόγεζεο Ορεκάησλ κε Φξνληθά Παξάζπξα κε
ηνλ Αιγόξηζκν Πεξηνξηζκέλεο Αλαδήηεζεο, Κσλζηαληίλνο Κόιιηαο, Μαΐνο
2011
21. Τν πξόβιεκα δξνκνιόγεζεο απνζεκάησλ κε ηε ρξήζε γελεηηθώλ αιγνξίζκσλ,
Λεσλίδαο Υαβδνύιαο, Μάξηηνο 2011
22. Δπίιπζε πξνβιήκαηνο δξνκνιόγεζεο νρεκάησλ κε ζηνραζηηθή δήηεζε κε
ρξήζε ηνπ Αιγνξίζκνπ Βειηηζηνπνίεζεο Σκήλνπο Σσκαηηδίσλ, Ηνξδαλίδνπ
Γεσξγία – Ρνπκπίλε, Μάξηηνο 2011
23. Ζ Γηαρείξηζε ησλ Απνζεκάησλ ζηελ Δθνδηαζηηθή Αιπζίδα. Ζ πεξίπησζε ηνπ
πξνβιήκαηνο ηεο δξνκνιόγεζεο ησλ απνζεκάησλ, Γπκλόπνπινο
Κσλζηαληίλνο, Φεβξνπάξηνο 2011
24. Δπίιπζε ηνπ πξνβιήκαηνο ηνπ Πιαλόδηνπ Πσιεηή κε πνιιαπιέο αληηθεηκεληθέο
ζπλαξηήζεηο κε ρξήζε ηνπ αιγνξίζκνπ Γηαθνξηθήο Δμέιημεο, Φύραο Γεκήηξηνο
– Ζξαθιήο, Γεθέκβξηνο 2010
25. Δπίιπζε ηνπ πξνβιήκαηνο πιαλόδηνπ πσιεηή κε πνιιαπιέο αληηθεηκεληθέο
ζπλαξηήζεηο κε ρξήζε ηνπ Αιγόξηζκνπ Βειηηζηνπνίεζεο Σκήλνπο Σσκαηηδίσλ,
Γειήκπαζε Διέλε, Γεθέκβξηνο 2010
26. Δπίιπζε ηνπ πξνβιήκαηνο δξνκνιόγεζεο νρεκάησλ ρσξίο επηζηξνθή ζηελ
απνζήθε κε ηνλ Αιγόξηζκν Βειηηζηνπνίεζεο Απνηθίαο Μπξκεγθηώλ,
Απξειηώλεο ΢ππξίδσλ, Ννέκβξηνο 2010
27. Δπίιπζε Πξνβιήκαηνο Γξνκνιόγεζεο Ορεκάησλ κε ηε Φξήζε Αιγνξίζκνπ
Πεξηνξηζκέλεο Αλαδήηεζεο, Μπισλάο Ηππνθξάηεο, Οθηώβξηνο 2010.
28. Απνηύπσζε Φξεκαηηζηεξηαθώλ Γεηθηώλ κέζσ ελόο Μεζεπξεηηθνύ Αιγνξίζκνπ
Πνιπθξηηήξηαο Βειηηζηνπνίεζεο, Παληαδήο Ραθαήι – Γηνγέλεο (ζπλεπηβιέπσλ
Μ. Γνύκπνο), Οθηώβξηνο 2010.
29. Αλάπηπμε ππνινγηζηηθνύ ζπζηήκαηνο γηα ηελ επίιπζε πξνβιεκάησλ
εθνδηαζηηθήο αιπζίδαο, Βεληδέινο Αζαλάζηνο, (Ζιεθηξνληθόο Μεραληθόο –
ζπλεπηβιέπσλ Γ. ΢ηαπξαθάθεο), Οθηώβξηνο 2010.
30. Αλάπηπμε αιγνξίζκνπ γηα ηελ επίιπζε ηνπ πξνβιήκαηνο p-κέζσλ (p-median)
θαη p-θέληξσλ (p-center), Παπαζηεθάλνπ Δπάγγεινο, Ηνύιηνο 2010.
31. Μεζεπξεηηθόο Αιγόξηζκνο γηα ηελ Δπίιπζε ηνπ Σύλζεηνπ Πξνβιήκαηνο
Φσξνζέηεζεο Δγθαηαζηάζεσλ θαη Γξνκνιόγεζεο Ορεκάησλ, ΢ηξαηάθε
Υξπζάλζε, Ηνύληνο 2010
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
29
32. Δθαξκνγή Γελεηηθώλ Αιγνξίζκσλ ζην Πξόβιεκα Γηαλνκήο κηαο Δηαηξείαο
Αινπκηλίνπ, Κνύλνππα Υξπζνύια, Φεβξνπάξηνο 2010
33. Βειηηζηνπνίεζε ηνπ εθνδηαζκνύ ησλ ζπζηεκάησλ εθηξνθήο πηελώλ κε
δσνηξνθέο, Γαβξείινγινπ Δπζηάζηνο, Ηαλνπάξηνο 2010
34. Βειηηζηνπνίεζε θόζηνπο ζηελ Αιπζίδα Γηαλνκήο Πξντόλησλ Supermarket,
Αγαιηαλόο Φώηεο, ΢επηέκβξηνο 2009
35. Μεκεηηθόο Αιγόξηζκνο Πνιιαπιώλ Πιεζπζκώλ – Νεζηώλ ζην πξόβιεκα VRP,
Ρνγδάθεο Ησάλλεο, ΢επηέκβξηνο 2009
36. Αιγόξηζκνο πιεζηέζηεξνπ γείηνλα γηα ην πξόβιεκα δξνκνιόγεζεο απνζεκάησλ,
Σζνπθαιά Γεσξγία, ΢επηέκβξηνο 2009
37. Πξόβιεςε ηεο ηηκήο ηεο Δζληθήο Τξάπεδαο ηεο Διιάδνο κε ρξήζε λεπξσληθώλ
δηθηύσλ, ΢σκαξάο Αλδξέαο, Ηνύιηνο 2009.
38. Αιγόξηζκνο Δπαλαιεπηηθήο Δπαλαζύλδεζεο Γηαδξνκώλ κε Φξήζε Τνπηθήο
Αλαδήηεζεο γηα ην Πξόβιεκα Γξνκνιόγεζεο Ορεκάησλ, Κηλεθιήο Βαζίιεηνο,
Ηνύληνο 2009.
39. Αλαδηάξζξσζε ησλ Απνζεθεπηηθώλ Φώξσλ ηνπ ΟΤΔ κέζσ εθαξκνγήο
LOGISTICS, Αζεκηλάθεο Μηραήι, Οθηώβξηνο 2008.
40. Μειέηε πξνβιεκάησλ δξνκνιόγεζεο νρεκάησλ κε ηελ εξγαιεηνζήθε Matlog,
Αληξένπ Μαξία, Αύγνπζηνο 2008.
15. ΔΣΔΡΟΑΝΑΦΟΡΔ΢
΢πλνιηθέο Δηεξναλαθνξέο: 905
The paper ―Particle Swarm Optimization with Expanding Neighborhood Topology for
the Permutation Flowshop Scheduling Problem‖, Soft Computing, 17(7), 1159-1173,
(2013)‖ is cited by:
1.
2.
3.
4.
5.
6.
7.
Chun-Lung Chen, Shin-Ying Huang, Yeu-Ruey Tzeng, Chuen-Lung Chen, A
revised discrete particle swarm optimization algorithm for permutation flowshop scheduling problem, Soft Computing, (2014), 18, 2271-2282 DOI
10.1007/s00500-013-1199-z
Juan José Palacios, Inés González-Rodríguez, Camino R. Vela, Jorge Puente,
Swarm lexicographic goal programming for fuzzy open shop scheduling,
Journal of Intelligent Manufacturing DOI 10.1007/s10845-013-0850-y
J. Behnamian, Particle swarm optimization-based algorithm for fuzzy parallel
machine scheduling, Int J Adv Manuf Technol (2014) 75:883–895
Xiaolei Liang, Wenfeng Li, Yu Zhang, MengChu Zhou, An adaptive particle
swarm optimization method based on clustering, Soft Comput DOI
10.1007/s00500-014-1262-4
Hao Liu · Gang Xu · Guiyan Ding · Dawei Li, Integrating opposition-based
learning into the evolution equation of bare-bones particle swarm
optimization, Soft Comput DOI 10.1007/s00500-014-1444-0
Wu, D., A switching particle swarm optimization for multimodal optimization
problem, 2014 Chinese Control Conference, CCC 6896263, pp. 7585-7588
Li, Z., Xu, Z.-H., Gu, X.-S., Improved particle swarm optimization algorithm
for multiproduct batch plant scheduling problem with zero wait policy, 2014
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing
Systems, CIMS 20 (7), pp. 1654-1664
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
30
8.
Engelbrecht, A.P., Particle swarm optimization, 2014 GECCO 2014 Companion Publication of the 2014 Genetic and Evolutionary Computation
Conference pp. 381-406
9. Li, J.-Q., Pan, Q.-K., Mao, K., Hybrid particle swarm optimization for hybrid
flowshop scheduling problem with maintenance activities, Scientific World
Journal 2014, 596850
10. Engelbrecht, A.P. Particle swarm optimization: Global best or local best?
Proceedings - 1st BRICS Countries Congress on Computational Intelligence,
BRICS-CCI 2013 6855840, pp. 124-135
The paper ―Particle Swarm Optimization for the Vehicle Routing Problem with
Stochastic Demands‖, Applied Soft Computing, 13, 1693-1704, 2013‖ is cited by:
11. Takwa Tlili, Sami Faiz and Saoussen Krichen, INTEGRATION OF GIS AND
OPTIMIZATION ROUTINES FOR THE VEHICLE ROUTING PROBLEM,
International Journal of Chaos, Control, Modelling and Simulation
(IJCCMS) Vol.2, No.2, June 2013, DOI : 10.5121/ijccms.2013.2202, 9-17
12. FAN Cheng-li, XING Qing-hua, FAN Hai-xiong, LI-Xiang, The Particle
Swarm Optimization and Variable Neighborhood Search Algorithm with
Convergence Criterions, Control and Decision, 29 (4), DOI:
10.13195/j.kzyjc.2012.1913
13. Zhen Yaobao, Hu Ping, and Yang Shu, An Improved Particle Swarm
Optimization for the Automobile Spare Part Warehouse Location Problem,
Hindawi Publishing Corporation Mathematical Problems in Engineering
Volume
2013,
Article
ID
726194,
6
pages,
http://dx.doi.org/10.1155/2013/726194
14. Hao Liu, Guiyan Ding, Bing Wanga, Bare-bones particle swarm optimization
with disruption Operator, Applied Mathematics and Computation 238
(2014) 106–122
15. Naser Ghorbani, Ebrahim Babaei, Exchange market algorithm, Applied Soft
Computing 19 (2014) 177–187
16. P. Loganthurai, V. Rajasekaran, K. Gnanambal, Optimization of operating
schedule of machines in granite industry using evolutionary algorithms,
Energy Conversion and Management 86 (2014) 809–817
17. Junliang He, Youfang Huang, Wei Yan, Yard crane scheduling in a container
terminal for the trade-off between efficiency and energy consumption, Adv.
Eng. Informat. (2014), http://dx.doi.org/10.1016/j.aei.2014.09.003
18. Hung-Hsu Tsai, Bae-Muu Chang, Shin-Hung Liou, Rotation-invariant texture
image retrieval using particle swarmoptimization and support vector
regression, Applied Soft Computing 17 (2014) 127–139
19. Angel A. Juan, Jarrod Goentzel, Tolga Bektas, Routing fleets with multiple
driving ranges: Is it possible to use greener fleet configurations? Applied Soft
Computing 21 (2014) 84–94
20. de Araújo, P. L. F., Horstkemper, D., de Siqueira, D., Hellingrath, B., Gomes,
P. d. L. M., & Buarque, d. L. N. F. (2013). Comparison of Optimization
Techniques for Complex Supply Chain Network Planning Problems. In
Proceedings of the XXVII Congresso Nacional de Pesquisa e Ensino em
Transporte, Belém, Brasilien
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
31
21. Bárbara de Cássia Xavier Cassins Aguiar, Paulo Henrique Siqueira, Giancarlo
de França Aguiar, Luzia Vidal de Souza, Particle Swarm Optimization for
Vehicle Routing Problem with Fleet Heterogeneous and Simultaneous
Collection and Delivery, Applied Mathematical Sciences, Vol. 8, 2014, no.
77, 3833 – 3849, http://dx.doi.org/10.12988/ams.2014.45366
22. Hao Liu · Gang Xu · Guiyan Ding · Dawei Li, Integrating opposition-based
learning into the evolution equation of bare-bones particle swarm
optimization, Soft Comput DOI 10.1007/s00500-014-1444-0
23. Lorena S. Reyes-Rubiano, Carlos L. Quintero-Araújo, Andrés F. TorresRamos, Modelo Matemático para la Programación de Personal Especializado
en Logística Humanitaria Post-Desastre, Twelfth LACCEI Latin American
and Caribbean Conference for Engineering and Technology (LACCEI‘2014)
―Excellence in Engineering To Enhance a Country‘s Productivity‖ July 22 24, 2014 Guayaquil, Ecuador.
24. Zeng, Y., Li, W.-J., Chen, Y.-Y., Tang, L.-R., A congestion avoidance
algorithm based on the service priority for electric power dispatching data
network, 2014 Dianli Xitong Baohu yu Kongzhi/Power System Protection
and Control 42 (2), pp. 49-55
25. Ma, H.W., The optimization model for vehicle routing program based on
travel time reliability, 2014 Applied Mechanics and Materials 543-547, pp.
12-15
26. Ying, Z., Jiang, K.-M., Chen, Y.-Y., Tang, L.-R., A novel load balancing
algorithm based on binary particle swarm optimization for heterogeneous
integrated networks, 2013 Proceedings - International Conference on
Natural Computation 6818023, pp. 476-480
The paper ―Multiple Phase Neighborhood Search GRASP for the Capacitated
Vehicle Routing Problem‖, Expert Systems with Applications, 39, 6807-6815‖ is cited
by:
27. Zahra Saadati Eskandari, Majid Yousefikhoshbakht, Solving the Vehicle
Routing Problem by using an Effective Reactive Bone Route Algorithm,
Transportation Research Journal 1 (2012) 51-67
28. Saoussen Krichen and Sami Faiz, Geographical Information Systems and
Spatial Optimization, CRC Press 2012, Print ISBN: 978-1-4665-7747-3,
eBook ISBN: 978-1-4665-7748-0
29. Layeb, A., Ammi, M., Chikhi, S., A GRASP algorithm based on new
randomized heuristic for vehicle routing problem, Journal of Computing and
Information Technology 21 (1) , pp. 35-46, 2013
30. Tang, J., Ma, Y., Guan, J., Yan, C., A Max-Min Ant System for the split
delivery weighted vehicle routing problem, Expert Systems with
Applications 40 (18) , pp. 7468-7477, 2013.
31. Lin, C., Choy, K.L., Ho, G.T.S., Chung, S.H., Lam, H.Y., Survey of Green
Vehicle Routing Problem: Past and future trends, Expert Systems with
Applications 41 (4 PART 1) , pp. 1118-1138, 2014
32. Jovanović, A.D., Pamučar, D.S., Pejčić-Tarle, S., Green vehicle routing in
urban zones - A neuro-fuzzy approach, Expert Systems with Applications 41
(7) , pp. 3189-3203, 2014
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
32
The paper ―Vibration Control of Beams with Piezoelectric Sensors and Actuators
using Particle Swarm Optimization‖, Expert Systems with Applications, 38, 68726883, 2011‖ is cited by:
33. Sonda Hbaieb, Souhail Dhouib, and Habib Chabchoub, A Decision Support
System Based on Metaheuristic Model for Aircrafts Landing Problems, R.
Meersman, T. Dillon, and P. Herrero (Eds.): OTM 2011 Workshops, LNCS
7046, pp. 571–580, 2011. © Springer-Verlag Berlin Heidelberg 2011
34. S. Mobayen, A. Rabiei, M. Moradi and B. Mohammady, Linear quadratic
optimal control system design using particle swarm optimization algorithm,
International Journal of the Physical Sciences Vol. 6(30), pp. 6958 - 6966,
23 November, 2011 DOI: 10.5897/IJPS11.726, ISSN 1992 – 1950, Academic
Journals
35. Ji Chun Xing, Li Zhong Xu, Study on in-Plane Bending Vibration of a
Combined Ring-Beam, Applied Mechanics and Materials (Volumes 117 119) Volume Materials and Computational Mechanics, 319-322 DOI
10.4028/www.scientific.net/AMM.117-119.319, 2011
36. Precup, R-E., Tomescu, M.L., Rădac, M-B., Petriu, E.M., Preitl, S., Dragoş,
C-A., Iterative performance improvement of fuzzy control systems for three
tank systems, Expert Systems with Applications (2012), 39, 9, 8288-8299.
37. S. Mobaieen, B. Mohamady, H. Ghorbani, A. Rabii, Optimal Control Design
Using Evolutionary Algorithms with Application to an Aircraft Landing
System, Journal of Basic and Applied Scientific Research, 2(2)1876-1882,
2012
38. Raju, V., Maheswari, D., Patnaik, S.K., Active vibration control of piezo
actuated cantilever beam using PSO, 2012 IEEE Students' Conference on
Electrical, Electronics and Computer Science: Innovation for Humanity,
SCEECS 2012 , art. no. 6184834
39. Priya, C., Lakshmi, P., Particle swarm optimisation applied to real time control
of spherical tank system, International Journal of Bio-Inspired
Computation 4 (4) , pp. 206-216, 2012
40. Dou, Z., Wang, Y., Wang, J., Gao, C., Harmonic parameters method identified
by rotational invariance and particle swarm optimization, Journal of
Convergence Information Technology 7 (22) , pp. 408-416, 2012
41. I-Tung Yang, Yi-Hung Hsieh, Reliability-based design optimization with
cooperation between support vector machine and particle swarm optimization,
Engineering with Computers (2013) 29:151–163, DOI 10.1007/s00366-0110251-9
42. Hadi, M.S., Mat Darus, I.Z., Yatim, H., Modeling flexible plate structure
system with free-free-clamped-clamped (FFCC) edges using Particle Swarm
Optimization, IEEE Symposium on Computers and Informatics, ISCI
2013 , art. no. 6612372 , pp. 39-44
43. Koofigar, H.R., Amelian, S. , Active vibration suppression in smart structures
subjected to model uncertainties and environmental disturbances: An adaptive
approach, JVC/Journal of Vibration and Control 19 (13) , pp. 2046-2053,
2013
44. Hadi, M.S., Mat Darus, I.Z. , Intelligence swarm model optimization of
flexible plate structure system, International Review of Automatic Control
6 (3) , pp. 322-331, 2013
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
33
45. Hamid Reza Koofigar, Shahab Amelian, ROBUST ADAPTIVE VIBRATION
CONTROL FOR A GENERAL CLASS OF STRUCTURES IN THE
PRESENCE
OF
TIME-VARYING
UNCERTAINTIES
AND
DISTURBANCES, JOURNAL OF THEORETICAL AND APPLIED
MECHANICS, 51, 3, pp. 533-541, Warsaw 2013
46. Jin-Wei Liang, Hung-Yi Chen, and Lung Lin, Feedforward Control for
Piezoelectric Actuator using Inverse Prandtl-Ishlinskii Model and Particle
Swarm Optimization, 2013 CACS International Automatic Control
Conference (CACS) December 2-4, Sun Moon Lake, Taiwan, DOI: 978-14799-2383-0 IEEE
47. S.Q. Zhang, R. Schmidt, Static and dynamic FE analysis of piezoelectric
integrated thin-walled composite structures with large rotations, Composite
Structures 112 (2014) 345–357
48. Lian, J.-W., Chen, H.-Y. Feedforward and feedback control for piezoelectricactuated systems using inverse Prandtl-Ishlinskii model and particle swarm
optimization 2014 International Conference on Advanced Mechatronic
Systems, ICAMechS 6911563, pp. 313-318
49. Nobahari, H., Hosseini Kordkheili, S.A., Afshari, S.S. Hardware-in-the-loop
optimization of an active vibration controller in a flexible beam structure using
evolutionary algorithms 2014 Journal of Intelligent Material Systems and
Structures 25 (10), pp. 1211-1223
The paper ―Fuzzy Control Optimized by a Multi-Objective Particle Swarm
Optimization Algorithm for Vibration Suppression of Smart Structures‖, Structural
and Multidisciplinary Optimization, 43, 29-42, 2011‖ is cited by:
50. B. Liu, Y. Gao, A robust control strategy for a direct drive valve based on
voice coil motor, Mathematical and Computer Modelling (2011),
doi:10.1016/j.mcm.2011.10.032
51. Cheng Cheng · Xiao-Bing Zhang, Interior ballistic charge design based on a
modified particle swarm optimizer, Structural and Multidiscilpinary
Optimization, DOI 10.1007/s00158-012-0768-6, Springer-Verlag 2012
52. Guo, Y., Sun, Z., Multi-objective optimization grasping planning for
multifingered robot hand, Dongnan Daxue Xuebao (Ziran Kexue
Ban)/Journal of Southeast University (Natural Science Edition) 42 (4) , pp.
643-648, 2012
53. Cintra, M.E., Monard, M.C., Camargo, H.A. , On rule learning methods: A
comparative analysis of classic and fuzzy approaches, Studies in Fuzziness
and Soft Computing 291 , pp. 89-104, 2013
54. J.N. Richardson, G. Nordenson, R. Laberenne, R. F. Coelho, S. Adriaenssens
Flexible optimum design of a bracing system for faεade design using
multiobjective Genetic Algorithms, Automation in Construction (2013), 32,
80-87.
55. Zorić, N.D., Simonović, A.M., Mitrović, Z.S., Stupar, S.N., Optimal vibration
control of smart composite beams with optimal size and location of
piezoelectric sensing and actuation, Journal of Intelligent Material Systems
and Structures 24 (4) , pp. 499-526
56. Hurel, J. , Mandow, A. , Garcia-Cerezo, A., Tuning a fuzzy controller by
particle swarm optimization for an active suspension system, IECON 2012 -
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
57.
58.
59.
60.
61.
62.
34
38th Annual Conference on IEEE Industrial Electronics Society, 25-28
Oct. 2012, 2524 – 2529, Montreal, QC
Nemanja D. Zorić, Aleksandar M. Simonović, Zoran S. Mitrović, Slobodan N.
Stupar, Aleksandar M. Obradović, Nebojša S. Lukić, Free vibration control of
smart composite beams using particle swarm optimized self-tuning fuzzy logic
controller, Journal of Sound and Vibration 333 (2014) 5244-5268
Gilberto Reynoso-Meza, Xavier Blasco, Javier Sanchis, Miguel Martínez,
Controller tuning using evolutionary multi-objective optimisation: Current
trends and applications, Control Engineering Practice 28 (2014) 58–73
Mohd Ariffanan Mohd Basri, Abdul Rashid Husain, Kumeresan A.
Danapalasingam, Enhanced Backstepping Controller Design with Application
to Autonomous Quadrotor Unmanned Aerial Vehicle, J Intell Robot Syst
DOI 10.1007/s10846-014-0072-3
Zhang, T., Li, H.G., Cai, G.P., Li, F.C., Experimental verifications of vibration
suppression for a smart cantilever beam with a modified velocity feedback
controller, Shock and Vibration 2014, 172570
Nobahari, H., Hosseini Kordkheili, S.A., Afshari, S.S. Hardware-in-the-loop
optimization of an active vibration controller in a flexible beam structure using
evolutionary algorithms 2014 Journal of Intelligent Material Systems and
Structures 25 (10), pp. 1211-1223
El Sadek, H., Zhang, X., Rashad, M., Cheng, C. Improvement of interior
ballistic performance utilizing particle swarm optimization Mathematical
Problems in Engineering 2014, 156103
The paper ―Honey Bees Mating Optimization Algorithm for the Euclidean Traveling
Salesman Problem‖, Information Sciences, 181, 4684 – 4698, 2011‖ is cited by:
63. J. Zhao, Q. Liu, W. Wang, Z. Wei, P. Shi, A parallel immune algorithm for
traveling salesman problem and its application on cold rolling scheduling,
Information Sciences (2011), 181, 7, 1212-1223.
64. Fei Kang, Junjie Li, Zhenyue Ma, Rosenbrock artificial bee colony algorithm
for accurate global optimization of numerical functions, Information Sciences
181 (2011) 3508–3531
65. Yu-ting Wang, Jun-qing Li, Kai-zhou Gao, Quan-ke Pan, Memetic Algorithm
based on Improved Inver–over operator and Lin–Kernighan local search for
the Euclidean traveling salesman problem, Computers and Mathematics
with Applications, 62, 7, 2743-2754, 2011.
66. Carlos
Eduardo
Klein,
IDENTIFICAÇÃO
NÃO-LINEAR
MULTIVARIÁVEL APLICADA NO AMBIENTE AUTOMOTIVO, MSc
Thesis, Pontifícia Universidade Católica do Paraná, 2011
67. O. Erdinc, M. Uzunoglu, Optimum design of hybrid renewable energy
systems: Overview of different Approaches, Renewable and Sustainable
Energy Reviews 16 (2012) 1412– 1425
68. Gertjan Gaillet, Adaptieve routeplanning voor meerdere heterogene voertuigen
met
vari
erende
randvoorwaarden,
MSc
Thesis,
Faculteit
Ingenieurswetenschappen en Architectuur Vakgroep Informatietechnologie,
University of Gent, Belgium.
69. A. Hatamlou, Black hole: A new heuristic optimization approach for data
clustering, Information Sciences (2013), 222, 175-184
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
35
70. Qinma Kang, Hong He, Rong Deng Bi-objective task assignment in
heterogeneous distributed systems using honeybee mating optimization,
Applied Mathematics and Computation (2012), 219 (5) , pp. 2589-2600
71. Xiao-yu Wen, Xin-yu Li, Liang Gao, Hong-yan Sang, Honey bees mating
optimization algorithm for process planning Problem, Journal of Intelligent
Manufacturing, (2014), 25, 459-472, DOI 10.1007/s10845-012-0696-8,
Springer
72. Andrius Blazinskas and Alfonsas Misevicius, Generating High Quality
Candidate Sets by Tour Merging for the Traveling Salesman Problem, T.
Skersys, R. Butleris, and R. Butkiene (Eds.): ICIST 2012, CCIS 319, pp. 62–
73, 2012, Springer-Verlag Berlin Heidelberg 2012
73. Majid Esmi Jahromi, Mehdi Ehsan, Abbas Fattahi Meyabadi and Taher
Niknam, AN INTERACTIVE FUZZY MULTI-OBJECTIVE APPROACH
FOR SHORT TERM DG PLANNING, International Journal of Innovative
Computing, Information and Control, Volume 8, Number 6, June 2012,
ICIC International 2012 ISSN 1349-4198, pp. 4157-4175
74. Jiang, H., Liu, T., Chen, J., An exact algorithm for TSP based on time-delay
message broadcasting mechanism in cloud computing environment, Advances
in Information Sciences and Service Sciences 4 (20) , pp. 299-308, 2012
75. Montiel, O., Diaz-Delgadillo, F.J., Sepúlveda, R., Combinatorial Complexity
Problem Reduction by the Use of Artificial Vaccines, Expert Systems with
Applications (2013), 40, 1871-1879.
76. Marıa Cristina Riff, Elizabeth Montero, Bertrand Neveu, Reducing Calibration
Effort for Clonal Selection based Algorithms: A Reinforcement Learning
Approach, Knowledge-Based Systems (2013), 41, 54-67
77. Alejandro Alvarado-Iniesta, Jorge L.Garcia-Alcaraz, Manuel Ivan RodriguezBorbon, Aide Maldonado, Optimization of the material flow in a
manufacturing plant by use of artificial bee colony algorithm, Expert Systems
with Applications 40 (2013) 4785–4790
78. Z. Z. Abidin, M. R. Arshad, U. K. Ngah, An introduction to swarming
robotics: application development trends, Artificial Intelligence Review DOI
10.1007/s10462-013-9397-8
79. Qinma Kang & Hong He (2013): Honeybee Mating Optimization Algorithm
For Task Assignment In Heterogeneous Computing Systems, Intelligent
Automation & Soft Computing, 19:1, 69-84
80. Jorge Ivan Pηrez Rave, Gloria Patricia Jaramillo Αlvarez, Relevant literary
space on travelling salesman problem (TSP): contents, classification, methods
and fields of inspiration, Producao, 23 (4) , pp. 866-876, 2013
81. Qinma Kang & Hong He (2013): Task assignment for minimizing application
completion time using honeybee mating optimization, Frontiers of Computer
Science 7 (3) , pp. 404-415
82. Arash Ghorbannia Delavar, Somayyeh Hoseyny, Rouhollah Maghsoudi, BCOBased Optimized Heuristic Strategies for QoS Routing, The Journal of
Mathematics and Computer Science Vol .5 No.2 (2012) 105-114
83. Souza, G.R. ; Goldbarg, E.F.G. ; Goldbarg, M.C. ; Canuto, A.M.P., A
Multiagent Approach for Metaheuristics Hybridization Applied to the
Traveling Salesman Problem 2012 Brazilian Symposium on Neural
Networks (SBRN), 20-25 Oct. 2012, 208 – 213, Curitiba
84. Dhouib Saima, Dhouib Souhail , Chabchoub Habib, Artificial bee colony
metaheuristic to find pareto optimal solutions set for engineering design
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
85.
86.
87.
88.
89.
90.
91.
92.
93.
94.
95.
96.
36
problems, 2013 5th International Conference on Modeling, Simulation and
Applied Optimization (ICMSAO), 28-30 April 2013 , Hammamet, Tunisia,
DOI: 10.1109/ICMSAO.2013.6552685
Dowlatshahi, M.B., Nezamabadi-Pour, H., Mashinchi, M., A discrete
gravitational search algorithm for solving combinatorial optimization
problems, Information Sciences 258 , pp. 94-107, 2014
Dhouib, S., Dhouib, S., Chabchoub, H., Artificial bee colony metaheuristic to
optimize traceability in food industry, 2013 International Conference on
Advanced Logistics and Transport, ICALT 2013 , art. no. 6568495 , pp.
417-420
Feng, X., Ma, M., Yu, H., Lake-energy optimization algorithm for travelling
salesman problem, Jisuanji Yanjiu yu Fazhan/Computer Research and
Development 50 (9) , pp. 2015-2027, 2013
Celik, Y., Ulker, E., An improved marriage in honey bees optimization
algorithm for single objective unconstrained optimization, The Scientific
World Journal 2013 , art. no. 370172
Qinma Kang & Hong He (2013) Honeybee Mating Optimization Algorithm
For Task Assignment In Heterogeneous Computing Systems, Intelligent
Automation
&
Soft
Computing,
19:1,
69-84,
DOI:
10.1080/10798587.2013.771438
M. Fatih Tasgetiren, Ozge Buyukdagli, Damla Kızılay, and Korhan Karabulut,
A Populated Iterated Greedy Algorithm with Inver-Over Operator for
Traveling Salesman Problem, B.K. Panigrahi et al. (Eds.): SEMCCO 2013,
Part I, LNCS 8297, pp. 1–12, 2013. © Springer International Publishing
Switzerland 2013
Chun-Wei Tsai, Wei-Cheng Huang and Ming-Chao Chiang, Recent
Development of Metaheuristics for Clustering, James J. (Jong Hyuk) Park et
al. (eds.), Mobile, Ubiquitous, and Intelligent Computing Lecture Notes in
Electrical Engineering 274, 629 -636, DOI: 10.1007/978-3-642-40675-1_93,
© Springer-Verlag Berlin Heidelberg 2014,
B. Xing and W.-J. Gao, Bee Inspired Algorithms, Chapter 4, Innovative
Computational Intelligence: A Rough Guide to 134 Clever Algorithms ,
Intelligent Systems Reference Library 62, DOI: 10.1007/978-3-319-034041_4, Springer International Publishing Switzerland 2014, 45-80
Dhouib, S., Dhouib, S., Chabchoub, H., Artificial Bee Colony metaheuristic
to optimize Goal Programming Engineering Design Problems 2013
International Conference on Control, Decision and Information
Technologies (CoDIT), 6-8 May 2013, 355 – 358, Hammamet, Tunisia,
DOI: 10.1109/CoDIT.2013.6689570
Hsuan-Ming Feng, Kuo-Lung Liao, Hybrid evolutionary fuzzy learning
scheme in the applications of traveling salesman problems, Information
Sciences 270 (2014) 204–225
Biao Yuan, Chaoyong Zhang, Xinyu Shao, Zhibin Jiang, An effective hybrid
honey bee mating optimization algorithm for balancing mixed-model twosided assembly lines, Computers & Operations Research 53 (2015) 32–
41
Wang Yong, Hybrid Max–Min ant system with four vertices and three lines
inequality for traveling salesman problem, Soft Comput DOI
10.1007/s00500-014-1279-8
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
37
97. N. Larbi, F. Debbat, A. Boudghene Stambouli, Multiuser Detection For DSCDMA Systems Using Honeybees Mating Optimization Algorithm, Arab J
Sci Eng (2014) 39:4911–4921 DOI 10.1007/s13369-014-1198-0
98. Ibrahim, I., Ahmad, H., Ibrahim, Z., Khalil, K., Rahim, M.A.A. Multi-state
particle swarm optimization for discrete combinatorial optimization problem,
2014 International Journal of Simulation: Systems, Science and
Technology 15 (1), pp. 15-25
The paper ―A Hybrid ACO-GRASP Algorithm for Clustering Analysis, Annals of
Operations Research, 188, 343-358, 2011‖ is cited by:
99. H. Brandner, S. Lessmann, S. Vob, A memetic approach to construct
transductive discrete support vector machines, European Journal of
Operational Research (2013), 230(3), 585-591.
The paper ―Discrete Artificial Bee Colony Optimization Algorithm for Financial
Classification Problems‖, International Journal of Applied Metaheuristic Computing,
2, 1, 1-17.‖ is cited by:
100. Shivangi Goyal, The Applications Survey : Bee Colony, IRACST –
Engineering Science and Technology: An International Journal (ESTIJ),
ISSN: 2250-3498, Vol.2, No. 2, April 2012
101. Kamalam Balasubramani, Karnan Marcus, A Comprehensive review of
Artificial Bee Colony Algorithm, International Journal of Computers &
Technology Volume 5, No. 1, May -June, 2013, ISSN 2277-3061
The paper ―Particle Swarm Optimization for Optimal Product Line Design‖,
International Journal of Research in Marketing, 28, 13-22, 2011.‖ is cited by:
102. Chih-Chieh Yang, (2011) Constructing a Hybrid Kansei Engineering System
Based on Multiple Affective Responses: Application to Product Form Design,
Computers & Industrial Engineering, 60, 4, 760-768, (2011).
103. Michalek, J.J., Ebbes, P., Adiguzel, F., Feinberg, F.M. Papalambros, P.Y.,
Enhancing marketing with engineering: Optimal product line design for
heterogeneous markets, International Journal of Research in Marketing
(2011), 28, 1, 1-12.
104. Hauser, J.R., New Developments in Product-Line Optimization, International
Journal of Research in Marketing (2011), 28, 1, 26-27.
105. Roberts, J.H., A conceptual framework for studying the interaction of demand,
supply and the market environment in product line optimization,
International Journal of Research in Marketing (2011), 28, 1, 23-25.
106. Liberali, G., Product line design optimization, International Journal of
Research in Marketing (2011), 28, 1, 28-29.
107. Lacourbe, P., A Model of Product Line Design and Introduction Sequence
with Reservation Utility, European Journal of Operational Research
(2012), 220, 2, 338-348.
108. Müller, Johannes Wertbasierte Portfolio-Optimierung bei SoftwareProduktlinien – Modell, Vorgehen, Umsetzung Universität Leipzig, Doctor
rerum politicarum Dissertation, 2012
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
38
109. Kosmadoudi Z, Lim T, Ritchie J, Louchart S, Liu Y, Sung R. Engineering
design using game-enhanced CAD: The potential to augment the user
experience with game elements. Computer-Aided Design (2012),
doi:10.1016/j.cad.2012.08.001
110. Thelma Elita Colanzi, Search Based Design of Software Product Lines
Architectures, ICSE 2012, Zurich, Switzerland Doctoral Symposium, 978-14673-1067-3/12/$31.00c 2012 IEEE, 1507-1510
111. Liu, Y., Wang, H., Ji, Y., Liu, Z., Zhao, X., Land use zoning at the county
level based on a multi-objective particle swarm optimization algorithm: A case
study from Yicheng, China, International Journal of Environmental
Research and Public Health 9 (8) , pp. 2801-2826, 2012
112. Tsafarakis, S., Saridakis, C., Baltas, C., Matsatsinis, N., Hybrid particle swarm
optimization with mutation for optimizing industrial product lines: An
application to a mixed solution space considering both discrete and continuous
variables,
Industrial
Marketing
Management
(2013),
http://dx.doi.org/10.1016/j.indmarman.2013.03.002
113. Hadjinicola, G.C., Charalambous, C., Muller, E., Product positioning using a
self-organizing map and the rings of influence, Decision Sciences 44 (3) , pp.
431-461, 2013
114. Aaron Don M. Africa, A Computer Store Optimization Model using Particle
Swarm Optimization and Simulated Annealing, Journal of Automation and
Control Engineering Vol. 2, No. 1, March 2014, 20-25
115. Voulgari, S., Tsafarakis, S., Grigoroudis, E., Matsatsinis, N., Consumeroriented new product development: A review of recent developments,
International Journal of Information and Decision Sciences 5 (4), pp. 364392
116. Kim, S.T., Hong, S.R., Kim, C.O. Product attribute design using an agentbased simulation of an artificial market, 2014 International Journal of
Simulation Modelling 13 (3), pp. 288-299
The paper ―Fuzzy Control optimized by PSO for vibration suppression of beams‖,
Control Engineering and Practice, 18, 618-629, 2010‖ is cited by:
117. R. E. Precup, H. Hellendoorn, A survey on industrial applications of fuzzy
control, Computers in Industry (2011), 62, 3, 213-226.
118. Adaptive control and signal processing literature survey (No. 20).
International Journal of Adaptive Control and Signal Processing 2010;
24:921–926
Published
online
in
Wiley
Online
Library
(wileyonlinelibrary.com). DOI: 10.1002/acs.1211
119. LI DongXu, LIU Wang, JIANG JianPing & XU Rui, Placement optimization
of actuator and sensor and decentralized adaptive fuzzy vibration control for
large space intelligent truss structure SCIENCE CHINA Technological
Sciences, April 2011 Vol.54 No.4: 853–861 doi: 10.1007/s11431-011-4333-0
120. Rui Xu, Dong Xu Li, Jian Ping Jiang, Fuzzy Vibration Control of Flexible
Solar Panel Using Piezoelectric Stack Journal Applied Mechanics and
Materials, Vol. 50-51, p. 214-218 DOI 10.4028/www.scientific.net/AMM.5051.214, February, 2011
121. Ahmed, B.S., Zamli, K.Z., A Variable Strength Interaction Test Suites
Generation Strategy Using Particle Swarm Optimization, The Journal of
Systems and Software (2011), 84 (12), 2171-2185.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
39
122. Ioannis Papachristou, Salonikos Salonikidis, Georgios K. Tairidis and
Georgios E. Stavroulakis, ADAPTIVE FUZZY CONTROL OF SMART
STRUCTURES – ANFIS, 7th GRACM International Congress on
Computational Mechanics Athens, 30 June – 2 July 2011
123. Xiaojin Zhu, Zhiyuan Gao, Quanzhen Huang, Shouwei Gao and Enyu Jiang,
Analysis and implementation of MIMO FULMS algorithm for active vibration
control, Transactions of the Institute of Measurement and Control, DOI:
10.1177/0142331211415896
124. Hua Wang, Xian-Hai Shen, Liang-Xu Zhang and Xiao-Jin Zhu, Active
vibration suppression of flexible structure using a LMI-based control patch,
Journal of Vibration and Control published online 5 October 2011, DOI:
10.1177/1077546311415303
125. Chamil Abeykoon, Kang Li, Marion McAfee, Peter J. Martin, Qun Niu,
Adrian L. Kelly, Jing Deng, A new model based approach for the prediction
and optimization of thermal homogeneity in single screw extrusion, Control
Engineering Practice, 19 (2011) 862–874
126. Dongxu X. Li, Rui Xu, and Jiangjian P. Jiang, Experiment Study on Fuzzy
Vibration Control of Solar Panel, J. N´aprstek et al. (eds.), Vibration
Problems ICOVP 2011: The 10th International Conference on Vibration
Problems, Springer Proceedings in Physics 139, DOI 10.1007/978-94-0072069-5 55, © Springer ScienceCBusiness Media B.V. 2011
127. Bestoun Ahmet and Kamal Zamli, A Greedy Particle Swarm Optimization
Strategy for T-way Software Testing, Journal of Artificial Intelligence,
2012, ISSN 1994-5450, DOI: 10.3923/jai.2012
128. Zhiwen Liu, Hongrui Cao, Xuefeng Chen, Zhengjia He, Zhongjie Shen, Multifault classification based on wavelet SVM with PSO algorithm to analyze
vibration signals from rolling element bearings, Neurocomputing (2013), 99,
399-410
129. Zhongyang Han, Ying Liu, Jun Zhao, Wei Wang Real time prediction for
converter gas tank levels based on multi-output least square support vector
regressor. Control Engineering Practice (2012), 20(12), 1400-1409
130. Nuapett Sarasiri, Kittiwong Suthamno and Sarawut Sujitjorn, Bacterial
Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction
Model, Journal of Applied Mathematics, Hindawi Publishing Corporation,
2012, Volume 2012, Article ID 238563, 23 pages, doi:10.1155/2012/238563
131. Lu, P., Chen, S., Zheng, Y. , Artificial intelligence in civil engineering,
Mathematical Problems in Engineering 2012 , art. no. 145974, 2012
132. Gilberto Reynoso-Meza, Sergio García-Nieto, Javier Sanchis, and F. Xavier
Blasco, Controller Tuning by Means of Multi-Objective Optimization
Algorithms: A Global Tuning Framework, IEEE TRANSACTIONS ON
CONTROL SYSTEMS TECHNOLOGY, Digital Object Identifier
10.1109/TCST.2012.2185698, 21(2), 445-458
133. Aliki D. Muradova , Georgios E. Stavroulakis, Fuzzy Vibration Control of a
Smart Plate, International Journal for Computational Methods in
Engineering Science and Mechanics, Volume 14, Issue 3, 2013, 221-230
134. Migue Angel Olivares Mendez, Soft-Computing Based Visual Control for
Unmanned Vehicles, Ph.D. Thesis, Universidad Politecnica de Madrid,
Escuela Tecnica Superior De Ingenieros Industriales Doctorado en Automatica
Robotica, 2013
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
40
135. Nemanja Zorić, Aleksandar Simonović, Zoran Mitrović, Slobodan Stupa,
ACTIVE VIBRATION CONTROL OF SMART COMPOSITE BEAMS
USING PSO-OPTIMIZED SELF-TUNING FUZZY LOGIC CONTROLLER,
JOURNAL OF THEORETICAL AND APPLIED MECHANICS, 51, 2,
pp. 275-286, Warsaw 2013
136. Jena, P.K., Thatoi, D.N., Parhi, D.R. , Differential evolution: An inverse
approach for crack detection, Advances in Acoustics and Vibration , art. no.
321931, 2013
137. Hadi Nobahari, Seyed A Hosseini Kordkheili, Sajad Saraygord Afshari,
Hardware-in-the-loop optimization of an active vibration controller in a
flexible beam structure using evolutionary algorithms, Journal of Intelligent
Material Systems and Structures, 2013, doi: 10.1177/1045389X13502874
138. Nemanja D. Zorić, Aleksandar M. Simonović, Zoran S. Mitrović, Slobodan N.
Stupar, Aleksandar M. Obradović, Nebojša S. Lukić, Free vibration control of
smart composite beams using particle swarm optimized self-tuning fuzzy logic
controller, Journal of Sound and Vibration 333 (2014) 5244-5268
139. Saeid Aghajanian, Hadi Baghi, Fereidoun Amini, and Masoud Zabihi Samani,
Optimal Control of Steel Structures by Improved Particle Swarm, International
Journal of Steel Structures June 2014, Vol 14, No 2, 223-230 DOI
10.1007/s13296-014-2003-3
140. Muresan, C.I., Prodan, O. Vibration suppression in smart structures using
fractional order PD controllers Proceedings of 2014 IEEE International
Conference on Automation, Quality and Testing, Robotics, AQTR 2014
6857907
141. Thatoi, D.N., Choudhury, S., Jena, P.K., Das, H.C., Subudhi, A.K.
Identification of transverse crack in beam like structure using PSO, Applied
Mechanics and Materials 548-549, pp. 1728-1734, 2014.
142. Hu, Y.-J., Wang, Y., Wang, Z.-L., Wang, Y.-Q., Zhang, B.-C. Machining
scheme selection based on a new discrete particle swarm optimization and
analytic hierarchy process Artificial Intelligence for Engineering Design,
Analysis and Manufacturing: AIEDAM 28 (1), pp. 71-82, 2014
The paper ―A Hybrid Particle Swarm Optimization Algorithm for the Vehicle Routing
Problem‖, Engineering Applications of Artificial Intelligence, 23, 463-472, 2010‖ is
cited by:
143. Xinchao Zhao, Guoli Liu, Huqiu Liu, Guoshuai Zhao, Shaozhang Niu, A New
Clonal Selection Immune Algorithm with Perturbation Guiding Search and
Nonuniform Hypermutation, International Journal of Computational
Intelligence Systems, Suppl. 1 (December, 2010).
144. Patrick Schittekat, Metaheuristics for Planning in Logistics from Theory to
Industrial Applications, Phd Thesis, University of Antwerp
145. X. Geng, Z. Chen, W. Yang, D. Shi, K. Zhao, Solving the traveling salesman
problem based on an adaptive simulated annealing algorithm with greedy
search, Applied Soft Computing Journal (2011), 11, 4, 3680-3689.
146. ZHANG Huiyan, CUI Meiluan, XUE Hong, Research Progress on Control
Theory Application to Supply Chain Management Proceedings of the 30th
Chinese Control Conference, July 22-24, 2011, Yantai, China, 5794-5799.
147. Wu Junqiang, Ouyang Aijia, A Hybrid Algorithm of ACO and Delete-Cross
Method for TSP, 2011 International Conference on Network Engineering
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
148.
149.
150.
151.
152.
153.
154.
155.
156.
157.
158.
159.
160.
41
and Computer Science (ICNECS 2011), Xian, China September 23 - 25,
2011
Bouallegue, S., Haggege, J., Ayadi, M., Benrejeb, M., PID-type fuzzy logic
controller tuning based on particle swarm optimization. Engineering
Applications of Artificial Intelligence (2012), 25, 3, 484-493.
Su, S., Yu, S., Ma, Y., Yang, Y., Xu, H., Routing on a spherical surface using
hybrid PSO, Communications in Computer and Information Science 237
CCIS, 2011, pp. 43-51, © Springer-Verlag Berlin Heidelberg 2011
Sonda Hbaieb, Souhail Dhouib, and Habib Chabchoub, A Decision Support
System Based on Metaheuristic Model for Aircrafts Landing Problems, R.
Meersman, T. Dillon, and P. Herrero (Eds.): OTM 2011 Workshops, LNCS
7046, pp. 571–580, 2011. © Springer-Verlag Berlin Heidelberg 2011
Li Li, Yurong Cheng, Lijing Tan, and Ben Niu, A Discrete Artificial Bee
Colony Algorithm for TSP Problem, D.-S. Huang et al. (Eds.): ICIC 2011,
LNBI 6840, pp. 566–573, 2012. © Springer-Verlag Berlin Heidelberg.
Dong Zhang, Lei Jia, Wen Xing Zhu, A Review of some Intelligent
Optimization Algorithms Applied to Intelligent Transportation System,
Advanced Materials Research (Volumes 383 - 390) Volume Manufacturing
Science
and
Technology,
5717-5723
DOI
10.4028/www.scientific.net/AMR.383-390.5717
Peitsang Wu, Yung-Yao Hung and Han-Chieh Chiang,
A Hybrid
Electromagnetism-like Mechanism: A Metaheuristic Algorithm for Solving
the Travelling Salesman Problem, International Journal of Operations
Research Vol. 9, No. 1, 53−65 (2012)
Liu, T., Xu, W., Wu, Q., Modeling of multi-vehicle route searching with soft
time windows under sudden-onset disaster, Tongji Daxue Xuebao/Journal of
Tongji University 40 (1) , pp. 109-115
Yucheng Kao, Ming-Hsien Chen, and Yi-Ting Huang, A Hybrid Algorithm
Based on ACO and PSO for Capacitated Vehicle Routing Problems, Hindawi
Publishing Corporation Mathematical Problems in Engineering Volume
2012, Article ID 726564, 17 pages doi:10.1155/2012/726564
Yin, Z., Yuanfu, L.I., Yang, Z. Temperature prediction for massive concrete
in bridge structure based on PSO and RVM, Information 15 (10) , pp. 43214328, 2012
Wu, H.-T., Zhang, G.-J., Hong, Z., Yu, L. , Evolutionary tree road network
topology building and the application of multi-stops path optimization,
Jisuanji Xuebao/Chinese Journal of Computers 35 (5) , pp. 964-971, 2012
Kao, Y., Chen, M., A hybrid PSO algorithm for the CVRP problem, ECTA
2011 FCTA 2011 - Proceedings of the International Conference on
Evolutionary Computation Theory and Applications and International
Conference on Fuzzy Computation Theory and Applications , pp. 539-543,
2011
Yu Li, Liang Ma, A Hybrid Ant Algorithm for the Vehicle Routing Problem,
Applied Mechanics and Materials, 182-183, 2012, 2118-2122,
10.4028/www.scientific.net/AMM.
Wu Deng, Rong Chen, Bing He, Yaqing Liu, Lifeng Yin, Jinghuan Guo, A
novel two-stage hybrid swarm intelligence optimization algorithm and
application, Soft Computing, 16(10), 1707-1722, Springer, 2012
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
42
161. Siamak Noori, S. Farid Ghannadpour, High-Level Relay Hybrid Metaheuristic
Method for Multi-Depot Vehicle Routing Problem with Time Windows,
Journal of Mathematical Modelling Algorithms, 11(2), 159-179, 2012.
162. Baños, R., Ortega, J., Gil, C., Fernández, A., de Toro, F., A Simulated
Annealing-based Parallel Multi-objective approach to Vehicle Routing
Problems with Time Windows, Expert Systems with Applications (2013),
40, 1696-1707
163. Qiang, X.-J., Ju-Hua, H., Qun, L., Simulation analysis of controlling buffeting
noise based on hybrid particle swarm algorithm, Journal of Convergence
Information Technology 7 (23) , pp. 753-761, 2012
164. Wu, J., Ouyang, A. , A hybrid algorithm of ACO and delete-cross method for
TSP, Proceedings of the 2012 International Conference on Industrial
Control and Electronics Engineering, ICICEE 2012 , art. no. 6322738 , pp.
1694-1696
165. Amoozegar, M., Nezamabadi-Pour, H. , Software performance optimization
based on constrained GSA, AISP 2012 - 16th CSI International Symposium
on Artificial Intelligence and Signal Processing , art. no. 6313732 , pp. 134139
166. Shang, Y.-Q., Xu, W., Gu, X.-S., Particle swarm optimization with precrossover and its application in soft-sensor of C 3 concentration of FCCU,
Tien Tzu Hsueh Pao/Acta Electronica Sinica 40 (9) , pp. 1885-1888, 2012
167. Gulcin Dinc Yalcin and Nihal Erginel, A Heuristic Based on Integer
Programming for the Vehicle Routing Problem with Backhauls, Proceedings
of the 2012 International Conference on Industrial Engineering and
Operations Management Istanbul, Turkey, July 3 – 6, 2012
168. Xuesong Yan, Can Zhang , Wenjing Luo, Wei Li, Wei Chen and Hanmin Liu,
Solve Traveling Salesman Problem Using Particle Swarm Optimization
Algorithm, IJCSI International Journal of Computer Science Issues, Vol.
9, Issue 6, No 2, November 2012 ISSN (Online): 1694-0814, 264-271
169. SU Shoubao and CAO Xibin, Jumping PSO with Expanding Neighborhood
Search for TSP on a Cuboid, Chinese Journal of Electronics, Vol.22, No.1,
Jan. 2013, 202-208
170. Goksal, F. P., Karaoglan, I, Altiparmak, F.. A hybrid discrete particle swarm
optimization for vehicle routing problem with simultaneous pickup and
delivery. Computers & Industrial Engineering (2013), 65, 39-53
171. Ma Han-Wu, Xu Sen, Zhu Wei, Research on Large Scale Vehicle Routing
with handling frequency, Application Research of Computers, 28, 8 Aug,.
2011
172. Fu-Qiang Lu, Min Huang, Wai-Ki Ching, Tak Kuen Siu, Credit portfolio
management using two-level particle swarm optimization, Information
Sciences 237 (2013) 162–175
173. Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute
vehicle routing problems: A survey and synthesis, European Journal of
Operational Research (2013), 231, 1-21
174. Yucheng Kao and Mei Chen, Solving the CVRP Problem Using a Hybrid PSO
Approach, K. Madani et al. (Eds.): Computational Intelligence, SCI 465, pp.
59–67. DOI: 10.1007/978-3-642-35638-4_5 © Springer-Verlag Berlin
Heidelberg 2013
175. A. A. Abdelhalim and A. B. Eltawil, Recent Heuristics and Algorithms for
Solving the Vehicle Routing Problems, Chapter 114, E. Qi et al. (eds.),
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
176.
177.
178.
179.
180.
181.
182.
183.
184.
185.
186.
187.
188.
43
International Asia Conference on Industrial Engineering and
Management Innovation (IEMI2012) Proceedings, DOI: 10.1007/978-3642-38445-5_114, _ Springer-Verlag Berlin Heidelberg 2013, 1103-1112
Lu, F.-Q., Huang, M., Ching, W.-K., Siu, T.K. , Credit portfolio management
using two-level particle swarm optimization, Information Sciences 237 , pp.
162-175
Thibaut VIDAL, Approches generales de resolution pour les problems multiattributs de tournees de vehicules et confection d'horaires, Universite de
Montreal & Universite de Technologie de Troyes, These presentee en vue de
l'obtention du grade de Philosophi Doctor (Ph.D.) en Informatique, 2013
Chen, T., Zhou, G., Vehicle routing optimization problem with time-windows
and its solution by genetic algorithm, Journal of Digital Information
Management 11 (2) , pp. 136-145
Manuel Lozano, Fred Glover, Carlos García-Martínez, Francisco Javier
Rodríguez & Rafael Martí, Tabu Search with Strategic Oscillation for the
Quadratic Minimum Spanning Tree, IIE Transactions, 2013,
DOI:10.1080/0740817X.2013.768785
ZHU Hao-dong LI Hong-chan, New Adaptive Immune Quantum-Behaved
Particle Swarm Optimization Algorithm, MICROELECTRONICS &
COMPUTER, 2011, 28(3).
Saoussen Krichen and Sami Faiz, Geographical Information Systems and
Spatial Optimization, CRC Press 2012, Print ISBN: 978-1-4665-7747-3,
eBook ISBN: 978-1-4665-7748-0
Anupam Biswas, K. K. Mishra, Shailesh Tiwari, and A. K. Misra, PhysicsInspired Optimization Algorithms: A Survey, Journal of Optimization
Volume
2013
(2013),
Article
ID
438152,
16
pages
http://dx.doi.org/10.1155/2013/438152
Liang, Xiaolei, Li, Wenfeng, Zhang, Yu, Zhong, Ye, Recent advances in
particle swarm optimization via population structuring and individual behavior
control, 2013 10th IEEE International Conference on Networking, Sensing
and Control (ICNSC), 10-12 April 2013 , 503 – 508, Evry, France, DOI:
10.1109/ICNSC.2013.6548790
Yi-Ting Huang, A Hybrid ACO Algorithm for Capacitated Vehicle Routing
Problems, Master's Thesis, Tatung University, China, 2011.
SHI Guo-hong ZHANG Qing-wen XU Sen, Research on optimization of
vehicle routing problem of Regional E-retailer, SCIENCE-TECHNOLOGY
AND
MANAGEMENT,
2011, 13(2),
doi：10.3969/j.issn.10087133.2011.02.020
Tu, W., Fang, Z., Li, Q., Shaw, S.-L., Chen, B., A bi-level Voronoi diagrambased metaheuristic for a large-scale multi-depot vehicle routing problem,
Transportation Research Part E: Logistics and Transportation Review
61, pp. 84-97, 2014.
Lim, W.H., Isa, N.A.M. , Particle swarm optimization with increasing
topology connectivity, Engineering Applications of Artificial Intelligence
27 , pp. 80-102, 2014.
Soleimanpour, M., Nezamabadi-pour, H., A modified monkey algorithm for
real-parameter optimization, Journal of Multiple-Valued Logic and Soft
Computing 21 (5-6) , pp. 453-477, 2013.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
44
189. Zou, S., Li, J., Li, X., A hybrid particle swarm optimization algorithm for
multi-objective pickup and delivery problem with time windows, Journal of
Computers (Finland) 8 (10) , pp. 2583-2589, 2013.
190. Khajeh, A., Modarress, H., Zeinoddini-Meymand, H., Modified particle
swarm optimization method for variable selection in QSAR/QSPR studies,
Structural Chemistry 24 (5) , pp. 1401-1409, 2013.
191. Ozsoydan, F.B., Sipahioglu, A., Heuristic solution approaches for the
cumulative capacitated vehicle routing problem, Optimization 62 (10) , pp.
1321-1340, 2013
192. Gopalakrishnan, K., Particle Swarm Optimization in Civil Infrastructure
Systems: State-of-the-Art Review (Chapter B), Metaheuristic Applications
in Structures and Infrastructures, 2013
193. M. Soleimanpour-Moghadam, H. Nezamabadi-pour, M.M. Farsangi, A
quantum inspired gravitational search algorithm for numerical function
optimization, Information Sciences (2014), 267, 83-100, doi:
http://dx.doi.org/10.1016/j.ins.2013.09.006, 267, 83-100
194. Ligang Cui, LinWang, Jie Deng, and Jinlong Zhang, A New Improved
Quantum Evolution Algorithm with Local Search Procedure for Capacitated
Vehicle Routing Problem, Hindawi Publishing Corporation Mathematical
Problems in Engineering Volume 2013, Article ID 159495, 17 pages
http://dx.doi.org/10.1155/2013/159495
195. Antonio Polimeni & Antonino Vitetta, Vehicle routing in urban areas: an
optimal approach with cost function calibration, Transportmetrica B:
Transport Dynamics, DOI: 10.1080/23249935.2013.826747
196. Huafen Yang, You Yang, Dejian Kong, Dechun Dong, Zuyuan Yang, Lihui
Zhang, An Improved Particle Swarm Optimization Algorithm, 2013 Ninth
International Conference on Natural Computation (ICNC), 23-25 July
2013, 407-411, IEEE, DOI: 10.1109/ICNC.2013.6818010
197. N. Norouzi, M. Sadegh-Amalnick, M. Alinaghian, Measuring and evaluating
of the particle swarm optimization in a periodic vehicle routing problem,
Measurement
(2014),
doi:
http://dx.doi.org/10.1016/
j.measurement.2014.10.024
198. Le Hoang Son, Optimizing Municipal Solid Waste collection using Chaotic
Particle Swarm Optimization in GIS based environments: A case study at
Danang city, Vietnam, Expert Systems with Applications 41 (2014) 8062–
8074
199. Wasim A. Hussein, Shahnorbanun Sahran, Siti Norul Huda Sheikh Abdullah,
Patch-Levy-based initialization algorithm for Bees Algorithm, Applied Soft
Computing 23 (2014) 104–121
200. Qi, C., Li, P., An exponential entropy-based hybrid ant colony algorithm for
vehicle routing optimization, Applied Mathematics and Information
Sciences 8 (6), pp. 3167-3173, 2014
The paper ―Contribution for optimal sizing of grid-connected PV-systems using PSO,
Renewable Energy, 35, 1333-1341‖ is cited by:
201. N. Phuangpornpitak, W. Prommee, S.Tia and W. Phuangpornpitak, A Study of
Particle Swarm Technique for Renewable Energy Power Systems, PEA-AIT
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
202.
203.
204.
205.
206.
207.
208.
209.
210.
211.
212.
213.
214.
215.
216.
45
International Conference on Energy and Sustainable Development: Issues
and Strategies (ESD 2010), Chiang Mai, Thailand. 2-4 June 2010.
Aris Kornelakis, Multiobjective Particle Swarm Optimization for the optimal
design of photovoltaic grid-connected systems, Solar Energy 84 (2010)
2022–2033
R. Banos, F.Manzano-Agugliaro, F.G.Montoya, C.Gil, A.Alcayde, J.Gómez,
Optimization methods applied to renewable and sustainable energy: A review,
Renewable and Sustainable Energy Reviews 15 (2011) 1753–1766
Demetrios P. Papadopoulos, Christos D. Karathodoros and Panagiotis A.
Katsigiannis, Extended Design Investigation Based on Techno-Economic and
Environmental Considerations of a Grid Connected PV System: Application to
a 100 kWp PV System Installed in Eastern Macedonia Region of Greece, The
Open Renewable Energy Journal, 2011, 4, 60-71
Raphael Nunes Freire, Análise de viabilidade de Projectos de minigeração
Fotovoltaica, Faculdade de Engenharia da Universidade do Porto, MSc
Thesis, June 2011
Sulaiman, S.I., Rahman, T.K.A., Musirin, I. Multi-objective evolutionary
programming for optimal grid-connected photovoltaic system design
International Review of Electrical Engineering 5 (6), pp. 2936-2944, 2010
Omar Hafez, Some Aspects of Microgrid Planning and Optimal Distribution
Operation in the Presence of Electric Vehicles, MSc Thesis, Waterloo,
Ontario, Canada, 2011
Daniel Gomez-Lorente, Isaac Triguero, Consolacion Gil, A. Espin Estrell.
Evolutionary algorithms for the design of grid-connected PV-systems. Expert
Systems with Applications (2012), 39, 9, 8086-8094.
Hafez O, Bhattacharya K, Optimal planning and design of a renewable energy
based supply system for microgrids, Renewable Energy (2012), 45, 7-15
Hassanzadehfard, H., Moghaddas-Tafreshi, S.M., Hakimi, S.M., Optimal
sizing of a reliable grid connected micro-grid considering uncertainty and
interruptible loads, International Review on Modelling and Simulations 4
(3) , pp. 1216-1225
Sulaiman, S.I., Rahman, T.K.A., Musirin, I. Shaari, S., Sopian, K., An
intelligent method for sizing optimization in grid-connected photovoltaic
system. Solar Energy (2012), 86, 7, 2067-2082
Ng, S.K.K., Zhong, J., Cheng, J.W.M. , Probabilistic optimal sizing of standalone PV systems with modeling of variable solar radiation and load demand,
IEEE Power and Energy Society General Meeting , art. no. 6344878, 2012
Zheng, Y.-J., Chen, S.-Y., Lin, Y., Wang, W.-L., Bio-inspired optimization of
sustainable energy systems: A review, Mathematical Problems in
Engineering 2013 , art. no. 354523
Hussain, T.N., Sulaiman, S.I., Musirin, I., Shaari, S., Zainuddin, H. , A hybrid
artificial neural network for grid-connected photovoltaic system output
prediction, IEEE Symposium on Computers and Informatics, ISCI 2013 ,
art. no. 6612385 , pp. 108-111
Mikati, M., Santos, M., Knowledge-Based Decision System for Sizing GridConnected Photovoltaic Arrays, Advances in Intelligent Systems and
Computing 214 , pp. 463-472 , 2014
Perez-Gallardo, J.R., Azzaro-Pantel, C., Astier, S., Domenech, S., AguilarLasserre, A. , Ecodesign of photovoltaic grid-connected systems, Renewable
Energy 64 , pp. 82-97, 2014
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
46
217. Shahril Irwan Sulaiman, Zulkifli Othman, Titik Khawa Abdul Rahman,
Dimensioning of Photovoltaic Array Using Genetic Algorithm, 2012
International Symposium on Computer Applications and Industrial
Electronics (ISCAIE 2012), December 3-4, 2012, Kota Kinabalu Malaysia
218. Perez-Gallardo, J.R. Ecodesign of large-scale photovoltaic (PV) systems with
multi-objective optimization and Life-Cycle Assessment (LCA). PhD, Institut
National Polytechnique de Toulouse, 2013
219. V.Raviprasad, Dr. Ravindra Kumar Singh Optimal sizing of PV array for
critical load with parallel redundant architecture using GA, 2014 First
International Conference on Automation, Control, Energy and Systems
(ACES), 1-2 Feb. 2014, Hooghy, DOI: 10.1109/ACES.2014.6807976
220. Daniel Gomez-Lorente, Isaac Triguero, Consolaciζn Gil, O. Rabaza, Multiobjective evolutionary algorithms for the design of grid-connected solar
tracking systems, Electrical Power and Energy Systems 61 (2014) 371–379
221. Reza Bakhshi, Javad Sadeh, Hamid-Reza Mosaddegh, Optimal economic
designing of grid-connected photovoltaic systems with multiple inverters
using linear and nonlinear module models based on Genetic Algorithm,
Renewable Energy 72 (2014) 386e394
The paper ―Honey Bees Mating Optimization Algorithm for Financial Classification
Problems, Applied Soft Computing, 10, 806-812‖ is cited by:
222. Dragan Simić, Vladeta Gajić, and Svetlana Simić, An Approach of Bioinspired Hybrid Model for Financial Markets, M. Graña Romay et al. (Eds.):
HAIS 2010, Part I, LNAI 6076, pp. 205–212, 2010. © Springer-Verlag
Berlin Heidelberg 2010
223. Renato D. Maia, Leandro N. De Castro, Walmir M. Caminhas, Colonias de
Abelhas Comomodelo para Otimizacao Multimodal Continua: Uma Proposta
E Analise Parametrica Qualitativa, XVIII Congresso Brasileiro de
Automática / 12 a 16-setembro-2010, Bonito-MS
224. S. Garcia, J. Derrac, J. Luengo, C. Carmona, F. Herrera,Evolutionary
Selection of Hyperrectangles in Nested Generalized Exemplar Learning,
Applied Soft Computing Journal (2011), 11, 3032-3045
225. Chau Minh Ky, A Fuzzy MCDM method to select the best company based on
Financial Report Analysis, MSc Thesis, National University of Tainan,
January 2011
226. Yorgos Goletsis, Themis P. Exarchos and Christos D. Katsis, Bio-inspired
intelligence for credit scoring, International Journal of Financial Markets and
Derivatives, Volume 2, Number 1-2 / 2011, 32 - 49
227. M. Ma, J. Liang, M. Guo, Y. Fan, Y. Yin, SAR image segmentation based on
Artificial Bee Colony algorithm, Applied Soft Computing Journal (2011),
11, 8, 5205-5214.
228. Ekrem Duman, Mitat Uysal, and Ali Fuat Alkaya, Migrating Birds
Optimization: A New Meta-heuristic Approach and Its Application to the
Quadratic Assignment Problem, C. Di Chio et al. (Eds.): EvoApplications
2011, Part I, LNCS 6624, pp. 254–263, 2011. Springer-Verlag Berlin
Heidelberg 2011
229. Junqing Li, Quanke Pan, Shengxian Xie, Flexible Job Shop Scheduling
Problems By A Hybrid Artificial Bee Colony Algorithm, 2011 IEEE
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
230.
231.
232.
233.
234.
235.
236.
237.
238.
239.
240.
241.
47
Congress on Evolutionary Computation, 5-8 June 2011, New Orleans USA,
DOI:10.1109/CEC.2011.5949601
Bin, W., Qinke, P., Jing, Z., Xiao, C., A Binary Particle Swarm Optimization
Algorithm Inspired by Multi-level Organizational Learning Behavior,
European Journal of Operational Research (2012), 219, 2, 224-233.
O. Erdinc, M. Uzunoglu, Optimum design of hybrid renewable energy
systems: Overview of different Approaches, Renewable and Sustainable
Energy Reviews 16 (2012) 1412– 1425
Xiao-yu Wen, Xin-yu Li, Liang Gao, Hong-yan Sang, Honey bees mating
optimization algorithm for process planning Problem, Journal of Intelligent
Manufacturing, (2014), 25, 459-472, DOI 10.1007/s10845-012-0696-8,
Springer
E. Duman, M. Uysal, A.F. Alkaya, Migrating Birds Optimization: A new
metaheuristic approach and its application to the quadratic assignment
problem, Information Sciences (2012), 217, 65-77
Maia, R.D., De Castro, L.N., Caminhas, W.M., Bee colonies as model for
multimodal continuous optimization: The OptBees algorithm, 2012 IEEE
Congress on Evolutionary Computation, CEC 2012 , art. no. 6252975
Zhang Chao-qun, Zheng Jian-guo, Wang Xiang, Overview of research on bee
colony algorithms, Application Research of Computers, 28, 9, Sep. 2011
Wei, B., Peng, Q., Chen, X., Zhao, J. , An improved particle swarm
optimization based on wolves' activities circle, Proceedings of the World
Congress on Intelligent Control and Automation (WCICA), art. no.
6359342 , pp. 4557-4562
Maia, R.D., de Castro, L.N., Caminhas, W.M., Collective decision-making by
bee colonies as model for optimization - the OptBees algorithm, Applied
Mathematical Sciences 7 (85-88) , pp. 4327-4351, 2013
Hendrawan, Y., Murase, H. , Intelligent micro-precision irrigation system for
cultured moss mat production in plant factory, Acta Horticulturae 1011 , pp.
465-472, 2013
Chui-Yu Chiu, Pei-Ting Huang, Application of the Honeybee Mating
Optimization Algorithm to Patent Document Classification in Combination
with the Support Vector Machine, International Journal of Automation and
Smart Technology, 3 (3), 2013, 179-191
Biao Yuan, Chaoyong Zhang, Xinyu Shao, Zhibin Jiang, An effective hybrid
honey bee mating optimization algorithm for balancing mixed-model twosided assembly lines, Computers & Operations Research 53 (2015) 32–41
Fateen, S.-E.K., Bonilla-Petriciolet, A. Intelligent firefly algorithm for global
optimization, Studies in Computational Intelligence, 516, pp. 315-330, 2014
The paper ―A Hybrid Genetic - Particle Swarm Optimization Algorithm for the
Vehicle Routing Problem, Expert Systems with Applications, 37, 1446-1455, 2010‖ is
cited by:
242. G. Weichart, Ants Swarms and Bees, Communication Enginnering Seminar,
29 November 2009, Germany
243. Tshilidzi Marwala, Finite-element-model Updating Using Computional
Intelligence Techniques Applications to Structural Dynamics, SpringerVerlag London Limited 2010
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
48
244. Sandesh, S. and Shankar, K.(2010) Application of a hybrid of particle swarm
and genetic algorithm for structural damage detection, Inverse Problems in
Science and Engineering, 18: 7, 997 — 1021
245. Shi Xiaohu, Li Yanwen, Li Haijun, Guan Renchu, Wang Liupu, Liang
Yanchun, An integrated algorithm based on artificial bee colony and particle
swarm optimization,
Sixth International Conference on Natural
Computation (ICNC), 2010
Volume: 5, Digital Object Identifier:
10.1109/ICNC.2010.5583169 , 2010, 2586 - 2590
246. Antonio Polimeni, Antonino Vitetta, Demand and routing models: an approach
for simulating the urban goods movements, 12th WCTR, July 11-15, 2010 –
Lisbon, Portugal
247. A. Zafari, S.M. Tashakori Hashemi & M. Yousefi Khoshbakht, A Hybrid
Effective Genetic Algorithm for Solving the Vehicle Routing Problem, IJIE,
2010
248. Mohammad Hossein Fazel Zarandi, Soheil Davari, and Ahmad Hemmati,
Fuzzy Clustering for Initialization of Simulated Annealing, Algorithm to
Solve a Capacitated Vehicle Routing Problem, Proceedings of the 2010
International Conference on Industrial Engineering and Operations
Management, Dhaka, Bangladesh, January 9 – 10, 2010
249. Ferani Eva Zulvia, A Hybrid Particle Swarm Optimization with Genetic
Algorithm for Solving Capacitated Vehicle Routing Problem with Fuzzy
Demand – A Case Study on Garbage Collection System, MSc Thesis, 2010.
250. Frederico Manuel Marques Gonçalves, Optimização de um Sistema de
Distribuição Capilar, PhD Thesis, Instituto Superior Technico, Universidade
Technica de Lisboa, November 2010.
251. Zhang, W-B., Zhu, G-Y., Comparison and application of four versions of
Particle Swarm Optimization algorithms in the sequence optimization, Expert
Systems with Applications (2011), 38, 7, 8858-8864.
252. Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in
Supply Chain Management: A Review of Selected Methods and Applications,
in Supply Chain Optimization, Design, and Management: Advances and
Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios
Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI:
10.4018/9781615206339.ch001
253. Kartika Akbaria, Market Segmentation of Taiwanese‘ Perception about
Indonesia Tourism Using PSKO and Multidimensional Scaling, 2010, MSc
Thesis, Taiwan
254. Yun Yao Li, Chang Shi Liu, An Effective Genetic Algorithm for the Vehicle
Routing Problem with Multiple Depots, Advanced Materials Research
(Volumes 204 - 210), 283-287, DOI: 10.4028/www.scientific.net/AMR.204210.283, February 2011
255. Chen, S-M., Chien, C-Y., Solving the traveling salesman problem based on
the genetic simulated annealing ant colony system with particle swarm
optimization techniques, Expert Systems with Applications (2011), 38, 12,
14439-14450.
256. S.Masrom, Siti Z.Z. Abidin, P.N.Hashimah, S. A.S. Abd. Rahman, Low-level
Teamwork Hybridization for P-Metaheuristics: A Review and Comparison,
2011, 3rd Conference on Data Mining and Optimization (DMO) 28-29
June 2011, Selangor, Malaysia, ΗΔΔΔ, 128-133
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
49
257. S.MASROM, SITI.Z.Z. ABIDIN, A.M. NASIR, A.S.ABD. RAHMAN,
Hybrid Particle Swarm Optimization for Vehicle Routing Problem with Time
Windows, Recent Researches in Computational Techniques, Non-Linear
Systems and Control, ISBN: 978-1-61804-011-4, 142-147
258. Yang, S., Lee, J., Multi-basin Particle Swarm Intelligence Method for Optimal
Calibration of Parametric Lévy Models, Expert Systems with Applications
(2012), 39, 1, 482-493.
259. Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu, Zuopeng Zhao, Particle
Swarm Optimization for Automatic Parameters Determination of Pulse
Coupled Neural Network, Journal of Computers, Vol 6, No 8 (2011), 15461553, Aug 2011 doi:10.4304/jcp.6.8.1546-1553
260. Tapabrata Ray and Ruhul Sarker, Memetic Algorithms in Constrained
Optimization F. Neri et al. (Eds.): Handbook of Memetic Algorithms,
Studies in Computational Intelligence 379, pp. 135–151, Springer-Verlag
Berlin Heidelberg 2012
261. F. Neri, C. Cotta, Memetic algorithms and memetic computing optimization:
A literature review, Swarm and Evolutionary Computation (2012), 2, 1-14.
262. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Peihua, Solving material distribution routing problem in mixed manufacturing
systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South
Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer
263. Kuo, R.J., Akbaria, K., Subroto, B., Application of Particle Swarm
Optimization and Perceptual Map to Tourist Market Segmentation, Expert
Systems with Applications (2012), 39, 10, 8726-8735.
264. Bestoun Ahmet and Kamal Zamli, A Greedy Particle Swarm Optimization
Strategy for T-way Software Testing, Journal of Artificial Intelligence,
2012, ISSN 1994-5450, DOI: 10.3923/jai.2012
265. Yan, L., Chen, Y., Zhou, Y.,
An improved micro-genetic algorithm,
Zhongshan Daxue Xuebao/Acta Scientiarum Natralium Universitatis
Sunyatseni, Volume 51, Issue 1, January 2012, Pages 50-54
266. Liu, C., Li, L., Huang, Y. , Optimization research on distribution of emergency
supplies and minimize save points based on grey correlation analysis,
Advances in Information Sciences and Service Sciences 4 (15) , pp. 50-56,
2012
267. Yang, K., Liu, Y., Yang, G., An improved hybrid particle swarm optimization
algorithm for fuzzy p-hub center problem, Computers & Industrial
Engineering (2012), doi: http://dx.doi.org/10.1016/j.cie.2012.09.006
268. Partha Guchhait, Manas Kumar Maiti, Manoranjan Maiti, Two storage
inventory model of a deteriorating item with variable demand under partial
credit period, Applied Soft Computing Journal (2013), 13, 428-448
269. R.J. Kuo, Ferani E. Zulvia, Kadarsah Suryadi Hybrid particle swarm
optimization with genetic algorithm for solving capacitated vehicle routing
problem with fuzzy demand – A case study on garbage collection system,
Applied Mathematics and Computation (2012), 219 (5), 2574-2588
270. Yan, L., Chen, Y. , Heterogeneous strategy and its application in an improved
micro-genetic algorithm, Advanced Materials Research 542-543 , pp. 14671470, 2012
271. Martinez-Soto, R., Castillo, O., Aguilar, L.T., Baruch, I.S., Bio-inspired
optimization of fuzzy logic controllers for autonomous mobile robots 2012
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
272.
273.
274.
275.
276.
277.
278.
279.
280.
281.
282.
283.
284.
50
Annual Meeting of the North American Fuzzy Information Processing
Society, NAFIPS 2012 , art. no. 6291053
Pichpibul, T., Kawtummachai, R., An improved Clarke and Wright savings
algorithm for the capacitated vehicle routing problem, ScienceAsia 38 (3) , pp.
307-318, 2012
Gulcin Dinc Yalcin and Nihal Erginel, A Heuristic Based on Integer
Programming for the Vehicle Routing Problem with Backhauls, Proceedings
of the 2012 International Conference on Industrial Engineering and
Operations Management Istanbul, Turkey, July 3 – 6, 2012
Goksal, F. P., Karaoglan, I, Altiparmak, F.. A hybrid discrete particle swarm
optimization for vehicle routing problem with simultaneous pickup and
delivery. Computers & Industrial Engineering (2013), 65, 39-53
Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute
vehicle routing problems: A survey and synthesis, European Journal of
Operational Research (2013), 231, 1-21.
Huaqin Jiang, Zhengbing Yan, Xinggao Liu, Melt index prediction using
optimized least squares support vector machines based on hybrid particle
swarm optimization algorithm, Neurocomputing, 119, 469-477, 2013
P.V. Paul, A. Ramalingam, R. Baskaran, P. Dhavachelvan, K. Vivekanandan,
R. Subramanian, A New Population Seeding Technique for PermutationCoded Genetic Algorithm, Journal of Computational Science (2013),
http://dx.doi.org/10.1016/j.jocs.2013.05.009
A. A. Abdelhalim and A. B. Eltawil, Recent Heuristics and Algorithms for
Solving the Vehicle Routing Problems, Chapter 114, E. Qi et al. (eds.),
International Asia Conference on Industrial Engineering and
Management Innovation (IEMI2012) Proceedings, DOI: 10.1007/978-3642-38445-5_114, _ Springer-Verlag Berlin Heidelberg 2013, 1103-1112
Fadzil Ahmad & Nor Ashidi Mat Isa & Zakaria Hussain & Muhammad
Khusairi Osman, Intelligent Medical Disease Diagnosis Using Improved
Hybrid Genetic Algorithm - Multilayer Perceptron Network, Journal of
Medical Systems (2013) 37:9934 DOI 10.1007/s10916-013-9934-7
Ricardo Martinez-Soto, Oscar Castillo, Luis T. Aguilar, Antonio Rodriguez,
A hybrid optimization method with PSO and GA to automatically design
Type-1 and Type-2 fuzzy logic controllers, International Journal of
Machine Learning & Cybernetics DOI 10.1007/s13042-013-0170-8
Tai-Hsi Wu, Jinn-Yi Yeh, Yueh-Min Lee, A Particle Swarm Optimization
Approach for Nurse Rostering Problem, Business and Information 2013
(Bali, July 7-9)
Fang, Z., Tu, W., Li, Q., Shaw, S.-L., Chen, S., Chen, B.Y. , A Voronoi
neighborhood-based search heuristic for distance/capacity constrained very
large vehicle routing problems, International Journal of Geographical
Information Science 27 (4) , pp. 741-764
Fatemeh Forouzanfar and Reza Tavakkoli-Moghaddam, Using a genetic
algorithm to optimize the total cost for a location-routing-inventory problem in
a supply chain with risk pooling, Journal of Applied Operational Research
(2012) 4(1), 2–13 © 2012 Tadbir Operational Research Group Ltd.
P. Victer Paul, R. Baskaran, V.S.K. Venkatachalapathy and P. Dhavachelvan,
Effective VE Population Initialization Technique for Permutation-Coded
Genetic Algorithm, International Journal of Computer Science and
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
285.
286.
287.
288.
289.
290.
291.
292.
293.
294.
295.
296.
51
Electronics Engineering (IJCSEE) Volume 1, Issue 3 (2013) ISSN 2320401X; EISSN 2320-4028
Vimal Savsani, HBBABC: A Hybrid Optimization Algorithm Combining
Biogeography Based Optimization (BBO) and Artificial Bee Colony (ABC)
Optimization For Obtaining Global Solution Of Discrete Design Problems,
International Journal Of Computational Engineering Research
(ijceronline.com) Vol. 2 Issue. 7, 85-97.
Zahra Saadati Eskandari, Majid Yousefikhoshbakht, Solving the Vehicle
Routing Problem by using an Effective Reactive Bone Route Algorithm,
Transportation Research Journal 1 (2012) 51-67
Voratas Kachitvichyanukul, Comparison of Three Evolutionary Algorithms:
GA, PSO, and DE, Industrial Engineering & Management Systems Vol 11,
No
3,
September
2012,
pp.215-223
http://dx.doi.org/10.7232/iems.2012.11.3.215 ISSN 1598-7248│EISSN 22346473│
Thibaut VIDAL, Approches generales de resolution pour les problems multiattributs de tournees de vehicules et confection d'horaires, Universite de
Montreal & Universite de Technologie de Troyes, These presentee en vue de
l'obtention du grade de Philosophi Doctor (Ph.D.) en Informatique, 2013
Masrom, S. , Abidin, S.Z.Z. , Omar, N., A taxonomy of low-level
hybridization in metaheuristics algorithms, 2012 IEEE Fifth International
Conference on Advanced Computational Intelligence (ICACI), 18-20 Oct.
2012, 441 – 446, Nanjing
S.MASROM, A.M. NASIR, SITI.Z.Z.ABIDIN, A.S.A. RAHMAN, Software
Framework for Vehicle Routing Problem with Hybrid Metaheuristic
Algorithms. Recent Researches in Mathematical Methods in Electrical
Engineering and Computer Science ISBN: 978-1-61804-051-0, 55-61
Paul, P.V. , Dhavachelvan, P. , Baskaran, R., A novel population initialization
technique for Genetic Algorithm, 2013 International Conference on
Circuits, Power and Computing Technologies (ICCPCT), 20-21 March
2013, 1235 – 1238, Nagercoil, Digital Object Identifier :
10.1109/ICCPCT.2013.6528933
P. Victer Paul, A. Ramalingam, R. Baskaran, P. Dhavachelvan,
Κ.Vivekanandan,
R.
Subramanian
and
V.S.K.Venkatachalapathy,
Performance Analyses on Population Seeding Techniques for Genetic
Algorithms International Journal of Engineering and Technology (IJET),
Vol 5 No 3 Jun-Jul 2013, ISSN : 0975-4024, 2993-3000.
GD YALCIN, N ERGINEL, A HEURISTIC BASED ON MULTI OBJECTIVE
LINEAR PROGRAMMING UNDER FUZZINESS FOR THE VEHICLE ROUTING
PROBLEM, Uncertainty Modeling in Knowlege Engineering and
Decision Making, Cengiz Kahraman, Faik Tunc Bozbura, Etienne E. Kerre,
Istanbul, Turkey, 26-29 August 2012, 2012
Zhong, S., Dong, Y.-F., Sarosh, A., Artificial bee colony algorithm for
parametric optimization of spacecraft attitude tracking controller, Advances in
Intelligent Systems and Computing 215 , pp. 501-510, 2014
Liu, X., Optimization of min-max vehicle routing problem based on genetic
algorithm, Proceedings of SPIE - The International Society for Optical
Engineering 8920 , art. no. 89200B
Peker, M., Şen, B., Kumru, P.Y., An efficient solving of the traveling
salesman problem: The ant colony system having parameters optimized by the
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
297.
298.
299.
300.
301.
302.
303.
304.
305.
306.
307.
308.
309.
310.
52
Taguchi method, Turkish Journal of Electrical Engineering and Computer
Sciences 21 (SUPPL. 1) , pp. 2015-2036, 2013
Sabar, N.R., Ayob, M., Kendall, G., Qu, R., Grammatical evolution hyperheuristic for combinatorial optimization problems, IEEE Transactions on
Evolutionary Computation 17 (6) , art. no. 6595625 , pp. 840-861
Chen, Y.Q., Peng, N.X., Study on Chaotic Particle Swarm Optimization
Algorithm in solution of logistics scheduling problem, Advanced Materials
Research 798 , pp. 720-727, 2013
Chen, Y.Q., Yang, W.J., Research on parallel genetic algorithms related
logistics transportation scheduling problem, Applied Mechanics and
Materials 411-414 , pp. 2704-2709 , 2013
Chen, Y.Q., Yang, W.J., Research on single distribution center logistics
transportation scheduling problem based on static road capacity constraints,
Advanced Materials Research 798 , pp. 954-962, 2013
Ozsoydan, F.B., Sipahioglu, A., Heuristic solution approaches for the
cumulative capacitated vehicle routing problem, Optimization 62 (10) , pp.
1321-1340, 2013
Gopalakrishnan, K., Particle Swarm Optimization in Civil Infrastructure
Systems: State-of-the-Art Review (Chapter B), Metaheuristic Applications
in Structures and Infrastructures, 2013
Feng, X., Ma, M., Yu, H., Lake-energy optimization algorithm for travelling
salesman problem, Jisuanji Yanjiu yu Fazhan/Computer Research and
Development 50 (9) , pp. 2015-2027, 2013
Chainate, W., Pongcharoen, P., Thapatsuwan, P., Clonal selection of artificial
immune system for solving the capacitated vehicle routing problem, Journal
of Next Generation Information Technology 4 (3) , pp. 167-179, 2013
Reza Tavakkoli-Moghaddam, Fateme Forouzanfar and Sadoullah
Ebrahimnejad, Incorporating location, routing, and inventory decisions in a biobjective supply chain design problem with risk-pooling, Journal of
Industrial Engineering International 2013, 9:19.
Gao guibing, Zhang hongbo, Zhang daobing, The Optimization of Materials
Distribution Routing Plan in the Flow Manufacturing System Based on Multiobjective Evolutionary Algorithm, 2012 2nd International Conference on
Computer Science and Network Technology, 1493-1496
Partha Guchhait, Manas Kumar Maiti, Manoranjan Maiti, Inventory model of
a deteriorating item with price and credit linked fuzzy demand : A fuzzy
differential equation approach, OPSEARCH, 51(3), 321-353, DOI
10.1007/s12597-013-0153-2
T. Geetha, A diverse versions and variations of Particle Swarm Optimization
(PSO) algorithm for real world complex optimization problems, International
Journal of Emerging Technology and Advanced Engineering, 3 (8), 2013,
454-459
Antonio Polimeni & Antonino Vitetta, Vehicle routing in urban areas: an
optimal approach with cost function calibration, Transportmetrica B:
Transport Dynamics, DOI: 10.1080/23249935.2013.826747
T. Geetha, An Optimistic Web Service Selection using Multi Colony – Particle
Swarm Optimization (MC – PSO) algorithm, Journal of Emerging
Technology and Advanced Engineering, 3 (8), 2013, 489-498
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
53
311. Ricardo Martλnez-Soto, Oscar Castillo, Luis T. Aguilar, Type-1 and Type-2
fuzzy logic controller design using a Hybrid PSO–GA optimization method,
Information Sciences 285 (2014) 35–49
312. Na Fang, Jianzhong Zhou, Rui Zhang, Yi Liu, Yongchuan Zhang, A hybrid of
real coded genetic algorithm and artificial fish swarm algorithm for short-term
optimal hydrothermal scheduling, Electrical Power and Energy Systems 62
(2014) 617–629
313. Le Hoang Son, Optimizing Municipal Solid Waste collection using Chaotic
Particle Swarm Optimization in GIS based environments: A case study at
Danang city, Vietnam, Expert Systems with Applications 41 (2014) 8062–
8074
314. Junliang He, Youfang Huang, Daofang Chang, Simulation-based heuristic
method for container supply chain network optimization, Adv. Eng.
Informat. (2014), http://dx.doi.org/10.1016/j.aei.2014.08.001
315. Junliang He, Youfang Huang, Wei Yan, Yard crane scheduling in a container
terminal for the trade-off between efficiency and energy consumption, Adv.
Eng. Informat. (2014), http://dx.doi.org/10.1016/j.aei.2014.09.003
316. P. Victer Paul, A. Ramalingam, R. Baskaran, P. Dhavachelvan, K.
Vivekanandan, R. Subramanian, A new population seeding technique for
permutation-coded GeneticAlgorithm: Service transfer approach. Journal of
Computational Science 5 (2014) 277–297
317. Lin, C.-J., Peng, C.-C., An efficient evolutionary neural fuzzy controller for
the inverted pendulum system 2014 Cybernetics and Systems 45 (4), pp.
324-348
318. Ahmed, Z.H. Improved genetic algorithms for the travelling salesman problem
International Journal of Process Management and Benchmarking, 4 (1),
pp. 109-124, 2014
319. Rao, W.-Z., Jin, C., Wang, X.-H., Liu, F. A model of low-carbon vehicle
routing problem considering road gradient and its solving strategy Source of
the Document Xitong Gongcheng Lilun yu Shijian/System Engineering
Theory and Practice 34 (8), pp. 2092-2105, 2014
320. Yousefikhoshbakht, M., Didehvar, F., Rahmati, F. An efficient solution for the
VRP by using a hybrid elite ant system, International Journal of
Computers, Communications and Control 9 (3), pp. 340-347, 2014
321. Savsani, P., Jhala, R.L., Savsani, V. Effect of hybridizing BiogeographyBased Optimization (BBO) technique with Artificial Immune Algorithm
(AIA) and Ant Colony Optimization (ACO) Applied Soft Computing
Journal 21, pp. 542-553, 2014
322. Jin, M., Lu, H.-X., A multi-subgroup hierarchical hybrid of genetic algorithm
and particle swarm optimization, Kongzhi Lilun Yu Yingyong/Control
Theory and Applications 30 (10), pp. 1231-1238, 2013
323. Chen, Y., Hu, X., Ye, G., Research on related vehicle routing problem for
single distribution centre based on dynamic constraint, Proceedings - 9th
International Conference on Computational Intelligence and Security,
CIS 2013 6746359, pp. 76-79, 2013
324. Chen, Y., Guo, J., Hu, X., Research on related vehicle routing problem for
multiple depots basing on dynamic constraint, Proceedings - 9th
International Conference on Computational Intelligence and Security,
CIS 2013 6746358, pp. 71-75, 2013
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
54
325. Abdelhalim, A.A., Eltawil, A.B., Recent heuristics and algorithms for solving
the vehicle routing problems, 2013 International Asia Conference on
Industrial Engineering and Management Innovation: Core Areas of
Industrial Engineering, IEMI 2012 - Proceedings pp. 1103-1112
The paper ―Honey Bees Mating Optimization Algorithm for Large Scale Vehicle
Routing Problems, Natural Computing, 9, 5-27, 2010‖ is cited by:
326. Armin Lüer, Magdalena Benavente, Jaime Bustos and Bárbara Venegas, El
problema de rutas de vehículos: Extensiones y métodos de resolución, estado
del arte, WORKSHOP INTERNACIONAL EIG2009, Departamento de
Ingeniería de Sistemas Universidad de La Frontera – Chile, Diciembre 3 y 4,
2009
327. Bernardino, Eugenia M.; Bernardino, Anabela M.; Sanchez-Perez, Juan
Manuel; Gomez-Pulido, Juan Antonio; Vega-Rodriguez, Miguel Angel;
Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to
concentrators 3rd International Symposium on Applied Sciences in
Biomedical and Communication Technologies (ISABEL), DOI:
10.1109/ISABEL.2010.5702845, 2010 , 1 - 7
328. Konrad Diwold, Madeleine Beekman, and Martin Middendorf, Honeybee
Optimisation – An Overview and a New Bee Inspired Optimisation Scheme,
Handbook of Swarm Intelligence – Concepts, Principles and Applications,
Series on Adaptation, Learning, and Optimization, Springer, 2011, 295-327.
329. Ivona BRAJEVIC, Artificial bee colony algorithm for the capacitated vehicle
routing problem, Proceedings of the European Computing Conference,
ISBN: 978-960-474-297-4, 239-244, 2011.
330. Szeto, W.Y., Wu, Y., Ho, S.C., An Artificial Bee Colony Algorithm for the
Capacitated Vehicle Routing Problem, European Journal of Operational
Research (2011), 215, 1, 126-135.
331. S.D. Li, 1X. Liu, C. Cai, M.Y. Ding, Path Planning of UAVs Using
Subsection Queen-bee-assisted Genetic Algorithm International Journal of
Digital Content Technology and its Applications. Volume 5, Number 6,
June 2011, doi:10.4156/jdcta.vol5.issue6.14, 113-121
332. Thieme, Frank, Entwurf eines Hummel inspirierten Algorithmus zur
Maschinenbelegungsplanung, Universität Leipzig Fakultät für Mathematik
und Informatik Institut für Informatik, MSc Thesis, September 2010
333. Bortfeldt A. A hybrid algorithm for the capacitated vehicle routing problem
with three-dimensional loading constraints. Computers and Operations
Research (2012), 39, 9, 2248-2257.
334. Andreas Bortfeldt and Jorg Homberger, Packing First, Routing Second – a
Heuristic for the Vehicle Routing and Loading Problem, Computers &
Operations Research, 40(3), 873-885, (2013)
335. Pichpibul, T., Kawtummachai, R., An improved Clarke and Wright savings
algorithm for the capacitated vehicle routing problem, ScienceAsia 38 (3) , pp.
307-318, 2012
336. Yahyaoui Khadidja , Debbat Fatima, Khelfi Mohamed Fayçal, Hybrid
Algorithm Based on HBMO and GRASP For Real-time Task Scheduling
Problem Resolution, IJCSI International Journal of Computer Science
Issues, Vol. 9, Issue 4, No 3, July 2012, ISSN (Online): 1694-0814, 197-203
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
55
337. Qingfang Ruan, Zhengqian Zhang, Lixin Miao, Haitao Shen, A hybrid
approach for the vehicle routing problem with three-dimensional loading
constraints. Computers and Operations Research (2013), 40(6), 1579-1589
338. Zhang Chao-qun, Zheng Jian-guo, Wang Xiang, Overview of research on bee
colony algorithms, Application Research of Computers, 28, 9, Sep. 2011
339. Li, S., Liu, S., Ai, Q., Li, J., Fast 3D path pre-planning method for UAVs,
Applied Mechanics and Materials 278-280 , pp. 1676-1681, 2013
340. S.C. Pandey, G.C. Nandi, TSD based framework for mining the induction
rules, Journal of Computational Science (2014), 5, 184-195.
341. B. Xing and W.-J. Gao, Bee Inspired Algorithms, Chapter 4, Innovative
Computational Intelligence: A Rough Guide to 134 Clever Algorithms ,
Intelligent Systems Reference Library 62, DOI: 10.1007/978-3-319-034041_4, Springer International Publishing Switzerland 2014, 45-80
342. Shuzhu Zhang, C.K.M. Lee, H.K. Chan, K.L. Choy, Zhang Wu, Swarm
intelligence applied in green logistics: A literature review, Engineering
Applications of Artificial Intelligence 37 (2015) 154–169
343. N. Larbi, F. Debbat, A. Boudghene Stambouli, Multiuser Detection For DSCDMA Systems Using Honeybees Mating Optimization Algorithm, Arab J
Sci Eng (2014) 39:4911–4921 DOI 10.1007/s13369-014-1198-0
344. Helal, N., Harmanani, H., Effective solutions for the split delivery vehicle
routing problem with time windows, 29th International Conference on
Computers and Their Applications, CATA 2014 pp. 315-320
The paper ―A Hybrid Multi-Swarm Particle Swarm Optimization Algorithm for the
Probabilistic Traveling Salesman Problem, Computers and Operations Research, 37,
432-442, 2010‖ is cited by:
345. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based
metaheuristics for the probabilistic traveling salesman problem. Technical
Report IridiaTr2009-017r001, 2009
346. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based
metaheuristics for the probabilistic traveling salesman problem. Computers
and Operations Research, 2010, 37, 11, 1939-1951.
347. Y-H. Liu, Different Initial Solution Generators in Genetic Algorithms for
Solving the Probabilistic Traveling Salesman Problem, Applied Mathematics
and Computation (2010), 216, 1, 125-137.
348. Prasanna BALAPRAKASH, Estimation-based Metaheuristics for Stochastic
Combinatorial Optimization: Case Studies in Stochastic Routing Problems,
Ph.D. Thesis, University of Bruxelles, 2010.
349. ZHENG Hong-ying, HOU Mei-ju, WANG Yu, Fast Method for Feature
Selection in Intrusion Detection, Computer Engineering, Vol 36, No 6, 2010,
262-264
350. Babak Farhang Moghadama and Seyed Mohammad Seyedhosseini, A Particle
Swarm Approach to Solve Vehicle Routing Problem with Uncertain Demand:
A Drug Distribution Case Study, International Journal of Industrial
Engineering Computations, 1, (2010), 55-66.
351. Mu Aiqin and Zhang Ruiping, Solving Traveling Salesman Problem Based on
Improved Particle Swarm Optimization Algorithm, available on line
www.paper.edu.cn/index.php/default/downPaper/201005-589.pdf
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
56
352. Bestoun S. Ahmed, Kamal Z. Zamli, "PSTG: A T-Way Strategy Adopting
Particle Swarm Optimization," ams, pp.1-5, 2010 Fourth Asia International
Conference on Mathematical/Analytical Modelling and Computer
Simulation, 2010
353. Bestoun S. Ahmed, Kamal Z. Zamli, T-Way Test Data Generation Strategy
Based on Particle Swarm Optimization , Second International Conference
on Computer Research and Development (ICCRD), 2010 , pp 93-97.
354. Jian Luo, Chang-qing Wu, Wen-cai Hong, Yong Cheng, San-yao Xu,
Research on Scheduling of the RGV System Based on QPSO, 8th IEEE
International Conference on Control and Automation, Xiamen, China,
June 9-11, 2010
355. Zhang Yu Bin, Lin Li Zhong, Zhang Ya Ming, Study on network flow
prediction model based on particle swarm optimization algorithm and RBF
neural network, 3rd IEEE International Conference on Computer Science
and Information Technology, Vol. 2, pp. 302-306
356. Yu Zhang, Xiaopeng Xie, Taobo Cheng, Application of PSO and SVM in
image classification, 3rd IEEE International Conference on Computer
Science and Information Technology, Vol. 6, pp. 629-631.
357. Yang, Yu, Dai, Hongwei, Li, Hui; , "Adaptive Genetic Algorithm with
Application for Solving Traveling Salesman Problems," 2010 International
Conference on Internet Technology and Applications, pp. 1-4, 20-22 Aug.
2010 doi: 10.1109/ITAPP.2010.5566615
358. Cheng gang, A PSO-GA Method to Solve a Partial Shipment and Scheduling
Problem, 2010 International Conference on Computer Application and
System Modeling (ICCASM 2010)
359. Liu, J., Wu, C., Wang, X., Yu, D., Automotive parts' loading optimization
based on improved quadratic particle swarm optimization, International
Journal of Humanoid Robotics, Volume 7, Issue 4, December 2010, Pages
699-712
360. X. Geng, Z. Chen, W. Yang, D. Shi, K. Zhao, Solving the traveling salesman
problem based on an adaptive simulated annealing algorithm with greedy
search, Applied Soft Computing Journal (2011), 11, 4, 3680-3689.
361. Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in
Supply Chain Management: A Review of Selected Methods and Applications,
in Supply Chain Optimization, Design, and Management: Advances and
Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios
Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI:
10.4018/9781615206339.ch001
362. Evi Tjandradjaja, An Approach using Discrete Particle Swarm Optimization
and Bottleneck Heuristic to Solve Hybrid Flow Shop Scheduling Problem,
2010, MSc Thesis, China
363. Walter J. Gutjahr, Recent trends in metaheuristics for stochastic combinatorial
optimization, Central European Journal of Computer Science, 1(1) , 2011,
58-66, DOI: 10.2478/s13537-011-0003-3
364. Chaogai Xue, Lili Dong, Guohua Li, An Improved Immune Genetic
Algorithm for the Optimization of Enterprise Information System based on
Time Property, JOURNAL OF SOFTWARE, VOL. 6, NO. 3, MARCH
2011, 436-443
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
57
365. A.A. Taleizadeh, F. Barzinpour, H.-M. Wee, Meta-heuristic algorithms for
solving a fuzzy single period problem, Mathematical and Computer
Modelling (2011), 54, 1273-1285
366. M. Chih, L.-L. Yeh, F.-C. Li, Particle Swarm Optimization for the Economic
and Economic Statistical Designs of the x Control Chart, Applied Soft
Computing Journal (2011), 11, 8, 5053-5067
367. Wei Huang, Xingnan Zhang, Projection Pursuit Flood Disaster Classification
Assessment Method Based on Multi-Swarm Cooperative Particle Swarm
Optimization, Journal of Water Resource and Protection, 2011, 3, 415-420
doi:10.4236/jwarp.2011.36051
Published
Online
June
2011
(http://www.scirp.org/journal/jwarp)
368. M. Yaghini, M. Momeni, M. Sarmadi, Finding the Shortest Hamiltonian Path
for Iranian Cities Using Hybrid Simulated Annealing and Ant Colony
Optimization Algorithms, International Journal of Industrial Engineering
& Production Research, March 2011, Volume 22 Number 1 pp.. 31--42
369. Jiao Zhao, Lixin Tang, "The Simultaneous Quay Crane and Truck Scheduling
Problem in Container Terminals," Intelligent Computation Technology and
Automation, International Conference on, vol. 1, pp. 279-282, 2011 Fourth
International Conference on Intelligent Computation Technology and
Automation, 2011.
370. Ayca Altay and Gulgun Kayakutlu, Animal Food Chain Based Particle Swarm
Optimization, Proceedings of the World Congress on Engineering 2011 Vol
II WCE 2011, July 6 - 8, 2011, London, U.K.
371. RAO Wei-zhen, JIN Chun, HUANG Ying-yi, Hybrid algorithm of the nearest
neighbor and insertion for the traveling salesman problem, Systems
Engineering — Theory & Practice, Vol.31, No.8, Aug., 2011, 1419-1428
372. Bestoun S. Ahmed, Kamal Z. Zamli, Chee Peng Lim, Application of Particle
Swarm Optimization to Uniform and Variable Strength Covering Array
Construction, Applied Soft Computing Journal (2012), 12, 4, 1330-1347.
373. R. Venkata Rao and Vimal J. Savsani, Applications of Modified Optimization
Algorithms to the Unconstrained and Constrained Problems, Mechanical
Design Optimization Using Advanced Optimization Techniques, Springer
Series in Advanced Manufacturing, 2012, 69-121, DOI: 10.1007/978-1-44712748-2_4
374. R. Venkata Rao and Vimal J. Savsani, Advanced Optimization Techniques,
Mechanical Design Optimization Using Advanced Optimization
Techniques, Springer Series in Advanced Manufacturing, 2012, 5-34, DOI:
10.1007/978-1-4471-2748-2_2
375. C.-J. Liao, E. Tjandradjaja, T.-P. Chung, An approach using particle swarm
optimization and bottleneck heuristic to solve hybrid flow shop scheduling
problem, Applied Soft Computing Journal (2012), 12, 6, 1755-1764.
376. Bestoun Ahmet and Kamal Zamli, A Greedy Particle Swarm Optimization
Strategy for T-way Software Testing, Journal of Artificial Intelligence,
2012, ISSN 1994-5450, DOI: 10.3923/jai.2012
377. Guillermo Cabrera G., Silvana Roncagliolo D., Juan P. Riquelme, Claudio
Cubillos and Ricardo Soto, A Hybrid Particle Swarm Optimization Simulated Annealing Algorithm for the Probabilistic Travelling Salesman
Problem, SIC: vol. 21, issue 1/2012, pp. 49-58
378. Peitsang Wu, Yung-Yao Hung and Han-Chieh Chiang,
A Hybrid
Electromagnetism-like Mechanism: A Metaheuristic Algorithm for Solving
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
379.
380.
381.
382.
383.
384.
385.
386.
387.
388.
389.
390.
391.
58
the Travelling Salesman Problem, International Journal of Operations
Research Vol. 9, No. 1, 53−65 (2012)
Ahmed, B.S., Zamli, K.Z., Lim, C.P., Constructing a t-way interaction test
suite using the Particle Swarm Optimization approach, International Journal
of Innovative Computing, Information and Control 8 (1 A) , pp. 431-451
Hongqi Li, Yue Lu, Jun Zhang, and Tianyi Wang, Solving the Tractor and
Semi-Trailer Routing Problem Based on a Heuristic Approach, Hindawi
Publishing Corporation Mathematical Problems in Engineering Volume
2012, Article ID 182584, 12 pages doi:10.1155/2012/182584
Ulrike Ritzinger and Jakob Puchinger, Hybrid Metaheuristics for Dynamic and
Stochastic Vehicle Routing, E.-G. Talbi (Ed.): Hybrid Metaheuristics, SCI
434, pp. 77–95, Springer-Verlag Berlin Heidelberg 2013
Ayca Altay and Gulgun Kayakutlu, Evolutions in Particle Swarm
Optimization: Benchmark on Continuous Cases, C. Kahraman (ed.),
Computational Intelligence Systems in Industrial Engineering, Atlantis
Computational Intelligence Systems 6, DOI: 10.2991/978-94-91216-77-0_26,
Atlantis Press 2012, 557-577.
Wu Deng, Rong Chen, Bing He, Yaqing Liu, Lifeng Yin, Jinghuan Guo, A
novel two-stage hybrid swarm intelligence optimization algorithm and
application, Soft Computing, 16(10), 1707-1722, Springer, 2012
R.J. Kuo, Ferani E. Zulvia, Kadarsah Suryadi Hybrid particle swarm
optimization with genetic algorithm for solving capacitated vehicle routing
problem with fuzzy demand – A case study on garbage collection system,
Applied Mathematics and Computation (2012), 219(5), 2574-2588.
Latha Shankar, B., S. Basavarajappa, Jason C.H. Chen, Rajeshwar S.
Kadadevaramath Location and allocation decisions for multi-echelon supply
chain network – A multi-objective evolutionary approach. Expert Systems
with Applications (2013), 40(2), 551-562.
Α. Azadeh, M. Hosseinabadi Farahani, H. Eivazy, S. Nazari-Shirkouhi, G.
Asadipour, A hybrid meta-heuristic algorithm for optimization of crew
scheduling, Applied Soft Computing Journal (2013), 13(1), 158-164.
Jiang, H., Liu, T., Chen, J. , An exact algorithm for TSP based on time-delay
message broadcasting mechanism in cloud computing environment, Advances
in Information Sciences and Service Sciences 4 (20) , pp. 299-308, 2012
Xuesong Yan, Can Zhang , Wenjing Luo, Wei Li, Wei Chen and Hanmin Liu,
Solve Traveling Salesman Problem Using Particle Swarm Optimization
Algorithm, IJCSI International Journal of Computer Science Issues, Vol.
9, Issue 6, No 2, November 2012 ISSN (Online): 1694-0814, 264-271
A. A. Abdelhalim and A. B. Eltawil, Recent Heuristics and Algorithms for
Solving the Vehicle Routing Problems, Chapter 114, E. Qi et al. (eds.),
International Asia Conference on Industrial Engineering and
Management Innovation (IEMI2012) Proceedings, DOI: 10.1007/978-3642-38445-5_114, _ Springer-Verlag Berlin Heidelberg 2013, 1103-1112
Reuy-Maw Chen and Chuin-Mu Wang, Controlling Search Using an S
Decreasing Constriction Factor for Solving Multi-mode Scheduling Problems,
M. Ali et al. (Eds.): IEA/AIE 2013, LNAI 7906, pp. 545–555, 2013. ©
Springer-Verlag Berlin Heidelberg 2013
Stacy A. Voccia, Ann M. Campbell, Barrett W. Thomas, The probabilistic
traveling salesman problem with time windows, EURO Journal of
Transportation and Logistics (2013) 2:89–107
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
59
392. Min Huang, Xingwei Wang, Fu-Qiang Lu, and Hua-Ling Bi, A Coordination
of Risk Management for Supply Chains Organized as Virtual Enterprises,
Hindawi Publishing Corporation Mathematical Problems in Engineering
Volume
2013,
Article
ID
931690,
11
pages
http://dx.doi.org/10.1155/2013/931690
393. Ruey-Maw Chen and Hsiao-Fang Shih, Solving University Course
Timetabling Problems Using Constriction Particle Swarm Optimization with
Local Search, Algorithms 2013, 6, 227-244; doi:10.3390/a6020227
394. Jorge Ivan Pérez Rave, Gloria Patricia Jaramillo Álvarez, Relevant literary
space on travelling salesman problem (TSP): contents, classification, methods
and fields of inspiration, Produção, 23(4), 866-876
395. Baltas, G., Tsafarakis, S., Saridakis, C., Matsatsinis, N. , Biologically Inspired
Approaches to Strategic Service Design: Optimal Service Diversification
Through Evolutionary and Swarm Intelligence Models, Journal of Service
Research 16 (2) , pp. 186-201
396. Rao, W.-Z., Jin, C., Lu, L.-T. , An improved greedy algorithm with
information of edges' location for solving the Euclidean traveling salesman
problem, Jisuanji Xuebao/Chinese Journal of Computers 36 (4) , pp. 836850
397. Xiaohua Wang, Aiqin Mu, Shisong Zhu, ISPO: A New Way to Solve
Traveling Salesman Problem, Intelligent Control and Automation, 2013, 4,
122-125 doi:10.4236/ica.2013.42017 Published Online May 2013
(http://www.scirp.org/journal/ica)
398. Masoud Yaghini, Mohsen Momeni and Mohammadreza Sarmadi, DIMMAImplemented Metaheuristics for Finding Shortest Hamiltonian Path Between
Iranian Cities Using Sequential DOE Approach for Parameters Tuning,
International Journal of Applied Metaheuristic Computing (IJAMC),
Volume 2, Issue 2. Copyright © 2011. 19 pages.
399. Masoud Yaghini, Mohsen Momeni, Mohammadreza Sarmadi, DOE–based
parameter tuning for local branching algorithm, International Journal of
Metaheuristics,
Volume
2,
Number
1/2012,
1-14,
DOI:
10.1504/IJMHEUR.2012.048211
400. WU Xin-jie, HUANG Guo-xing, Application of particle filter algorithm in
traveling salesman problem. Journal of Computer Applications
2012 32 (08): 2219-2222 ISSN: 1001-9081: CN: 51-1307/TP
401. Weiqi Li, Constructing a Solution Attractor for the Probabilistic Traveling
Salesman Problem through Simulation, M. Emmerich et al. (eds.), EVOLVE - A
Bridge between Probability, Set Oriented Numerics, 1 and Evolutionary
Computation IV, Advances in Intelligent Systems and Computing 227, DOI:
10.1007/978-3-319-01128-8_1, c_ Springer International Publishing Switzerland
2013
402. Guo, H.L., Research on rule extraction technology based on genetic algorithm in
intrusion detection, Advanced Materials Research 760-762 , pp. 857-861, 2013
403. Pang, S., Li, T., Dai, F., Yu, M., Particle swarm optimization algorithm for multisalesman problem with time and capacity constraints, Applied Mathematics and
Information Sciences 7 (6) , pp. 2439-2444, 2013
404. Guo, H.L., Research on the model of database intrusion protection system based
on E-commerce platform, Applied Mechanics and Materials 336-338 , pp.
2559-2562, 2013
405. Min Huang, XingweiWang, Fu-Qiang Lu, and Hua-Ling Bi, A Coordination of
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
406.
407.
408.
409.
410.
411.
412.
413.
414.
415.
416.
417.
60
Risk Management for Supply Chains Organized as Virtual Enterprises, Hindawi
Publishing Corporation Mathematical Problems in Engineering Volume 2013,
Article ID 931690, 11 pages http://dx.doi.org/10.1155/2013/931690
Srinjoy Ganguly and Swagatam Das, A Novel Ant Colony Optimization
Algorithm for the Vehicle Routing Problem, B.K. Panigrahi et al. (Eds.):
SEMCCO 2013, Part I, LNCS 8297, pp. 401–412, 2013. © Springer International
Publishing Switzerland 2013
Qingjian Ni, Cen Cao, and Huimin Du, A New Particle Swarm Optimization with
Population Restructuring Based Multiple Population Strategy, B.K. Panigrahi et
al. (Eds.): SEMCCO 2013, Part I, LNCS 8297, pp. 688–698, 2013. Springer
International Publishing Switzerland 2013
Lixin Tang, Jiao Zhao, Jiyin Liu, Modeling and solution of the joint quay crane
and truck scheduling problem, European Journal of Operational Research,
236, (2014), 978-990
Hsuan-Ming Feng, Kuo-Lung Liao, Hybrid evolutionary fuzzy learning scheme in
the applications of traveling salesman problems, Information Sciences 270
(2014) 204–225
Mingchang Chih, Self-adaptive check and repair operator-based particle
swarmoptimization for the multidimensional knapsack problem, Appl. Soft
Comput. J. (2014), http://dx.doi.org/10.1016/j.asoc.2014.10.030
Ruey-Maw Chen, You-An Chen, Heuristics Based Particle Swarm Optimization
for Solving Vehicle Routing Problems, 2014 International Symposium on
Computer, Consumer and Control
Lingyun Zhou, Lixin Ding and Xiaoli Qiang, A Multi-population Discrete Firefly
Algorithm to Solve TSP, L. Pan et al. (Eds.): BIC-TA 2014, CCIS 472, pp. 648–
653, 2014. Springer-Verlag Berlin Heidelberg 2014
Lin, C.-J., Peng, C.-C., An efficient evolutionary neural fuzzy controller for the
inverted pendulum system, Cybernetics and Systems, 45 (4), pp. 324-348, 2014
Ni, Q.-J., Deng, J.-M., Xing, H.-C. Dynamic probabilistic particle swarm
optimization based on heterogeneous multiple population strategy, Moshi Shibie
yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence 27 (2),
pp. 146-152
Yu, Y.-Y., Chen, Y., Li, T.-Y., Improved genetic algorithm for solving TSP,
Kongzhi yu Juece/Control and Decision 29 (8), pp. 1483-1488, 2014
Chen, R.M., Chen, Y.A., Heuristics based particle swarm optimization for solving
vehicle routing problems, Proceedings - 2014 International Symposium on
Computer, Consumer and Control, IS3C 2014 6845892, pp. 360-363
Guo, L.-Z., Wang, Y.-J., Zhao, S.-G., Shen, S.-G., Jiang, C.-Y., Particle swarm
optimization embedded in variable neighborhood search for task scheduling in
cloud computing, Journal of Donghua University (English Edition) 30 (2), pp.
145-152, 2013
The paper ―Ant Colony and Particle Swarm Optimization for Financial Classification
Problems, Expert Systems with Applications, 36, 7, 10604-10611, 2009‖ is cited by:
418. Zhihua Cui, Zhongzhi Shi, Boid Particle Swarm Optimization, International
Journal of Innovative Computing and Applications, 2009, Vol 2, No2, 7785.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
61
419. Zhihua Cui and Xingjuan Cai, Integral Particle Swarm Optimization with
Dispersed Accelerator Information, Fundamenta Informaticae, 2009, 95(4):
427-447.
420. Xingjuan Cai, Ying Tan, Individual Predicted Integral-controlled Particle
Swarm Optimization, International Journal of Innovative Computing and
Applications, 2009, Vol 2 No 2 115-122.
421. Ali Hassan, Particle Swarm Optimization for routing and wavelength
assingment in next generation WDM networks, Ph.D. Thesis, Queen Mary
University of London, December 2009
422. Zhihua Cui, Xingjuan Cai, Ying Tan and Jianchao Zeng, ―Integral-controlled
Particle Swarm Optimization‖, Handbook of Swarm Intelligence –
Concepts, Principles and Applications, Series on Adaptation, Learning, and
Optimization, Springer, 2011, 175-199.
423. Dragan Simić, Vladeta Gajić, and Svetlana Simić, An Approach of Bioinspired Hybrid Model for Financial Markets, M. Graña Romay et al. (Eds.):
HAIS 2010, Part I, LNAI 6076, pp. 205–212, 2010. © Springer-Verlag
Berlin Heidelberg 2010
424. Qingsong Song, Zuren Feng and Mingli Lei, Stable training method for echo
state networks with output feedbacks, International Conference on
Networking, Sensing and Control (ICNSC), 2010 , 159-164
425. Yorgos Goletsis, Themis P. Exarchos and Christos D. Katsis, Credit scoring
using an Ant mining approach, Human Systems Management, 29 (2010)
79–88
426. Noorhaniza Wahid, Yuk Ying Chung, Wei-Chang Yeh and Guang Liu,
Feature Selection Using a Novel Swarm Intelligence Algorithm with Rough
Sets, BIOCOMP'10, The 2010 International Conference on
Bioinformatics, and Computational Biology, 2010
427. Sumona Mukhopadhyay, Santo Banerjee Cooperating Swarms: A Paradigm
for Collective Intelligence and its Application in Finance, International
Journal of Computer Applications (0975 – 8887) Volume 6– No.10,
September 2010, 31-41.
428. W. Chu, X. Gao, S. Sorooshian, Handling boundary constraints for particle
swarm optimization in high-dimensional search space, Information Sciences
(2011), 181, 20, 4569-4581.
429. Ognjen Radović, AGENT-BAZIRANI MODEL ELEKTRONSKOG
FINANSIJSKOG TRŢIŠTA, Ph.D. Thesis, Subotica 2010, Godine.
430. Mohammad Dashti J, Kambiz Shojaee G., S.M.H. Seyedkashi, M. Behnam T.,
Novel Simulated Annealing Algorithm in order to Optimal Adjustment of
Digital PID Controller, 11th Int. Conf. Control, Automation, Robotics and
Vision Singapore, 7-10th December 2010
431. I-Wei Kao and Chi-Yang Tsia, Selective Regeneration Particle Swarm
Optimization for Inventory Classification in Supply Chain Systems, 2010
Second World Congress on Nature and Biologically Inspired Computing
Dec. 15-17,2010 in Kitakyushu, Fukuoka, Japan
432. Chau Minh Ky, A Fuzzy MCDM method to select the best company based on
Financial Report Analysis, MSc Thesis, National University of Tainan,
January 2011
433. Yorgos Goletsis, Themis P. Exarchos and Christos D. Katsis, Bio-inspired
intelligence for credit scoring, International Journal of Financial Markets and
Derivatives, Volume 2, Number 1-2 / 2011, 32 - 49
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
62
434. Ning Chen, Bernardete Ribeiro, Armando S. Vieira, Joγo Duarte, Joγo C.
Neves, A genetic algorithm-based approach to cost-sensitive bankruptcy
prediction, Expert Systems with Applications 38 (2011) 12939–12945
435. Chopade, Ramchandra P. , Agnihotri, E. , Singh, A. K. , Kumar, A. , Uppaluri,
R. , Mishra, Subhash C. and Mahanta, P.(2011) 'Application of a Particle
Swarm Algorithm for Parameter Retrieval in a Transient ConductionRadiation Problem', Numerical Heat Transfer, Part A: Applications, 59: 9,
672 — 692
436. Ho, T.K., Tsang, C.W., Ip, K.H., Kwan, K.S., Train Service Timetabling in
Railway Open Markets by Particle Swarm Optimisation, Expert Systems
with Applications (2012), 39, 1, 861-868.
437. Ayca Altay and Gulgun Kayakutlu, Animal Food Chain Based Particle Swarm
Optimization, Proceedings of the World Congress on Engineering 2011 Vol
II WCE 2011, July 6 - 8, 2011, London, U.K.
438. Jung-Yuan Kung, Tzung-Nan Chuang and Chau Minh Ky, A Fuzzy MCDM
Method to Select The Best Company Based on Financial Report Analysis,
2011 IEEE International Conference on Fuzzy Systems June 27-30, 2011,
Taipei, Taiwan
439. Po-wen Chen, Combining SVM and PSO to explore the prediction models of
Taiwan Stock Market, MSc Thesis, Graduate Institute of Information and
Logistics Management, 2010, China
440. Hu Huang, Hong-BoXie, Jing-YiGuo, Hui-JuanChen, Ant colony
optimization-based feature selection method for surface electromyography
signals classification, Computers in Biology and Medicine (2012), 42, 1, 3038.
441. Castillo-Ortega, R., Marín, N., Sánchez, D, Linguistic local change
comparison of time series. IEEE International Conference on Fuzzy
Systems, art. no. 6007409, pp. 2909-2915, 2011
442. Janaki Meena, M., Chandran, K.R., Karthik, A., Vijay Samuel, A., An
Enhanced ACO Algorithm to Select Features for Text Categorization and Its
Parallelization, Expert Systems with Applications (2012), 39, 5, 5861-5871
443. Monica Widiasri, Army Justitia, Agus Zaina Arifin, Penerapan Particle Swarm
Optimization untuk Penentuan Parameter Regularisasi pada Kernel
Regularized Discriminant Analysis, The 13th Industrial Electronics
Seminar 2011 (IES 2011), Electronic Engineering Polytechnic Institute of
Surabaya (EEPIS), Indonesia, October 26, 2011, ISBN: 978-979-8689-14-7,
61-66
444. I-Wei Kao, Chi-Yang Tsai, Yi-Chen Wang, A Novel Approach for Inventory
Classification in Two-Stage Supply Chain System, The 7th International
Conference on Computing and Information Technology, IC2IT2011
445. Binoy B. Nair, V.P. Mohandas, N.R. Sakthivel, Predicting stock market trends
using hybrid ant–colony–based data mining algorithms: an empirical
validation on the Bombay Stock Exchange, International Journal of
Business Intelligence and Data Mining, Volume 6, Number 4/2011, 362-381
446. Martin, A. Aswathy. V., V. Prassana Venkatessan, Framing Qualitative
Bankruptcy Prediction Rules Using Ant Colony Algorithm, International
Journal of Computer Applications (0975 – 8887) Volume 41– No.21,
March 2012
447. Song, Q., Effect of Leaky rate on the stability of autonomously echo state
network, Information Technology Journal 11 (7) , pp. 775-781, 2012
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
63
448. Bae, C., Yeh, W.-C., Wahid, N., Chung, Y.Y., Liu, Y., A new simplified
swarm optimization (SSO) using exchange local search scheme,
International Journal of Innovative Computing, Information and Control
8 (6) , pp. 4391-4406, 2012
449. Tsai, C.-Y., Kao, I.-W. , Particle swarm optimization with selective particle
regeneration for data clustering, Expert Systems with Applications 38 (6) ,
pp. 6565-6576, 2011
450. K. Khalili-Damghani et al., A hybrid fuzzy rule-based multi-criteria
framework for sustainable project portfolio selection, Information Sciences
(2013), 220 , pp. 442-462
451. Martin, A., Aswathy, V., Balaji, S., Lakshmi, T.M., Venkatesan, V.P. , An
analysis on qualitative bankruptcy prediction using fuzzy ID3 and ant colony
optimization algorithm, International Conference on Pattern Recognition,
Informatics and Medical Engineering, PRIME 2012 , art. no. 6208382 , pp.
416-421
452. Hatamlou, A., Hatamlou, M. , PSOHS: An efficient two-stage approach for
data clustering, Memetic Computing 5 (2) , pp. 155-161, 2013
453. Lazzús, J.A., Hybrid particle swarm-ant colony algorithm to describe the
phase equilibrium of systems containing supercritical fluids with ionic liquids,
Communications in Computational Physics 14 (1) , pp. 107-125, 2013
454. Juan A. Lazzús, Hybrid swarm optimization for vapor–liquid equilibrium
modeling, Journal of Molecular Liquids 196 (2014) 167–177
455. Sina Tabakhi, Parham Moradi, Fardin Akhlaghian, An unsupervised feature
selection algorithm based on ant colony optimization, Engineering
Applications of Artificial Intelligence 32 (2014) 112–123
456. Veenu Mangat, Renu Vig, Novel associative classifier based on dynamic
adaptive PSO: Application to determining candidates for thoracic surgery,
Expert Systems with Applications 41 (2014) 8234–8244
457. Jovanović, M., Delibašić, B., Vukićević, M., Suknović, M., Martić, M.,
Evolutionary approach for automated component-based decision tree
algorithm design, Intelligent Data Analysis, 18 (1), pp. 63-77, 2014
458. Maple, C., Prakash, E., Huang, W., Qureshi, A.N., Taxonomy of optimisation
techniques and applications, International Journal of Computer
Applications in Technology 49 (3-4), pp. 251-262, 2014
459. Huang, J., Wang, H., Wang, W., Xiong, Z., A computational study for feature
selection on customer credit evaluation, Proceedings - 2013 IEEE
International Conference on Systems, Man, and Cybernetics, SMC 2013,
6722260, pp. 2973-2978
The paper ―Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on
Genetic Algorithm Based Feature Selection and Nearest Neighbor Classification,
Computers in Biology and Medicine, 39, 1, 69-78, 2009‖ is cited by:
460. Susan Hasty, Genetics and Genomics, Women‘s Health Weekly, 23 April
2009
461. Jie Lv, Jianzhong Su, Fang Wang, Yunfeng Qi, Hongbo Liu, Yan Zhang,
Detecting Novel hypermethylated genes in Breast cancer benefiting from
feature selection, Computers in Biology and Medicine 40, (2010), 159–167.
462. Malin Björnsdotter Åberg, MACHINE LEARNING FOR IDENTIFICATION
OF BRAIN ACTIVITY PATTERNS WITH APPLICATIONS IN GENTLE
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
463.
464.
465.
466.
467.
468.
469.
470.
471.
472.
473.
64
TOUCH PROCESSING, Ph.D. Thesis, Department of Physiology Institute of
Neuroscience and Physiology the Sahlgrenska Academy University of
Gothenburg, 2009, ISBN:978-91-628-7854-2, Printed by Geson Hyltetryck,
Göteborg
R. STOEAN, C. STOEAN, M. LUPSOR, H. STEFANESCU, AND R.
BADEA, Evolutionary Conditional Rules versus Support Vector Machines
Weighted Formulas for Liver Fibrosis Degree Prediction, Annals of the
University of Craiova, Mathematics and Computer Science Series Volume
37(1), 2010, Pages 43–54 ISSN: 1223-6934
Umberto Morbiducci, Giacomo Di Benedetto, Alexandra Kautzky-Willer,
Marco A. Deriu, Giovanni Pacini, Andrea Tura, Identification of a model of
non-esterified fatty acids dynamics through genetic algorithms: The case of
women with a history of gestational diabetes, Computers in Biology and
Medicine 41 (2011) 146–153
Catalin Stoean, Ruxandra Stoean, Monica Lupsor, Horia Stefanescu, Radu
Badea Feature selection for a cooperative coevolutionary classifier in liver
fibrosis diagnosis, Computers in Biology and Medicine (2011), 41, 4, 238246.
Gorunescu, F., Belciug, S., Gorunescu, M., Badea, R., Intelligent decisionmaking for liver fibrosis stadialization based on tandem feature selection and
evolutionary-driven neural network, Expert Systems with Applications
(2012), 39, 12824-12832
Lei, Y.-G., He, Z.-J., Advances in applications of hybrid intelligent fault
diagnosis and prognosis technique, Zhendong yu Chongji/Journal of
Vibration and Shock 30 (9) , pp. 129-135
Marina E. Plissiti and Christophoros Nikou, Cervical Cell Classification Based
Exclusively on Nucleus Features, A. Campilho and M. Kamel (Eds.): ICIAR
2012, Part II, LNCS 7325, pp. 483–490, 2012. Springer-Verlag Berlin
Heidelberg 2012
Yusof, R., Khairuddin, U., Khalid, M., A new mutation operation for faster
convergence in genetic algorithm feature selection, International Journal of
Innovative Computing, Information and Control 8 (10 B) , pp. 7363-7378 ,
2012
Marina E. Plissiti and Christophoros Nikou, A Review of Automated
Techniques for Cervical Cell Image Analysis and Classification, D. Iacoviello
and U. Andreaus (eds.), Biomedical Imaging and Computational Modeling
in Biomechanics, Lecture Notes in Computational Vision and Biomechanics
4, DOI 10.1007/978-94-007-4270-3_1, Springer Science+Business Media
Dordrecht 2013
Asli Genctav, Selim Aksoy, Sevgen Onder, Unsupervised segmentation and
classification of cervical cell images, Pattern Recognition, 45(12), 41514168.
Özçift, A., Gülten, A., Genetic algorithm wrapped Bayesian network feature
selection applied to differential diagnosis of erythemato-squamous diseases,
Digital Signal Processing: A Review Journal 23 (1) , pp. 230-237, 2013
Luz Helena Camargo Casallas, Classification of squamous cell cervical
cytology, Thesis submitted in partial fulfillment of the requirements for
the degree of: Magister en Ingeniera Biomedica, Universidad Nacional de
Colombia Departamento de Imagenes Diagnosticas Bogota D.C., Colombia
2012
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
65
474. Chen, Y. , Huang, P. , Lin, K. , Wang, L., Semi-Automatic Segmentation and
Classification of Pap Smear Cells, IEEE Journal of Biomedical and
Health Informatics, (Volume:18 , Issue: 1 ), 2014, 94-108
475. Kardan, A.A., Kavian, A., Esmaeili, A., Simultaneous feature selection and
feature weighting with K Selection For KNN classification Using BBO
Algorithm, IKT 2013 - 2013 5th Conference on Information and
Knowledge Technology , art. no. 6620092 , pp. 349-354
476. Juan Valentín Lorenzo-Ginori, Wendelin Curbelo-Jardines, José Daniel
López-Cabrera, and Sergio B. Huergo-Suárez, Cervical Cell Classification
Using Features Related to Morphometry and Texture of Nuclei, J. RuizShulcloper and G. Sanniti di Baja (Eds.): CIARP 2013, Part II, LNCS 8259,
pp. 222–229, 2013. © Springer-Verlag Berlin Heidelberg 2013
477. Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Xinmin Fan, Tianfu
Wang, Siping Chen, Automation-Assisted Cervical Cancer Screening in
Manual Liquid-Based Cytology With Hematoxylin and Eosin Staining,
Cytometry Part A, DOI: 10.1002/cyto.a22407, 2013
478. Kalliopi V. Dalakleidi, Konstantia Zarkogianni, Vassilios G. Karamanos,
Anastasia C. Thanopoulou and Konstantina S. Nikita, A Hybrid Genetic
Algorithm for the Selection of the Critical Features for Risk Prediction of
Cardiovascular Complications in Type 2 Diabetes Patients, 2013 IEEE 13th
International Conference on Bioinformatics and Bioengineering (BIBE),
10-13 Nov. 2013, Chania, Greece, IEEE DOI: 10.1109/BIBE.2013.6701620
479. Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Zhi Chen,Tianfu
Wang, Siping Chen, Segmentation of cytoplasm and nuclei of abnormal cells
in cervicalcytology using global and local graph cuts, Computerized Medical
Imaging and Graphics 38 (2014) 369–380
480. Alain Rakotomamonjy, Caroline Petitjean, Mathieu Salaün, Luc Thiberville,
Scattering features for lung cancer detection in fibered confocalfluorescence
microscopy images, Artificial Intelligence in Medicine 61 (2014) 105–118
481. Zhang, L., Kong, H., Chin, C.T., Wang, T., Chen, S., Cytoplasm segmentation
on cervical cell images using graph cut-based approach, Bio-Medical
Materials and Engineering, 24 (1), pp. 1125-1131, 2014
482. Guan, D., Yuan, W., Lee, Y.-K., Najeebullah, K., Rasel, M.K., A review of
ensemble learning based feature selection, IETE Technical Review
(Institution of Electronics and Telecommunication Engineers, India), 31
(3), pp. 190-198, 2014
483. Chen, Y.-F., Huang, P.-C., Lin, K.-C., Chan, Y.-K., Chiang, J.Y., Semiautomatic segmentation and classification of pap smear cells, IEEE Journal
of Biomedical and Health Informatics, 18 (1), 6482573, pp. 94-108, 2014
The paper ―An Evolutionary Approach to Construction of Outranking Models for
Multicriteria Classification: The Case of the ELECTRE TRI Method, European
Journal of Operational Research, 199, 496-505, 2009‖ is cited by:
484. Fasanghari, M.; Mohamedpour, M.; Mohamedpour, M.A., A Novel Method
Combining ORESTE, Fuzzy Set Theory, and TOPSIS Method for Ranking the
Information and Communication Technology Research Centers of Iran. Sixth
International Conference on Information Technology: New Generations,
2009. ITNG '09. 27-29 April 2009, Page(s): 165-170, Digital Object Identifier
10.1109/ITNG.2009.202
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
66
485. Fernandez E, Lopez, E., Bernal, S., Coello Coello, C.A., Navarro, J.
Evolutionary multiobjective optimization using an outranking-based
dominance generalization. Computers and Operations Research (2010), 37,
2, 390-395.
486. Feras Al-Obeidat, Nabil Belacel, Juan A. Carretero, Prabhat Mahanti,
Differential Evolution for Learning the Classification Method PROAFTN,
Knowledge-Based Systems, (2010), 23, 5, 418-426.
487. Chrysovalantis Gaganis, Fotios Pasiouras, Michael Doumpos and Constantin
Zopounidis, Modelling banking sector stability with multicriteria approaches,
Optimization Letters, (2010), 4, 4, 543-558.
488. Michael Doumpos and Constantin Zopounidis, Preference Disaggregation
and Statistical Learning for Multicriteria Decision Support: A Review,
European Journal of Operational Research, (2011), 209, 3, 203-214.
489. Chun-Che Huang, Tzu-Liang (Bill) Tseng, Horng-Fu Chuang, Ying-Ling
Hsieh, Attribute-Oriented Rule Induction Using Rough Set Theory: A Case
Study of Customer Relationship Management, International Conference
on Business and Information, July 5-7, 2010, Rihga Royal Hotel Kokura,
Kitakyushu, Japan
490. Michael Doumpos and Constantin Zopounidis, Disaggregation Analysis and
Statistical Learning: An Integrated Framework for Multicriteria Decision
Support, Handbook of Multicriteria Analysis, Vol 103, pp. 215-240,
Springer, 2010.
491. Jose Rui Figueira, Salvatore Greco, Bernard Roy and Roman Słowiński,
ELECTRE Methods: Main Features and Recent Developments, Handbook of
Multicriteria Analysis, Vol 103, pp. 51-89, Springer, 2010.
492. E. Fernandez, E. Lopez, F. Lopez, C.A. Coello Coello, Increasing selective
pressure towards the best compromise in evolutionary multiobjective
optimization: The extended nosga method, Information Sciences (2011), 181,
1, 44-56.
493. Jaroslaw Arabas, Adam Szczepankiewicz, and Tomasz Wroniak,
Experimental Comparison of Methods to Handle Boundary Constraints in
Differential Evolution, R. Schaefer et al. (Eds.): PPSN XI, Part II, LNCS
6239, pp. 411–420, 2010, Springer-Verlag Berlin Heidelberg 2010
494. Hatami-Marbini A, Tavana M. An extension of the Electre I method for group
decision-making under a fuzzy environment. Omega (2011), 39, 4, 373-386.
495. Chung, Wingyan and Tseng, Tzu-Liang (Bill), "Extracting Business
Intelligence from Online Product Reviews: An Experiment of Automatic RuleInduction" (2010). ICIS 2010 Proceedings. Paper 233.
496. Fernandez, E., Navarro, J., A new approach to multi-criteria sorting based on
fuzzy outranking relations: the theseus method, European Journal of
Operational Research (2011), 213, 2, 405-413
497. Michael Doumpos and Constantin Zopounidis, A Multicriteria Outranking
Modeling Approach for Credit Rating, Decision Sciences, A Journal of the
Decision Science Institute, Volume 42, Number 3, 721-742, August 2011
498. Jun Zheng, Olivier Cailloux, and Vincent Mousseau, Constrained Multicriteria
Sorting Method Applied to Portfolio Selection, R.I. Brafman, F. Roberts, and
A. Tsoukias (Eds.): ADT 2011, LNAI 6992, pp. 331–343, 2011. SpringerVerlag Berlin Heidelberg 2011
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
67
499. M. MEDINECKIENE, E.K. ZAVADSKAS, Z. TURSKIS, Dwelling selection
by applying fuzzy game theory, ARCHIVES OF CIVIL AND
MECHANICAL ENGINEERING, Vol. XI, No. 3, 2011, 681-697
500. Eduardo Fernández González, Edy López Cervantes, Jorge Navarro Castillo e
Inés Vega López, Application of Multi-Objective Metaheuristics to Public
Portfolio Selection Through Multidimensional Modelling of Social Return,
Gestión y Política Pública, VOLUMEN XX . NÚMERO 2 . II SEMESTRE
DE 2011 . PP. 381-432
501. Dimitrios Andriosopoulos, Chrysovalantis Gaganis, Fotios Pasiouras and
Constantin Zopounidis, An application of multicriteria decision aid models in
the prediction of open market share repurchases, Omega, (2012), 40, 6, 882890
502. Gilberto Rivera, Claudia G. Gómez, Eduardo R. Fernández, Laura Cruz, Oscar
Castillo, and Samantha S. Bastiani, Handling of Synergy into an Algorithm for
Project Portfolio Selection O. Castillo et al. (Eds.): Recent Advances on
Hybrid Intelligent Systems, SCI 451, pp. 417–430, © Springer-Verlag Berlin
Heidelberg 2013
503. Rolland, A., Reference-based Preferences Aggregation Procedures in
Multicriteria Decision Making, European Journal of Operational Research
(2013), 225(3), 479-486
504. S. Silas, E.B. Rajsingh, K. Ezra, Efficient Service Selection Middleware using
ELECTRE methodologies for cloud environments, Information Technology
Journal, 2012, 11(7), 868-875
505. Chung, W., Tseng, T-L., Discovering Business Intelligence from Online
Product Reviews: ARule-InductionFramework, Expert Systems with
Applications (2012), 39(15), 11870-11879.
506. Sousa, R., Yevseyeva, I., Da Costa, J.F.P., Cardoso, J.S. , Multicriteria models
for learning ordinal data: A literature review, Studies in Computational
Intelligence 427 , pp. 109-138, 2013
507. Valentina Minnetti, Renato De Leone, The Estimation Of The Parameters Of
The Electre Tri Method: A Proposal Of A New Two Step Procedure, 43rd
Annual Conference of the Italian Operational Research Society Graph
Algorithms and Optimization Vietri sul Mare (SA), September 4-7 2012
508. Olivier SOBRIE and Marc PIRLOT, Implementation of ELECTRE TRI in an
Open Source GIS, European Working Group ―Multiple Criteria Decision
Aiding‖, Series 3, nº26, Fall 2012, 14-18.
509. Fernandez Eduardo, Navarro Jorge, Mazcorro Gustavo, Evolutionary multiobjective optimization for inferring outranking model‘s parameters under
scarce reference information and effects of reinforced preference,
Foundations of Computing and Decision Sciences, 2012, 37(3), 163-197.
510. Fernandez, E., Lopez, E., Mazcorro, G., Olmedo, R., Coello Coello, C.A.,
Application of the non-outranked sorting genetic algorithm to public project
portfolio selection, Information Sciences 228 , pp. 131-149, 2013
511. José Rui Figueira, Salvatore Greco, Bernard Roy, Roman Słowiński, An
Overview of ELECTRE Methods and their Recent Extensions, Journal of
Multi-Criteria Decision Analysis, Volume 20, Issue 1-2, pages 61–85,
January-April 2013
512. Jun ZHENG, Preference Elicitation for Aggregation Models based on
Reference Points : Algorithms and Procedures, Ph.D. Thesis, ÉCOLE
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
513.
514.
515.
516.
517.
518.
519.
520.
521.
68
CENTRALE DES ARTS ET MANUFACTURES « ÉCOLE CENTRALE
PARIS », 2012
Sobrie, O., Mousseau, V., Pirlot, M., Learning a majority rule model from
large sets of assignment examples, Lecture Notes in Computer Science
(including subseries Lecture Notes in Artificial Intelligence and Lecture Notes
in Bioinformatics) 8176 LNAI , pp. 336-350, 2013.
Marco Corazza, Stefania Funari, and Riccardo Gusso, A Methodological
Proposal for an Evolutionary Approach to Parameter Inference in MURAMEBased Problems, S. Bassis et al. (eds.), Recent Advances of Neural Network
Models and Applications, Smart Innovation, Systems and Technologies
26, DOI: 10.1007/978-3-319-04129-2_8, © Springer International Publishing
Switzerland 2014, 75-86
Salaja S, Novel service selection frameworks for pervasive environment and
its analysis in health care and social network services, Ph.D. Thesis,
Department of Computer Science and Technology, Karunya University, 2012
Laura Cruz, Eduardo R. Fernandez, Claudia G. Gomez and Gilberto Rivera,
Multicriteria optimization of interdependent project portfolios with ‗a priori‘
incorporation of decision maker preferences, Eureka-2013. Fourth
International Workshop Proceedings, Published by Atlantis Press, 169-178.
Laura Cruz-Reyes, Eduardo Fernandez, Rafael Olmedo, Patricia Sanchez,
Jorge Navarro, Preference Incorporation into Evolutionary Multiobjective
Optimization using Preference Information Implicit in a Set of Assignment
Examples, Eureka-2013. Fourth International Workshop Proceedings,
Published by Atlantis Press, 179-187
Jun Zheng, Stéphane Aimé Metchebon Takougang, Vincent Mousseau, Marc
Pirlot, Learning criteria weights of an optimistic ELECTRE TRI sorting rule,
Computers & Operations Research 49 (2014) 28–40.
Cruz, L., Fernandez, E., Gomez, C., Rivera, G., Perez. F. Many-objective
portfolio optimization of interdependent projects with 'a priori' incorporation
of decision-maker preferences, Applied Mathematics and Information
Sciences 8 (4), pp. 1517-1531, 2014
Fernández, E., Navarro, J., Mazcorro, G. An evolutionary multi-objective
algorithm for inferring parameters in outranking-based decision models: The
case of the electre 3 method, Studies in Computational Intelligence 537, pp.
397-413, 2014
Corazza, M., Funari, S., Gusso, R., Particle Swarm Optimization for
preference disaggregation in multicriteria credit scoring problems,
Mathematical and Statistical Methods for Actuarial Sciences and
Finance, pp. 119-130, 2014
The paper ―Evolution of the Population of a Genetic Algorithm using Particle Swarm
Optimization. Application to Clustering Analysis, Operational Research, An
International Journal, 9, 105-120, 2009‖ is cited by:
522. Zidan Shan, A Self-Adapting Improvement Particles Swarm Optimization
Algorithm and Application in Multi-Criteria Group Decision-making, 2011
International Conference on Electronic & Mechanical Engineering and
Information Technology, 12-14 August 2011 978-l-61284-088-8/ll/$26.00
©2011 IEEE, 670-673.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
69
The paper ―Intelligent and Nature Inspired Optimization Methods in Medicine: The
Pap-Smear Cell Classification Problem‖, Expert Systems. The Journal of Knowledge
Engineering, 26, 5, 433-457, 2009‖ is cited by:
523. Satchidananda Dehuri, Rahul Roy, Sung-Bae Cho, Ashish Ghosh, An
Improved Swarm Optimized Functional Link Artificial Neural Network (ISOFLANN) for Classification, The Journal of Systems & Software (2012), 85,
6, 1333-1345.
524. Emilio Corchado, Javier Sedano, Leticia Curiel and Jose R. Villar, Optimizing
the operating conditions in a high precision industrial process using soft
computing techniques, Expert Systems. The Journal of Knowledge
Engineering, 29 (3) , pp. 276-299, 2012
The paper ―Multiple Phase Neighborhood Search GRASP based on Lagrangean
Relaxation, Random Backtracking Lin-Kernighan and Path Relinking for the
Traveling Salesman Problem‖, Journal of Combinatorial Optimization, 17, 134-156,
2009‖ is cited by:
525. Wenjun Wang, Improved Genetic Algorithm for Vehicle Routing Problem with
Time Windows, 2010 International Conference on Intelligent Computing
and Cognitive Informatics
526. Yun Yao Li, Chang Shi Liu, An Effective Genetic Algorithm for the Vehicle
Routing Problem with Multiple Depots, Advanced Materials Research
(Volumes 204 - 210), 283-287, DOI: 10.4028/www.scientific.net/AMR.204210.283, February 2011
527. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Peihua, Solving material distribution routing problem in mixed manufacturing
systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South
Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer
528. Paola Festa and Mauricio G.C. Resende, Hybridizations of GRASP with PathRelinking, E.-G. Talbi (Ed.): Hybrid Metaheuristics, SCI 434, pp. 135–155,
Springer-Verlag Berlin Heidelberg 2013
529. Luo, J., Hu, Y., A new GRASP and path relinking for single machine
scheduling with sequence dependent setups, IEEE International Conference
on Control and Automation, ICCA , art. no. 6565014 , pp. 490-495 , 2013
530. Misevičius, A., Blaţinskas, A., Lenkevičius, A., Modified local search
heuristics for the symmetric traveling salesman problem, Information
Technology and Control 42 (3) , pp. 217-230, 2013
The paper ―A Stochastic Nature Inspired Metaheuristic for Clustering Analysis,
International Journal of Business Intelligence and Data Mining, 3, 1, 30-44, 2008‖ ‖
is cited by:
531. J.Arunadevi, Dr.V.Rajamani, Optimized routing in Mobile Ad Hoc Networks
using Evolutionary Location Intelligence, Second International Conference
on Computing, Communication and Networking Technologies, Karur,
Tamilandu, India, 29-31 July 2010.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
70
532. J.Arunadevi, Dr.V.Rajamani, Optimized routing in Mobile Ad Hoc Networks
using Evolutionary Location Intelligence, IJCA Special Issue on Mobile Ad
Hoc Networks, 2010, 120-123.
533. Ahmad, Waseem, Narayanan, Ajit (2010) Humoral-mediated clustering,
IEEE Fifth International Conference on Bio-Inspired Computing:
Theories and Applications (BIC-TA), DΟΗ: 10.1109/BICTA.2010.5645279
Publication Year: 2010 , Page(s): 1471 - 1481
534. Waseem Ahmad, Ajit Narayanan, Humoral Artificial Immune System (HAIS)
For Supervised Learning, 2010 Second World Congress on Nature and
Biologically Inspired Computing Dec. 15-17, 2010 in Kitakyushu, Fukuoka,
Japan
535. Waseem Ahmad, Ajit Narayanan, Humoral Outlier Detection using Humoralmediated Clustering (HAIS) 2010 Second World Congress on Nature and
Biologically Inspired Computing Dec. 15-17, 2010 in Kitakyushu, Fukuoka,
Japan
536. Waseem Ahmad and Ajit Narayanan, Population-Based Artificial Immune
System Clustering Algorithm, P. Liò, G. Nicosia, and T. Stibor (Eds.):
ICARIS 2011, LNCS 6825, pp. 348–360, 2011. © Springer-Verlag Berlin
Heidelberg 2011
537. Waseem Ahmad and Ajit Narayanan, Principles and Methods of Artificial
Immune System Vaccination of Learning Systems, P. Liò, G. Nicosia, and T.
Stibor (Eds.): ICARIS 2011, LNCS 6825, pp. 268–281, 2011. © SpringerVerlag Berlin Heidelberg 2011
538. Waseem Ahmad and Ajit Narayanan, Humoral Artificial Immune System
(HAIS) for supervised learning, International Journal of Computational
Intelligence and Applications 11 (1) , art. no. 1250004, 2012
539. Waseem Ahmad and Ajit Narayanan, Outlier detection using humoralmediated clustering (HAIS), International Journal of Computational
Intelligence and Applications 11 (1) , art. no. 1250003, 2012
540. Binoy B. Nair, V.P. Mohandas, N.R. Sakthivel, Predicting stock market trends
using hybrid ant–colony–based data mining algorithms: an empirical
validation on the Bombay Stock Exchange, International Journal of
Business Intelligence and Data Mining, Volume 6, Number 4/2011, 362-381
541. Chun-Wei Tsai, Ko-Wei Huang, Chu-Sing Yang, Ming-Chao Chiang, A fast
particle swarm optimization for clustering, Soft Comput DOI
10.1007/s00500-014-1255-3
542. Pazouki, M., Sepehri, M.M., Saberifiroozi, M., Discovering hidden cluster
structures in patients with cirrhosis based on laboratory data, Govaresh, 19
(3), pp. 191-197, 2014
The paper ―A Particle Swarm Optimization Algorithm with Path Relinking for the
Location Routing Problem, Journal of Mathematical Modelling and Algorithms, 7, 1,
59-78, 2008‖ is cited by:
543. Vincent Gardeux, Optimisation par Essaim Particulaire, Memoire Adaptative,
Reserche Tabu, Thesis, Paris, 2008
544. Dalila Benedita Machado Martins Fontes, António Gaspar Lopes da Cunha,
Carlos Manuel Milheiro de Oliveira Pinto Soares, Fernando Arménio da Costa
Castro e Fontes, Jorge Miguel Silva Valente, Maria do Rosário Mota de
Oliveira Alves Moreira, Rui Alberto Ferreira Santos Alves, FCT Project
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
545.
546.
547.
548.
549.
550.
551.
552.
553.
554.
555.
556.
557.
558.
71
PTDC/EGE-GES/099741/2008, Evolutionary algorithms for Decision
Problems in Management Science.
Shih-Wei Lin, Vincent F. Yu, Wenyih Lee, Ching-Jung Tig, Solving the
Location Routing Problem Based on a Simulated Annealing Heuristic, POMS
20th Annual Conference Orlando, Florida U.S.A. May 1 to May 4, 2009
Vincent F. Yu, Shih-Wei Lin, Wenyih Lee, Ching-Jung Tig, A Simulated
Annealing Heuristic for the Capacitated Location Routing Problem,
Computers and Industrial Engineering, (2010), 58, 2, 288-299.
Frank Plastria, Comments on: Routing problems with loading constraints, Top
(2010) 18: 34–35, DOI 10.1007/s11750-010-0142-z
Matheus Rosendo, and Aurora Pozo, Applying a Discrete Particle Swarm
Optimization Algorithm to Combinatorial Problems, 2010 Eleventh Brazilian
Symposium on Neural Networks, 2010
Rosendo, Matheus; Pozo, Aurora; A hybrid Particle Swarm Optimization
algorithm for combinatorial optimization problems 2010 IEEE Congress on
Evolutionary
Computation
(CEC),
Digital
Object
Identifier:
10.1109/CEC.2010.5586178 Publication Year: 2010 , Page(s): 1 – 8
Matheus Rosendo, Um Algoritmo de Otimizacao por nuvem de Particulas de
problemas combinatorios, Phd thesis, Universida de federal do Parana,
Curitiba 2010
Aras, Necati; Aksen, Deniz; Tekin, Tugrul; Location and selective routing
problem with pricing for the collection of used products. 40th International
Conference on Computers and Industrial Engineering (CIE), Publication
Year: 2010, Page(s): 1 – 6, DOI: 10.1109/ICCIE.2010.5668217.
Karaoglan, I., Altiparmak, F., Kara, I., Dengiz, B., A Branch and Cut
Algorithm for the Location-Routing Problem with Simultaneous Pickup and
Delivery, European Journal of Operational Research (2011), 211, 318-332
Fazel Zarandi, M.H., Hemmati, A., Davari, S., The Multi-depot Capacitated
Location-Routing Problem with Fuzzy Travel Times, Expert Systems with
Applications (2011), 38, 8, 10075-10084.
Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in
Supply Chain Management: A Review of Selected Methods and Applications,
in Supply Chain Optimization, Design, and Management: Advances and
Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios
Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI:
10.4018/9781615206339.ch001
Marina Yusoff, Junaidah Ariffin, and Azlinah Mohamed, A Multi-valued
Discrete Particle Swarm Optimization for the Evacuation Vehicle Routing
Problem, Y. Tan et al. (Eds.): ICSI 2011, Part I, LNCS 6728, pp. 182–193,
2011. © Springer-Verlag Berlin Heidelberg 2011
Marina Yusoff, Junaidah Ariffin, and Azlinah Mohamed, Discrete Particle
Swarm Optimization for Solving a Single to Multiple Destinations in
Evacuation Planning, Recent Researches in Computational Techniques,
Non-Linear Systems and Control, ISBN: 978-1-61804-011-4, 270-276
Rui Jorge Ferreira Soares Borges Lopes, Location-Routing Problems of SemiObnoxious Facilities: Approaches and Decision Support, Ph.D. Thesis,
Departamento de Economia, Gestão e Engenharia Industrial, Universidade de
Aveiro 2011
Ali Bozorgi-Amiri, Mohammad Saeid Jabalameli, Mehdi Alinaghian, Mahdi
Heydari, A modified particle swarm optimization for disaster relief logistics
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
559.
560.
561.
562.
563.
564.
565.
566.
567.
568.
569.
570.
571.
572.
72
under uncertain environment, International Journal of Advanced
Manufacturing Technology, (2012), 60, 1-4, 357-371.
Ismail Karaoglan, Fulya Altiparmak, Imdat Kara and Berna Dengiz, The
location-routing problem with simultaneous pick up and delivery:
Formulations and a heuristic approach, Omega, (2012), 40, 4, 465-477.
Su, S., Yu, S., Ma, Y., Yang, Y., Xu, H., Routing on a spherical surface using
hybrid PSO, Communications in Computer and Information Science 237
CCIS, 2011, pp. 43-51, © Springer-Verlag Berlin Heidelberg 2011
Nadizadeh, A., Sahraeian, R., Zadeh, A.S., Homayouni, S.M., Using greedy
clustering method to solve capacitated location-routing problem, African
Journal of Business Management 5 (21), pp. 8470-8477, 2011
Mohammad Mahdi Nasiri, A pseudo particle swarm optimization for the
RCPSP, International Journal of Advanced Manufacturing Technology,
(2013), 65, 909-918, DOI 10.1007/s00170-012-4227-8
M.H.F. Zarandi, A. Hemmati, S. Davari, I. Burhan Turksen, Capacitated
location-routing problem with time windows under uncertainty, KnowledgeBased Systems (2013), 37 , pp. 480-489
Ching-Jung Ting and Chia-Ho Chen, A Multiple Ant Colony Optimization
Algorithm for the Capacitated Location Routing Problem, International
Journal Production Economics, 141 (1) , pp. 34-44
Lopes, R.B., Ferreira, C., Santos, B.S., Barreto, S., A taxonomical analysis,
current methods and objectives on location-routing problems, International
Transactions in Operational Research 20 (6) , pp. 795-822, 2013
Mohammadi, M., Razmi, J., Tavakkoli-Moghaddam, R., Multi-objective
invasive weed optimization for stochastic green hub location routing problem
with simultaneous pick-ups and deliveries, Economic Computation and
Economic Cybernetics Studies and Research 47 (3) , pp. 247-266
Martínez-Salazar, I.A., Molina, J., Ángel-Bello, F., Gómez, T., Caballero, R. ,
Solving a bi-objective transportation location routing problem by
metaheuristic algorithms, European Journal of Operational Research 234
(1) , pp. 25-36, 2014
Sahar Validi, Arijit Bhattacharya & P.J. Byrne Integrated low-carbon
distribution system for the demand side of a product distribution supply chain:
a DoE-guided MOPSO optimiser-based solution approach, International
Journal of Production Research, 52(10), 3074-3096, DOI:
10.1080/00207543.2013.864054, 2014
Karaoglan I, Altiparmak F. A memetic algorithm for the capacitated locationrouting problem with mixed backhauls. Computers and Operations
Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.009i
Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A solution method for a twolayer sustainable supply chain distribution model, Computers and
Operations Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.015i
Vincent F. Yu, Shin-Yu Lin, A simulated annealing heuristic for the open
location-routing problem, Computers & Operations Research, http:
//dx.doi.org/10.1016/j.cor.2014.10.009
Zarandi, M.H.F., Hemmati, A., Davari, S., Turksen, I.B., A simulated
annealing algorithm for routing problems with fuzzy constrains, Journal of
Intelligent and Fuzzy Systems, 26 (6), pp. 2649-2660, 2014
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
73
The paper ―A Hybrid Stochastic Genetic GRASP Algorithm for Clustering Analysis,
Operational Research, An International Journal, 8, 1, 33-46, 2008‖ is cited by:
573. Dervis Karaboga and Celal Ozturk, A Novel Clustering Approach: Artificial
Bee Colony (ABC) Algorithm, Applied Soft Computing, 2011, 11, 1, 652657.
574. Maria Cristina Vasconcelos Nascimento, Metaheuristicas para o problema de
agrupamento de dados em grafo, Ph.D. Instituto de Ciencias Matematicas e de
Computacao – ICMC-USP, 2010, Brazil
575. J. Senthilnath, S.N. Omkar, V. Mani, Clustering using firefly algorithm:
Performance study, Swarm and Evolutionary Computation (2011), 1, 3,
164-171.
576. J. Senthilnath, Vipul Das, S.N. Omkar, V. Mani, Clustering using Levy Flight
Cuckoo Search, J. C. Bansal et al. (eds.), Proceedings of Seventh
International Conference on Bio-Inspired, Computing: Theories and
Applications (BIC-TA 2012), Advances in Intelligent Systems and
Computing 202, DOI: 10.1007/978-81-322-1041-2 ΢ Springer India 2013,
65-75
577. Hoseinkhani, F. , Parcham, E. , Pournazary, M. , Borzue, N., Speech
Recognition by Classifying Speech Signals Based on the Fire Fly and Fuzzy,
Advanced International Conference on Computer Science
Applications and Technologies (ACSAT), 2012 , 26-28 Nov. 2012, 187191, Kuala Lumpur
578. Zeev Volkovich, Gerhard–Wilhelm Weber, Renata Avros, Orly Yahalom, On
an adjacency cluster merit approach International Journal of Operational
Research, Volume 13, Number 3/2012, 239-255
579. José Augusto Fioruci, Franklina M.B. Toledo, Mariá Cristina V. Nascimento
Heuristics for minimizing the maximum within-clusters distance, Pesquisa
Operacional,
vol.32 no.3 Rio
de
Janeiro Sept./Dec. 2012,
http://dx.doi.org/10.1590/S0101-74382012005000023
The paper ―Particle Swarm Optimization for Pap-Smear Diagnosis, Expert Systems
with Applications, 35, 1645-1656, 2008‖ is cited by:
580. Ioannis Vlahavas, Aristidis Likas and Georgios Paliouras (2008), Machine
Learning and Neural Networks, Special Edition of EETN.
581. Mohamed JEBALIA, “Optimisation par Stratégies d‘Évolution: Convergence
et vitesses de convergence pour des fonctions bruitées - Résolution d‘un
problème d‘identification‖, Ph.D. Thesis, THÈSE DE DOCTORAT DE
L‘ÉCOLE POLYTECHNIQUE DE TUNISIE & L‘UNIVERSITÉ PIERRE
ET MARIE CURIE, 2008
582. Seyed-Hamid Zahiri and Seyed-Alireza Seyedin, Using Multi-Objective
Particle Swarm Optimization for Designing Novel Classifiers, Studies in
Computational Intelligence, Swarm Intelligence for Multi-objective
Problems in Data Mining, 2009, Vol 242, 65-92.
583. Alejandro Cervantes Rovira, Clasificacion mediante Enjambre de Prototipos,
Ph. D. Thesis, Universidad Carlos III de Madrid Departamento de
Informatica, 2009
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
74
584. Torun, Y. Tohumoglu, G. , A new fuzzy classifier based on simulated
annealing and subtractive clustering, 17th IEEE Conference on Signal
Processing and Communications Applications, 2009. SIU 2009.
585. dos Santos Coelho, L., Gaussian Quantum-Behaved Particle Swarm
Optimization Approaches for Constrained Engineering Design Problems,
Expert Systems with Applications (2010), 37, 1676-1683
586. Loris Nanni, Alessandra Lumini, Sheryl Brahnam, Local binary patterns
variants as texture descriptors for medical image analysis. Artificial
Intelligence in Medicine (2010), 49, 2, 117-125.
587. Jingzheng Ren, Shiyu Tan, Lichun Dong, Siran He, Xiao Ji, Optimization of
the Reflux Ratio for a Stage Distillation Column Based on an Improved
Particle Swarm Algorithm, Chemical and Process Engineering, 2010, 31,
15–24
588. Noor A. Samsudin and Andrew P. Bradley, Nearest neighbour group based
classification, Pattern Recognition, 43, 10, 3458-3467.
589. Torun, Y. Tohumoglu, G., Designing Simulated Annealing and Subtractive
clustering based fuzzy classifier, Applied Soft Computing (2011), 11, 2,
2193-2201.
590. Dexuan Zou, Liqun Gao, Jianhua Wu and Steven Li, Novel global harmony
search algorithm for unconstrained problems, Neurocomputing, (2010), 73,
16-18, 3308-3318.
591. Nanni, L., Brahnam, S., Lumini, A., Combining different Local Binary Pattern
variants to boost performance, Expert Systems with Applications (2011), 38,
5, 6209-6216.
592. Plissiti, M.E., Nikou, C., Charchanti, A., Combining Shape, Texture and
Intensity Features for Cell Nuclei Extraction in Pap Smear Images, Pattern
Recognition Letters (2011), 32, 6, 838-853.
593. Cheng, Z., Ma, Y., Control chart pattern recognition based on PSO and LSSVM, Transactions Hong Kong Institution of Engineers, Volume 17, Issue
1, March 2010, Pages 7-10
594. H. Kahramanli, N. Allahverdi, Particle Swarm Optimization with Flexible
Swarm for Solving Constrained Optimization Problems, 6th International
Advanced Technologies Symposium (IATS’11), 16-18 May 2011, Elazığ,
Turkey
595. Ehsan Valian, Shahram Mohanna and Saeed Tavakoli, IMPROVED
CUCKOO SEARCH ALGORITHM FOR FEEDFORWARD NEURAL
NETWORK TRAINING, International Journal of Artificial Intelligence &
Applications (IJAIA), Vol.2, No.3, July 2011, 36-43
596. Loris Nanni, Sheryl Brahnam, Alessandra Lumini, A simple method for
improving local binary patterns by considering non-uniform patterns, Pattern
Recognition, http://dx.doi.org/10.1016/j.patcog.2012.04.007
597. Miloslav Hajek and Yashik Singh, Medical AI–HIV/AIDS Treatment
Management System, Beyond AI: Interdisciplinary Aspects of Artificial
Intelligence, Jan Romportl, Pavel Ircing, Eva Zackova, Radek Schuster,
Michal Polak, Proceedings of The International Conference Beyond AI 2011
Pilsen, Czech Republic, December 8–9, 2011
598. Marina E. Plissiti and Christophoros Nikou, Cervical Cell Classification Based
Exclusively on Nucleus Features, A. Campilho and M. Kamel (Eds.): ICIAR
2012, Part II, LNCS 7325, pp. 483–490, 2012. Springer-Verlag Berlin
Heidelberg 2012
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
75
599. Marina E. Plissiti and Christophoros Nikou, A Review of Automated
Techniques for Cervical Cell Image Analysis and Classification, D. Iacoviello
and U. Andreaus (eds.), Biomedical Imaging and Computational Modeling
in Biomechanics, Lecture Notes in Computational Vision and Biomechanics
4, DOI 10.1007/978-94-007-4270-3_1, Springer Science+Business Media
Dordrecht 2013
600. Rodríguez-González, A., Torres-Niño, J., Hernández-Chan, G., JiménezDomingo, E., Alvarez-Rodríguez, J.M., Using Agents to Parallelize a Medical
Reasoning System Based on Ontologies and Description Logics as an
Application Case, Expert Systems with Applications (2012), 39 (18) , pp.
13085-13092
601. C. Bergmeir, M.G. Silvente, J.M. Benítez., Segmentation of cervical cell
nuclei in high-resolution microscopic images: A new algorithm and a webbased software framework, Comput. Methods Programs Biomed. (2012),
107 (3) , pp. 497-512
602. Leitao, P., Barbosa, J., Trentesaux, D, Bio-inspired multi-agent systems for
reconfigurable manufacturing systems. Engineering Applications of
Artificial Intelligence (2011), 25 (5) , pp. 934-944
603. Zhao, J., Han, C., Han, D., Wei, B. , A multi-population univariate marginal
distribution algorithm for feature selection, 2012 Spring World Congress on
Engineering and Technology, SCET 2012 - Proceedings , art. no. 6342084
604. Plissiti, M.E., Nikou, C., Overlapping cell nuclei segmentation using a
spatially adaptive active physical model, IEEE Transactions on Image
Processing 21 (11) , art. no. 6226464 , pp. 4568-4580, 2012
605. Zhao, J., Han, C., Wei, B., Zhao, Q., Xiao, P., Zhang, K. , Feature selection
based on particle swarm optimal with multiple evolutionary strategies, 15th
International Conference on Information Fusion, FUSION 2012 , art. no.
6289906 , pp. 963-968
606. Ruoping, L., Xiangyong, K., Liqun, G., Dexuan, Z., Practicably optimal point
and its solution in deterministic system, Applied Mechanics and Materials
190-191 , pp. 143-146, 2012
607. Luz Helena Camargo Casallas, Classification of squamous cell cervical
cytology, Thesis submitted in partial fulfillment of the requirements for
the degree of: Magister en Ingeniera Biomedica, Universidad Nacional de
Colombia Departamento de Imagenes Diagnosticas Bogota D.C., Colombia
2012
608. H. Kahramanli, N. Allahverdi, Particle Swarm Optimization with Flexible
Swarm for Solving Constrained Optimization Problems, International
Journal of Intelligent Systems and Applications in Engineering, 1, 1, 2013
609. Ahmed Ahmed El-Sawy, Elsayed M. Zaki, and R. M. Rizk-Allah, Hybridizing
Ant colony Optimization With Firefly Algorithm For Unconstrained
Optimization Problems, The Online Journal on Computer Science and
Information Technology (OJCSIT), Vol. (3), No. (3), 185-193
610. Cervante, L., Xue, B., Shang, L., Zhang, M., Binary particle swarm
optimisation and rough set theory for dimension reduction in classification,
2013 IEEE Congress on Evolutionary Computation, CEC 2013, art. no.
6557860 , pp. 2428-2435
611. Rizk-Allah, R.M., Zaki, E.M., El-Sawy, A.A., Hybridizing ant colony
optimization with firefly algorithm for unconstrained optimization problems,
Applied Mathematics and Computation 224 , pp. 473-483, 2013
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
76
612. Bing Xue, Mengjie Zhang, Will N. Browne, Particle Swarm Optimisation for
Feature Selection in Classification: Novel Initialisation and Updating
Mechanisms, Applied Soft Computing Journal (2014), 18, 261-276
613. Xue, B., Cervante, L., Shang, L., Browne, W.N., Zhang, M. , Binary PSO and
rough set theory for feature selection: A multi-objective filter based approach,
International Journal of Computational Intelligence and Applications, 13
(2), 1450009, 2014
The paper ―Expanding Neighborhood Search - GRASP for the Probabilistic Traveling
Salesman Problem, Optimization Letters, 2, 3, 351-361, 2008‖ is cited by:
614. Christian Agerbeck and Mikael Hansen, A Multi-Agent Approach for Solving
NP-Complete Problems, MSc Thesis, Technical University of Denmark,
Informatics and Mathematical Modeling, 2008
615. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based
metaheuristics for the probabilistic traveling salesman problem. Technical
Report IridiaTr2009-017r001, 2009
616. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based
metaheuristics for the probabilistic traveling salesman problem. Computers
and Operations Research, 2010, 37, 11, 1939-1951.
617. Y-H. Liu, Different Initial Solution Generators in Genetic Algorithms for
Solving the Probabilistic Traveling Salesman Problem, Applied Mathematics
and Computation (2010), 216, 1, 125-137.
618. Prasanna BALAPRAKASH, Estimation-based Metaheuristics for Stochastic
Combinatorial Optimization: Case Studies in Stochastic Routing Problems,
Ph.D. Thesis, University of Bruxelles, 2010.
619. Guillermo Cabrera G., Silvana Roncagliolo D., Juan P. Riquelme, Claudio
Cubillos and Ricardo Soto, A Hybrid Particle Swarm Optimization Simulated Annealing Algorithm for the Probabilistic Travelling Salesman
Problem, SIC: vol. 21, issue 1/2012, pp. 49-58
620. Ulrike Ritzinger and Jakob Puchinger, Hybrid Metaheuristics for Dynamic and
Stochastic Vehicle Routing, E.-G. Talbi (Ed.): Hybrid Metaheuristics, SCI
434, pp. 77–95, Springer-Verlag Berlin Heidelberg 2013
621. Tongquan Zhang, Ying Yin, Jianping Li, Shortest path problems with leftside time windows, Optimization Letters (2012), 6(8), 1935-1943.
622. Stacy A. Voccia, Ann M. Campbell, Barrett W. Thomas, The probabilistic
traveling salesman problem with time windows, EURO Journal of
Transportation and Logistics (2013) 2:89–107
623. Weiqi Li, Constructing a Solution Attractor for the Probabilistic Traveling
Salesman Problem through Simulation, M. Emmerich et al. (eds.), EVOLVE
- A Bridge between Probability, Set Oriented Numerics, 1 and
Evolutionary Computation IV, Advances in Intelligent Systems and
Computing 227, DOI: 10.1007/978-3-319-01128-8_1, c_ Springer
International Publishing Switzerland 2013
624. Kevin M. Curtin, Gabriela Voicu, Matthew T. Rice, Anthony Stefanidis, A
Comparative Analysis of Traveling Salesman Solutions from Geographic
Information Systems, Transactions in GIS, 9 JUN 2013,
DOI: 10.1111/tgis.12045, © 2013 John Wiley & Sons Ltd
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
77
The paper ―Application of Ant Colony Optimization to Credit Risk Assessment, New
Mathematics and Natural Computation, 4, 1, 107-122, 2008‖ is cited by:
625. R. Chiong, F. Neri and R. I. McKay, ―Nature that breeds solutions‖ in NatureInspired Informatics for Intelligent Applications and Knowledge
Discovery: Implications in Business, Science and Engineering, R. Chiong
(Ed.), Chapter I, Hershey, PA: Information Science Reference, July 2009.
ISBN 978-1-60566-705-8.
626. Cheng-An Li, Jing Xu, and He-Yong Wang, ―Application of Particle Swarm
Optimization to Credit Risk Assessment‖, Proceedings of the 2009 IEEE
International Conference on Information and Automation, June 22-25
2009, Zhuhai/Macau, China.
627. Leitao, P., Barbosa, J., Trentesaux, D, Bio-inspired multi-agent systems for
reconfigurable manufacturing systems. Engineering Applications of
Artificial Intelligence (2011), 25(5), 933-944
628. Cheng-An Li, Credit Scoring Analysis Using B-Cell Algorithm and K-Nearest
Neighbor Classifiers, Y. Tan, Y. Shi, and H. Mo (Eds.): ICSI 2013, Part II,
LNCS 7929, pp. 191–199, 2013. © Springer-Verlag Berlin Heidelberg 2013
Σhe paper ―A Comparison of Several Nearest Neighbor Classifier Metrics Using Tabu
Search Algorithm for the Feature Selection Problem‖, Optimization Letters, 2, 3, 299308, 2008‖ is cited by:
629. P. Yelland, R. Stratulate. Predictive analytics for bloodbuild conversion. Sun
Microsystems Laboratories Technical Report.
630. Lu Baiquan, Gao Gaiqin, Lu Zeyu, The block diagram method for designing
the particle swarm optimization algorithm, Journal of Global Optimization
(2012), 52, 4, 689-710.
631. Martin Macas, Opinion Formation Inspired Search Strategies for Feature
Selection, Ph.D. Thesis, Department of Cybernetics Faculty of Electrical
Engineering Czech Technical University in Prague
632. Pishdadian, F. ; Nelson, J.K., On the transcription of monophonic melodies in
an instance-based pitch classification scenario, 2013 IEEE Digital Signal
Processing and Signal Processing Education Meeting (DSP/SPE), 11-14
Aug. 2013, 222 – 227, DOI: 10.1109/DSP-SPE.2013.6642594
The paper ―Nature Inspired Intelligence in Medicine: Ant Colony Optimization for
Pap-Smear Diagnosis, International Journal on Artificial Intelligence Tools (IJAIT),
17, 2, 279 – 301, 2008‖ is cited by:
633. J. Jantzen et al. Analysis of Pap-Smear Image Data, The Pap Smear
Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear
Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 5 13, November 29- December 1, 2006, Puerto de la Cruz, Tenerife, Spain.
634. C. Duanggate, B. Uyyanonvara, and T. Koanantakul, A Review of Image
Analysis and Pattern Classification Techniques for Automatic Pap Smear
Screening Process, The 2008 International Conference on Embedded
Systems and Intelligent Technology February 27-29, 2008, Grand Mercure
Fortune Hotel, Bangkok, Thailand.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
78
635. Ioannis Vlahavas, Aristidis Likas and Georgios Paliouras (2008), Machine
Learning and Neural Networks, Special Edition of EETN.
636. R. Chiong, F. Neri and R. I. McKay, ―Nature that breeds solutions‖ in NatureInspired Informatics for Intelligent Applications and Knowledge
Discovery: Implications in Business, Science and Engineering, R. Chiong
(Ed.), Chapter I, Hershey, PA: Information Science Reference, July 2009.
ISBN 978-1-60566-705-8.
637. Chen, L.-S., Applying swarm intelligence to a library system, Library
Collections, Acquisitions, & Technical Services (2010), 34, 1, 1-10.
638. Victor-Emil Neagoe, Catalina-Elena Neghina, and Mihai Neghina, Ant Colony
Optimization for Logistic Regression and Its Application to Wine Quality
Assessment, Mathematical Models for Engineering Science, ISBN: 978960-474-252-3, 195-200
639. Chen, L.S., Applying Swarm Intelligence for Campus Safety Management,
Journal of Global Business Management, 4, 2, October 2008.
640. Luz Helena Camargo Casallas, Classification of squamous cell cervical
cytology, Thesis submitted in partial fulfillment of the requirements for
the degree of: Magister en Ingeniera Biomedica, Universidad Nacional de
Colombia Departamento de Imagenes Diagnosticas Bogota D.C., Colombia
2012
641. VICTOR-EMIL NEAGOE, ADRIAN-DUMITRU CIOTEC, CATALINAELENA NEGHINA, and GABRIEL-EDUARD STRUGARU, New
Computational Intelligence-Based Techniques for Training Sample
Selection/Generation to Improve Spatial-Contextual Classification of
Multispectral Remote Sensing Imagery, Recent Advances in Information
Science, ISBN: 978-1-61804-140-1, 21-26
The paper ―A Bilevel Genetic Algorithm for a Real Life Location Routing Problem,
International Journal of Logistics: Research and Applications, 11, 1, 49-65, 2008‖ is
cited by:
642. International Logistics Abstracts, February 2008, Vol. 4, No 1, Abstracts 08/1
– 08/145, Cranfield University, School of Management
643. Rui Borges Lopes, Carlos Ferreira, Beatriz Sousa Santos, Sérgio Barreto, A
taxonomical
analysis,
current
methods
and
objectives on location-routing problems XVII International Meeting on
Locational Analysis, Elche, September 17-19, 2008
644. Seyed Reza Sajjadi, Integrated Supply Chain: Multi Products Location
Routing Problem Integrated with Inventory under Stochastic Demand, Ph.D.
Thesis, Department of Industrial and Manufacturing Engineering, Wichita
State University, 2008
645. Rasheed Sahraeian and Ali Nadizadeh, Using Greedy Clustering Method for
Solving Capacitated Location Routing Problem, 3rd International Conference
on Industrial Engineering and Industrial Management, 2nd – 4th September
2009, Barcelona, Spain.
646. Herminia I. Calvete, Carmen Galé and María-José Oliveros, Bilevel model for
production-distribution planning solved by using ant colony optimization,
Computers & Operations Research, (2011), 38, 1, 320-327.
647. Moacir Godinho Filho and Rogerio de Avila Ribeiro Junqueira, Chinese
Postman Problem (CPP): solution methods and computational time,
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
648.
649.
650.
651.
652.
653.
654.
655.
656.
657.
658.
659.
660.
79
International Journal of Logistics Systems and Management, Volume 7,
Number 3, 2010, 324 - 344
M. S. Jabal-Ameli, M. B. Aryanezhad and N. Ghaffari-Nasab, A variable
neighborhood descent based heuristic to solve the capacitated location-routing
Problem, International Journal of Industrial Engineering Computations
(2011), 2, 141-154, doi: 10.5267/j.ijiec.2010.06.003.
Aras, Necati; Aksen, Deniz; Tekin, Tugrul; Location and selective routing
problem with pricing for the collection of used products. 40th International
Conference on Computers and Industrial Engineering (CIE), Publication
Year: 2010, Page(s): 1 – 6, DOI: 10.1109/ICCIE.2010.5668217.
Rui Jorge Ferreira Soares Borges Lopes, Location-Routing Problems of SemiObnoxious Facilities: Approaches and Decision Support, Ph.D. Thesis,
Departamento de Economia, Gestão e Engenharia Industrial, Universidade de
Aveiro 2011
Nadizadeh, A., Sahraeian, R., Zadeh, A.S., Homayouni, S.M., Using greedy
clustering method to solve capacitated location-routing problem, African
Journal of Business Management 5 (21), pp. 8470-8477, 2011
Niu, H., Determination of the Skip-Stop Scheduling for a Congested Transit
Line by Bilevel Genetic Algorithm, International Journal of Computational
Intelligence Systems 4 (6), pp. 1158-1167, 2011
Hamidi, M., Farahmand, K., Sajjadi, S.R., Nygard, K.E. , A hybrid GRASPtabu search metaheuristic for a four-layer location-routing problem,
International Journal of Logistics Systems and Management 12 (3) , pp.
267-287, 2012
Mehrjerdi, Y.Z., Nadizadeh, A., Using Greedy Clustering Method to Solve
Capacitated Location-Routing Problem with Fuzzy Demands, European
Journal of Operational Research (2013), 229, 75-84
Ching-Jung Ting and Yu-Ju Yang, Solving the Bi-level Programming for
Supply Chain Distribution Network with Threshold Accepting, The 2012
International Symposium on Semiconductor Manufacturing Intelligence
N. Ghaffari-Nasab, S. Ghazanfar Ahari, M. Ghazanfari, A hybrid simulated
annealing based heuristic for solving the location-routing problem with fuzzy
demands, Scientia Iranica Transactions E: Industrial Engineering, 2013,
20, 919-930
Xuan Qiu & George Q. Huang (2013): Storage pricing, replenishment, and
delivery schedules in a supply hub in industrial park: A bilevel programming
approach, International Journal of Production Research, 51, 6950-6971.
Ghaffari-Nasab, N., Jabalameli, M.S., Saboury, A., Multi-objective
capacitated location-routing problem: Modelling and a simulated annealing
heuristic, International Journal of Services and Operations Management
15 (2) , pp. 140-156
Jia, L., Wang, Y., Fan, L., Multiobjective bilevel optimization for productiondistribution planning problems using hybrid genetic algorithm, Integrated
Computer-Aided Engineering 21 (1) , pp. 77-90, 2014
Hamidi, M., Farahmand, K., Reza Sajjadi, S., Nygard, K.E., A heuristic
algorithm for a multi-product four-layer capacitated location-routing problem,
International Journal of Industrial Engineering Computations 5 (1) , pp.
87-100, 2013
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
80
661. Lopes, R.B., Ferreira, C., Santos, B.S., Barreto, S., A taxonomical analysis,
current methods and objectives on location-routing problems, International
Transactions in Operational Research 20 (6) , pp. 795-822, 2013
662. Zare Mehrjerdi, Y., Nadizadeh, A., Using greedy clustering method to solve
capacitated location-routing problem with fuzzy demands, European Journal
of Operational Research 229 (1) , pp. 75-84, 2013
663. Nader Ghaffari-Nasab & Mohamad Saeed Jabalameli & Mir Bahador
Aryanezhad & Ahmad Makui, Modeling and solving the bi-objective
capacitated location-routing problem with probabilistic travel times, Int J Adv
Manuf Technol (2013) 67:2007–2019 DOI 10.1007/s00170-012-4627-9
664. Xuan Qiu, George Q. Huang, and Jasmine Siu Lee Lam, A Bilevel Analytical
Model for Dynamic Storage Pricing in a Supply Hub in Industrial Park
(SHIP), IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND
ENGINEERING, (accepted)
665. Herminia I. Calvete, Carmen Galé, José A. Iranzo, Planning of a decentralized
distribution network using bilevel optimization, Omega 49 (2014) 30–41
666. Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A solution method for a twolayer sustainable supply chain distribution model, Computers and
Operations Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.015i
667. Michael Drexl, Michael Schneider, A survey of variants and extensions of the
location-routing problem, European Journal of Operational Research 000
(2014) 1–25
668. Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A case analysis of a sustainable
food supply chain distribution system—A multi-objective approach, Int. J.
Production Economics 152 (2014) 71–87
669. Yang Liu, Yun Yuan, Yi Chen, Lingxiao Ruan, and Hao Pang, A Chance
Constrained Goal Programming Model for Location-Routing Problem Under
Uncertainty, R. Zhang et al. (eds.), LISS 2013: Proceedings of 3rd
International Conference on Logistics, Informatics and Service Science,
DOI 10.1007/978-3-642-40660-7_15, © Springer-Verlag Berlin Heidelberg
2015, 105-116
670. Jia, L., Feng, X., Zou, G., Solving multiobjective bilevel transportationdistribution planning problem by modified NSGA II, Proceedings - 9th
International Conference on Computational Intelligence and Security,
CIS 2013, 6746407, pp. 303-307, 2013
The paper ―Optimization of Nearest Neighbor Classifiers via Metaheuristic
Algorithms for Credit Risk Assessment, Journal of Global Optimization, 42, 279-293,
2008‖ is cited by:
671. Yorgos Goletsis, Themis Exarchos and Christos Katsis, Can Ants Predict
Bankruptcy? A Comparison of Ant Colony Systems to other state-of-the-art
Computational Methods, New Mathematics and Natural Computation, 5
(3), 2009, 571-588.
672. Vytautas Boguslauskas and Ricardas Milleris, Estimation of Credit Risk by
Artificial Neural Networks Model, Economics of Engineering Decisions, 4,
2009, 7-14
673. Vasilis Vassiliadis and Georgios Dounias, Nature Inspired Intelligence: A
Review of Selected Methods, International Journal on Artificial Intelligence
Tools, 18(4), 487-516, 2009
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
81
674. Ricardas Milleris, Estimation of loan applicants default probability applying
discriminant analysis and simple bayesian classifier, Economics and
Management, 15, 1078-1084, 2010
675. Xiaoguang Deng, Xianyi Zeng, Philippe Vroman, Ludovic Koehl, An
intelligent multi-criteria optimization method for quick and market-oriented
textile material design, Journal of Global Optimization, 2011, 51 (2), pp.
227-244
676. Zhuo, X., Dai, F., Dynamic quantitative trust assessment model between
partner-enterprises of supply chain alliances, ICLEM 2010: Logistics for
Sustained Economic Development - Infrastructure, Information,
Integration - Proceedings of the 2010 International Conference of
Logistics Engineering and Management Volume 387, 2010, p. 4585-4592
677. Abbas Keramati, Niloofar Yousefi, A Proposed Classification of Data Mining
Techniques in Credit Scoring, Proceedings of the 2011 International
Conference on Industrial Engineering and Operations Management Kuala
Lumpur, Malaysia, January 22 – 24, 2011
678. İhsan Kaya, Cengiz Kahraman and Selçuk Çebi, Computational Intelligence
Techniques for Risk Management in Decision Making, Intelligent Systems
Reference Library, 1, Volume 33, Handbook on Decision Making, Part I,
Pages 9-38, Springer, 2012
679. Saeed Mirzamohammadi, Mostafa Mansouri, Application of Regression and
Neural Networks for Prediction of the Profit Rise on Assets Log in Tehran
Stock Exchange, Journal of Basic and Applied Scientific Research, 3(5),
262-269, 2013, © 2013, TextRoad Publication, ISSN 2090-4304
680. A I Marqués, V García and J S Sánchez, A literature review on the application
of evolutionary computing to credit scoring, Journal of the Operational
Research Society, 64, 1384-1399, 2013
681. Ram Babu, A.Rama Satish, Improved of K-Nearest Neighbor Techniques in
Credit Scoring, International Journal For Development of Computer
Science & Technology (Volume - 1, Issue - 2, Feb – March - 2013), ISSN:
2320-7884 (Online)
682. Vicente Garcıa, Ana I. Marques, J. Salvador Sanchez, An insight into the
experimental design for credit risk and corporate bankruptcy prediction
systems, J Intell Inf Syst DOI 10.1007/s10844-014-0333-4
The paper ―Application of a Genetic Algorithm for the Credit Risk Assessment
Problem, Foundations of Computing and Decisions Sciences, 32, 2, 139-152, 2007‖ is
cited by:
683. Zhong, Xing, Peng, Yi, Kou, Gang, A dynamic self-adoptive genetic algorithm
for personal credit risk assessment, 3rd International Conference on
Information Sciences and Interaction Sciences (ICIS), 2010, 711 – 716.
The paper ―Annotated Bibliography in Vehicle Routing, Operational Research an
International Journal, 7, 1, 27-46, 2007‖ is cited by:
684. N. Matsatsinis, Towards a decision support system for the ready concrete
distribution system: A case of a Greek company, European Journal of
Operational Research, 152, 2004, 487-499.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
82
685. D. Naso, M. Surico, B. Turchiano and U. Kaymak, Genetic Algorithms In
Supply Chain Scheduling Of Ready mixed Concrete, Erasmus Research
Institute Of Management, Report Series Research In Management, ERS2004-096-LIS, October 2004
686. David Naso and Biagio Turchiano, Multicriteria Meta-Heuristics for AGV
Dispatching Control Based on Computational Intelligence, IEEE
Transactions On Systems, Man, And Cybernetics-Part B: Cybernetics,
vol. 35, no. 2, April 2005, 208-226.
687. D. Naso, M. Surico, ―A Multi-Objective Evolutionary Approach to Distributed
Supply Network Scheduling‖, Proceeding of 16th IFAC World Congress ,
Prague, Czech Republic, July 4-8, 2005
688. D. Naso, M. Surico, and B. Turchiano, Reactive Scheduling of a Distributed
Network for the Supply of Perishable Products, IEEE Transactions on
Automation Science and Engineering, vol. 4, no. 3, 407-423, July 2007.
689. D. Naso, M. Surico, and B. Turchiano, Scheduling Production and
Distribution of Rapidly Perishable Materials with Hybrid GA’s, Studies in
Computational Intelligence, 49, 465-483, 2007.
690. D. Naso, M. Surico, B. Turchiano and U. Kaymak, Genetic algorithms for
supply-chain scheduling: A case study in the distribution of ready-mixed
concrete, European Journal of Operational Research, 177, 3, 2007, 20692099.
691. Jirí Vokrínek, Antonín Komenda and Michal Pechoucek, Agents Towards
Vehicle Routing Problems, Proc. of 9th Int. Conf. on Autonomous Agents
and Multiagent Systems (AAMAS 2010), van der Hoek, Kaminka,
Lespérance, Luck and Sen (eds.), May, 10–14, 2010, Toronto, Canada, pp.
773-780
692. Joseph Gallart Suarez, Manuel Tupia Anticona, Two GRASP Metaheuristic for
the Capacitated Vehicle Routing Problem Considering Split Delivery and
Solving the Three Dimensional Bin Packing Problem, Advances in
Information Sciences and Service Sciences Volume 2, Number 2, June 2010
693. Peter Matis · Michal Koháni, Very large street routing problem with mixed
transportation mode, Central European Journal of Operations Research,
(2011), 19, 3, 359-369.
694. Joseph Gallart Suarez, Manuel Tupia Anticona, Solving the Capacitated
Vehicle Routing Problem and the Split Delivery Using GRASP Metaheuristic,
M. Bramer (Ed.): IFIP AI 2010, IFIP AICT 331, pp. 243–249, 2010. © IFIP
International Federation for Information Processing 2010
695. Juan R. Jaramillo, Albany State University, The Single Green Vehicle Routing
Problem, The 2010 Southeastern INFORMS Conference, Thursday,
October 7, to Friday, October 8, 2010, South Carolina, USA.
696. Sara Ceschia, Luca Di Gaspero, Andrea Schaerf, Tabu search techniques for
the heterogeneous vehicle routing problem with time windows and carrierdependent costs, Journal of Scheduling, 2011, 14, 6, 601-615.
697. Abel Garcia Najera, Multi-Objective Evolutionary Algorithms for Vehicle
Routing Problems, Ph.D. Thesis, School of Computer Science College of
Engineering and Physical Sciences, The University of Birmingham, UK,
November 2010
698. Sahbi Ben Ismail, François Legras, Gilles Coppin, Synthèse du problème de
routage de véhicules, Collection des rapports de recherché de Télécom
Bretagne, RR-2011-03-LUSSI, 2011.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
83
699. Philip Kilby, Andrew Verden, Flexible routing combing Constraint
Programming, Large Neighbourhood Search, and Feature-based Insertion,
Artificial Intelligence and Logistics (AILog) Workshop at IJCAI’11,
Barcelona, Spain, 2011.
700. Rita Alexandra Santos Gonçalves de Macedo, , Models and Algorithms for
Hard Optimization Problems, Ph.D. Thesis, Universidade do Minho Escola de
Engenharia, January 2011, Portugal
701. Sara Ceschia, Local Search Algorithms for Integrated Logistics, Ph.D. Thesis,
Dipartimento di Ingegneria Elettrica, Gestionale e Meccanica, Universita degli
Studi di Udine, February 28, 2012
702. Ertan Yakıcı · Orhan Karasakal, A min–max vehicle routing problem with
split delivery and heterogeneous demand, Optimization Letters, DOI
10.1007/s11590-012-0571-8
703. Andres Pico, and Yong Hui Ronny Tan, Heuristics for Solving Problem of
Evacuating Non-Ambulatory People in a Short-Notice Disaster, MBA
Professional Report, Naval Postgraduate School Monterey, CA 93943-5000,
December 2012
704. Lin, C., Choy, K.L., Ho, G.T.S., Chung, S.H., Lam, H.Y., Survey of Green
Vehicle Routing Problem: Past and future trends, Expert Systems with
Applications 41 (4 PART 1) , pp. 1118-1138, 2014
705. Jeffrey A. McDougall, Luis Daniel Otero, Juan Avendano, and Abdel Ejnioui,
System Analysis Methods in Emergency Systems Vehicle Routing
Problem, 2013 IEEE International Systems Conference (SysCon), 15-18
April 2013, pp. 8-18, DOI: 10.1109/SysCon.2013.6549978
706. E.K. Burke and G. Kendall (eds.), Search Methodologies: Introductory
Tutorials in Optimization and Decision Support Techniques, DOI
10.1007/978-1-4614-6940-7_1, © Springer Science+Business Media New
York 2014
707. S.P. Anbuudayasankar et al., Models for Practical Routing Problems in
Logistics: Design and Practices, DOI 10.1007/978-3-319-05035-5_2, ©
Springer International Publishing Switzerland 2014
The paper ―A New Bilevel Formulation for the Vehicle Routing Problem and a
Solution Method Using a Genetic Algorithm, Journal of Global Optimization, 38,
555-580, 2007‖ is cited by:
708. Irene Okhrin and Knut Richter, The Vehicle Routing Problem with Real Time
Travel Times, Technical Report (TP2-2007-WP8), European University
Viadrina, Germany, 2007.
709. Irene Okhrin and Knut Richter, The Real – Time Vehicle Routing Problem,
Operations Research Proceedings, 141-146, 2008, DOI: 10.1007/978-3-54077903-2, Springer Berlin Heidelberg.
710. Christian Agerbeck and Mikael Hansen, A Multi-Agent Approach for Solving
NP-Complete Problems, MSc Thesis, Technical University of Denmark,
Informatics and Mathematical Modeling, 2008
711. Irene Okhrin and Knut Richter, The Vehicle Routing Problem with Real Time
Travel Times, Techniques and Applications for Mobile Commerce, C. Branki
et al. (Eds), Frontiers in Artificial Intelligence and Applications, Vol. 169,
32-45.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
84
712. Ping Ji, Hongtao Wu, Yongzhong Wu, Quadratic Programming for the
Vehicle Routing Problem, The 7th International Symposium on Operations
Research and Its Applications (ISORA’08) Lijiang, China, October 31–
Novemver 3, 2008, Copyright © 2008 ORSC & APORC, pp. 82–90
713. Irene Okhrin and Knut Richter, Vehicle Routing Problem with Real-time
Travel Times, International Journal of Vehicle Information and
Communication Systems, Vol. 2, Number 1-2, 59-77, 2009.
714. Matthias Koppe, Maurice Queyranne, and Christopher Thomas Ryan, A
Parametric Integer Programming Algorithm For Bilevel Mixed Integer
Programs, Optimization and Control, arxiv 0907.1298, 2009.
715. Armin Lüer, Magdalena Benavente, Jaime Bustos and Bárbara Venegas, El
problema de rutas de vehículos: Extensiones y métodos de resolución, estado
del arte, WORKSHOP INTERNACIONAL EIG2009, Departamento de
Ingeniería de Sistemas Universidad de La Frontera – Chile, Diciembre 3 y 4,
2009
716. Liu Fanghua Zhao Jianmin Xu Huiying , Research on Optimizing Physical
Distribution Routing Based on Mergers & Acquisitions Algorithm,
COMPUTER AND DIGITAL ENGINEERING, 2009, 37, 8.
717. Matthias Koppe, Maurice Queyranne, and Christopher Thomas Ryan,
Parametric Integer Programming Algorithm For Bilevel Mixed Integer
Programs, Journal of Optimization Theory and Applications, 2010, 146, 1,
137-150.
718. Yong Mao, Yanfang Deng, Solving Vehicle Routing Problem with Time
Windows with Hybrid Evolutionary Algorithm, 2010 Second WRI Global
Congress on Intelligent Systems, 978-0-7695-4304-8/10, IEEE, DOI
10.1109/GCIS.2010.171, 335-339
719. Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in
Supply Chain Management: A Review of Selected Methods and Applications,
in Supply Chain Optimization, Design, and Management: Advances and
Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios
Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI:
10.4018/9781615206339.ch001
720. Berit Johannes, New Classes of Complete Problems for the Second Level of
the Polynomial Hierarchy, Ph.D. Thesis, Von der Fakult¨at II – Mathematik
und Naturwissenschaften der Technischen Universit¨at Berlin zur Erlangung
des akademischen Grades, 2011
721. J Pacheco, A Alvarez, I Garcıa and F Angel-Bello, Optimizing vehicle routes
in a bakery company allowing flexibility in delivery dates, Journal of the
Operational Research Society (2012), 63, 5, 569-581.
722. Bortfeldt A. A hybrid algorithm for the capacitated vehicle routing problem
with three-dimensional loading constraints. Computers and Operations
Research (2012), 39, 9, 2248-2257.
723. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Peihua, Solving material distribution routing problem in mixed manufacturing
systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South
Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer
724. Zou, G., Jia, L., Zou, J. , Random-weight based genetic algorithm for
multiobjective bilevel mixed linear integer programming, Proceedings International Conference on Natural Computation, art. no. 6234677 , pp.
693-697, 2012
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
85
725. Andreas Bortfeldt and Jorg Homberger, Packing First, Routing Second – a
Heuristic for the Vehicle Routing and Loading Problem, Computers &
Operations Research, 40 (3) , pp. 873-885
726. Knut Richter and Irena Okhrin, Progress in Solving Vehicle Routing
Problems, DR-LOG 08, 21 – 25 May 2008, Moskau
727. Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute
vehicle routing problems: A survey and synthesis, European Journal of
Operational Research (2013), 231, 1-21
728. Thibaut VIDAL, Approches generales de resolution pour les problems multiattributs de tournees de vehicules et confection d'horaires, Universite de
Montreal & Universite de Technologie de Troyes, These presentee en vue de
l'obtention du grade de Philosophi Doctor (Ph.D.) en Informatique, 2013
729. Georgios K.D. Saharidis, Antonio J. Conejo, and George Kozanidis, Exact
Solution Methodologies for Linear and (Mixed) Integer Bilevel Programming,
E.-G. Talbi (Ed.): Metaheuristics for Bi-level Optimization, SCI 482, pp.
221–245. DOI: 10.1007/978-3-642-37838-6_8, © Springer-Verlag Berlin
Heidelberg 2013
730. Pacheco, J., Caballero, R., Laguna, M., Molina, J., Bi-objective bus routing:
An application to school buses in rural areas, Transportation Science 47 (3) ,
pp. 397-411, 2013
731. Ozsoydan, F.B., Sipahioglu, A., Heuristic solution approaches for the
cumulative capacitated vehicle routing problem, Optimization 62 (10) , pp.
1321-1340, 2013
732. Jose Ruben Gomez, Joaquın Pacheco, Hernan Gonzalo-Orden, A Tabu Search
Method for a Bi-Objective Urban Waste Collection Problem, ComputerAided Civil and Infrastructure Engineering (2013), 1-18.
733. Joaquin Pacheco, Irma Garcλa, Ada Αlvarez, Enhancing variable
neighborhood search by adding memory: Application to a real logistic
problem, Knowledge-Based Systems 62 (2014) 28–37
734. S.P. Anbuudayasankar et al., Models for Practical Routing Problems in
Logistics: Design and Practices, DOI 10.1007/978-3-319-05035-5_2, ©
Springer International Publishing Switzerland 2014
735. Qi, C., Li, P., An exponential entropy-based hybrid ant colony algorithm for
vehicle routing optimization, Applied Mathematics and Information
Sciences, 8 (6), pp. 3167-3173, 2014
The paper ―A Hybrid Genetic - GRASP Algorithm Using Lagrangean Relaxation for
the Traveling Salesman Problem, Journal of Combinatorial Optimization, 10, 311326, 2005‖ is cited by:
736. G. Voicu, A Comparative Analysis of Traveling Salesman Heuristic Implementations in GIS, GIS Masters Project, University of Texas, Dallas,
2006
737. Aybars Ugur, Path Planning On A Cuboid Using Genetic Algorithms,
Information Sciences, 178, 16, 3275-3287, 2008.
738. Peter Merz and Jutta Huhse, An Iterated Local Search Approach for Finding
Provably Good Solutions for Very Large TSP Instances, G. Rudolph et al.
(Eds.): PPSN X, LNCS 5199, pp. 929–939, 2008, Springer-Verlag Berlin
Heidelberg.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
86
739. Barış Özkan, Utku Cevre, Aybars Uğur, Melez Bir Eniyileme Yöntemi İle Rota
Planlama, Akademik Bilişim 2008 30 October - 1 November 2008 Çanakkale
Onsekiz Mart Üniversitesi, Çanakkale (Dardanelia), Turkey
740. Aybars Uğur, Serdar Korukoğlu, Ali Ζalıskan, Muhammed Cinsdikici, Ali
Alp, Genetic Algorithm Based Solution For Tsp On A Sphere, Mathematical
and Computational Applications, Vol. 14, No. 3, pp. 219-228, 2009.
741. Jinhong Zhong, Ling Huang, "Application Progress of Genetic Algorithm for
Economic Lot Sizing Problem," pp.2858-2861, 2009 First IEEE
International Conference on Information Science and Engineering, 2009
742. Reza Zamani and Sim Kim Lau, Embedding learning capability in
Lagrangean relaxation: An application to the travelling salesman problem,
European Journal of Operational Research, 2010, 201, 82-88.
743. Alfonsas Misevičius, Andrius Blaţinskas, Jonas Blonskis, Vytautas
Bukšnaitis, ON THE GENETIC ALGORITHMS FOR THE TRAVELING
SALESMAN PROBLEM: NEGATIVE AND POSITIVE ASPECTS,
INFORMACIJOS MOKSLAI. 2009, 50, 173-180.
744. Victoria Horan and Michael Gudaitis, INVESTIGATION OF ZERO
KNOWLEDGE PROOF APPROACHES BASED ON GRAPH THEORY,
AFRL-RI-RS-TR-2011-041, FEBRUARY 2011, FINAL TECHNICAL
REPORT, Air Force Research Laboratory/RIGD, NY, USA
745. Melo Freire, Lívio Antônio, Heurística e Limites Duais para o Problema de
Dimensionamento de Lotes e Sequenciamento com Tempos de Preparação
Dependentes da Sequência, Belo Horizonte, 2011, MSc Thesis, Universidade
Federal de Minas Gerais, May 2011
746. Jian Sun, Yuting Wang, Junqing Li, Kaizhou Gao, Hybrid Algorithm Based
on Chemical Reaction Optimization and Lin-Kernighan Local Search for the
Traveling Salesman Problem, 2011 Seventh International Conference on
Natural Computation, 978-1-4244-9953-3/11/$26.00 ©2011 IEEE, 15181521.
747. Peter Merz, Memetic Algorithms and Fitness Landscapes in Combinatorial
Optimization F. Neri et al. (Eds.): Handbook of Memetic Algorithms,
Studies in Computational Intelligence 379, pp. 95–119, Springer-Verlag Berlin
Heidelberg 2012
748. S.H. Nasseri, M.H. Khaviari, Solving TSP by Considering Processing Time:
Meta-Heuristics and Fuzzy Approaches, Fuzzy Information and
Engineering (2011) 4: 359-378, DOI 10.1007/s12543-011-0091-8, Springer
749. Wang Chun-gang and Zhao Hui, Vehicle Control and Dispatching Model
Based on MAS, Proceedings of the 2011, International Conference on
Informatics, Cybernetics, and Computer Engineering (ICCE2011) November
19–20, 2011, Melbourne, Australia, Advances in Intelligent and Soft
Computing, 2012, Volume 111/2012, 497-503, DOI: 10.1007/978-3-64225188-7_62
750. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Peihua, Solving material distribution routing problem in mixed manufacturing
systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South
Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer
751. Liu, C., Li, L., Huang, Y. , Optimization research on distribution of emergency
supplies and minimize save points based on grey correlation analysis,
Advances in Information Sciences and Service Sciences 4 (15) , pp. 50-56,
2012
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
87
752. Sauerland
Volkmar, Algorithm Engineering for some Complex Practise
Problem: Exact Algorithms, Heuristics and Hybrid Evolutionary Algorithms,
Kiel, Christian-Albrechts-Universität, Diss., 2012
753. R.SIVARAJ, T.RAVICHANDRAN, R.DEVI PRIYA, Solving Travelling
Salesman Problem using Clustering Genetic Algorithm International Journal
on Computer Science and Engineering (IJCSE), Vol. 4 No. 07 July 2012,
1310-1317
754. Kevin M. Curtin, Gabriela Voicu, Matthew T. Rice, Anthony Stefanidis, A
Comparative Analysis of Traveling Salesman Solutions from Geographic
Information Systems, Transactions in GIS, 18(2), 286-301,
DOI: 10.1111/tgis.12045, © 2014 John Wiley & Sons Ltd
The paper ―Expanding Neighborhood GRASP for the Traveling Salesman Problem,
Computational Optimization and Applications, 32, 231-257, 2005‖ is cited by:
755. M.G.C. Resende and P. Festa, An Updated Bibliography of GRASP available
online http://www.optimization-online.org/DBFILE /2003/10/758.pdf
756. M.G.C. Resende and P. Festa, An Annotated Bibliography of GRASP,
Technical Report TD-5WYSEW, AT&T Labs Research, Florham Park, NJ
07932, February 2004, submitted in European Journal of Operational
Research
and
available
online
in
http://www.optimizationonline.org/DBFILE /2004/03/834.pdf
757. Elizabeth Gouvea Golbarg, Marco Goldbarg and Joa Farias, GRASP with Path
Relinking for the TSP, Metaheuristics, Progress in Complex Systems
Optimization, Vol. 39, 2007, 137-152, Springer US.
758. Paolo Brandimarte and Giulio Zotteri, Introduction to Distribution
Logistics, John Wiley and Sons, 2007
759. Ya-yah Zheng and Weng –xin Zhou, An improved GRASP for Traveling
Salesman Problem, Computers Engineering and Science, Vol. 30, No 11,
2008
760. Aybars Uğur, Serdar Korukoğlu, Ali Ζalıskan, Muhammed Cinsdikici, Ali
Alp, Genetic Algorithm Based Solution For Tsp On A Sphere, Mathematical
and Computational Applications, Vol. 14, No. 3, pp. 219-228, 2009.
761. Waldemar Pereira Mathias Neto and José Roberto Sanches Mantovani,
Restauração De Redes De Distribuição De Grande Porte Através De
Algoritmo GRASP Dedicado, 41 Symposio Brazileiro de Pesquisa
Operacional, Porto Seguro 1-4 September 2009, Brazil
762. Armin Lüer, Magdalena Benavente, Jaime Bustos and Bárbara Venegas, El
problema de rutas de vehículos: Extensiones y métodos de resolución, estado
del arte, WORKSHOP INTERNACIONAL EIG2009, Departamento de
Ingeniería de Sistemas Universidad de La Frontera – Chile, Diciembre 3 y 4,
2009
763. J. Joshua Thomas and Choy Chee Ken, Process visualization to solve the
travelling salesman problem, Proceedings of the 3rd International Symposium
on Visual Information Communication, 2010, ISBN: 978-1-4503-0436-8
doi:10.1145/1865841.1865858
764. Yong Mao, Yanfang Deng, Solving Vehicle Routing Problem with Time
Windows with Hybrid Evolutionary Algorithm, 2010 Second WRI Global
Congress on Intelligent Systems, 978-0-7695-4304-8/10, IEEE, DOI
10.1109/GCIS.2010.171, 335-339
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
88
765. Thomas, J.J., Choy Chee Ken, Leow, A., An interactive approach to solve the
Travelling Salesman Problem. 5th International Conference on Computer
Sciences and Convergence Information Technology (ICCIT), 2010 DOI:
10.1109/ICCIT.2010.5711146 Publication Year: 2010 , Page(s): 710 – 715
766. Melo Freire, Lívio Antônio, Heurística e Limites Duais para o Problema de
Dimensionamento de Lotes e Sequenciamento com Tempos de Preparação
Dependentes da Sequência, Belo Horizonte, 2011, MSc Thesis, Universidade
Federal de Minas Gerais, May 2011
767. Jian Sun, Yuting Wang, Junqing Li, Kaizhou Gao, Hybrid Algorithm Based
on Chemical Reaction Optimization and Lin-Kernighan Local Search for the
Traveling Salesman Problem, 2011 Seventh International Conference on
Natural Computation, 978-1-4244-9953-3/11/$26.00 ©2011 IEEE, 15181521.
768. Saeed Shahrivari, Mohsen Sharifi, Task-Oriented Programming: A Suitable
Programming Model for Multicore and Distributed Systems, 10th
International Symposium on Parallel and Distributed Computing, Cluj
Napoca, Cluj Romania, 06-08 July 2011, ISBN: 978-0-7695-4540-0
769. Wang Chun-gang and Zhao Hui, Vehicle Control and Dispatching Model
Based on MAS, Proceedings of the 2011, International Conference on
Informatics, Cybernetics, and Computer Engineering (ICCE2011) November
19–20, 2011, Melbourne, Australia, Advances in Intelligent and Soft
Computing, 2012, Volume 111/2012, 497-503, DOI: 10.1007/978-3-64225188-7_62
770. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Peihua, Solving material distribution routing problem in mixed manufacturing
systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South
Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer
771. Ritzinger, U., Puchinger, J. , Hybrid metaheuristics for dynamic and stochastic
vehicle routing, Studies in Computational Intelligence 434 , pp. 77-95, 2013
772. Bahriye Akay, Emre Aydogan, Levent Karacan, 2-opt based artificial bee
colony algorithm for solving traveling salesman problem, 2nd World
Conference on Information Technology (WCIT-2011), 1 (2012), 666-672.
773. Faisal Amri, Erna Budhiarti Nababan, Mohammad Fadly Syahputra, Artificial
Bee Colony Algorithm untuk Menyelesaikan Travelling Salesman Problem,
JURNAL DUNIA TEKNOLOGI INFORMASI Vol. 1, No. 1, (2012) 8-13
774. M. Rajabi Bahaabadi, A. Shariat Mohaymany, and M. Babaei, AN
EFFICIENT CROSSOVER OPERATOR FOR TRAVELING SALESMAN
PROBLEM, International Journal of Optimization in Civil Engineering,
2012, 2(4), 607-619
775. Everton Santi, Uma Abordagem Hybrida Para O Problema De Selecao de
Fornecedores em Cadeias de Suprimentos, Mestre em Engenharia de
Producao, Universidado Federal do Rio Grande do Norte, Rio de Janeiro,
Brazil, 2012
776. Baddi, Y., El Kettani E.-C., Dafi M., Parallel GRASP algorithm with delay
and delay variation for Rendezvous Point selection in PIM-SM multicast
routing, Journal of Theoretical and Applied Information Technology 57
(2) , pp. 235-243, 2013
777. Dowlatshahi, M.B., Nezamabadi-Pour, H., Mashinchi, M., A discrete
gravitational search algorithm for solving combinatorial optimization
problems, Information Sciences 258 , pp. 94-107, 2014
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
89
778. Baddi, Y., El Kettani E.-C., Dafi M., Parallel GRASP algorithm with delay
and delay variation for Rendezvous Point selection in PIM-SM multicast
routing, 2013 Eighth International Conference on Broadband and
Wireless Computing, Communication and Applications (BWCCA), 28-30
Oct. 2013, 481 – 487, Compiegne, France, DOI: 10.1109/BWCCA.2013.84
779. Baddi, Y., El Kettani E.-C., Dafi M., Parallel GRASP algorithm with delay
and delay variation for core selection in shared tree based multicast routing
protocols, 2013 Third International Conference on Innovative Computing
Technology
(INTECH),
29-31
Aug.
2013,
London,
DOI:
10.1109/INTECH.2013.6653696
780. Baddi, Y., El Kettani, M.D.E.-C., Qos-based parallel GRASP algorithm for
RP selection in PIM-SM multicast routing and mobile IPV6, International
Review on Computers and Software, 9 (7), pp. 1271-1281, 2014
781. Dowlatshahi, M.B., Nezamabadi-Pour, H., Mashinchi, M., A discrete
gravitational search algorithm for solving combinatorial optimization
problems, Information Sciences, 258, pp. 94-107, 2014
The paper ―A Hybridized Particle Swarm Optimization with Expanding
Neighborhood Topology for the Feature Selection Problem‖, M.J. Blesa et al. (Eds.):
HM 2013, LNCS 7919, pp. 37–51, ©Springer-Verlag Berlin Heidelberg 2013‖ is cited
by:
782. Lim, W.H., Mat Isa, N.A., Particle swarm optimization with increasing
topology connectivity. Engineering Applications Artifficial Intelligence
(2014), 27, 80-102
783. Lim, W.H., Mat Isa, N.A., An adaptive two-layer particle swarm optimization
with elitist learning strategy, Information Sciences 273 (2014) 49–72
784. Lim, W.H., Mat Isa, N.A., Bidirectional teaching and peer-learning particle
swarm Optimization, Information Sciences 280 (2014) 111–134
785. Yong Zhang, Changhong Xia, Dunwei Gong, and Xiaoyan Sun, Multiobjective PSO Algorithm for Feature Selection Problems with Unreliable
Data, Y. Tan et al. (Eds.): ICSI 2014, Part I, LNCS 8794, pp. 386–393, 2014.
The paper ―Bumble Bees Mating Optimization Algorithm for the Vehicle Routing
Problem‖, Handbook of Swarm Intelligence – Concepts, Principles and Applications,
Editors Bijaya Ketan Panigrahi, Yuhui Shi and Meng-Hiot Lim, Series on Adaptation,
Learning, and Optimization 8, Springer – Verlang, Berlin, 347-369, 2011‖ is cited by:
786. Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute
vehicle routing problems: A survey and synthesis, European Journal of
Operational Research (2013), 231, 1-21.
787. Thibaut VIDAL, Approches generales de resolution pour les problems multiattributs de tournees de vehicules et confection d'horaires, Universite de
Montreal & Universite de Technologie de Troyes, These presentee en vue de
l'obtention du grade de Philosophi Doctor (Ph.D.) en Informatique, 2013
788. Sabar, N.R., Ayob, M., Kendall, G., Qu, R., Grammatical evolution hyperheuristic for combinatorial optimization problems, IEEE Transactions on
Evolutionary Computation 17 (6) , art. no. 6595625 , pp. 840-861, 2013
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
90
The paper ―A Bumble bees mating optimization algorithm for global unconstrained
optimization problems, Nature Inspired Cooperative Strategies for Optimization NICSO 2010, Studies in Computational Intelligence, 284, J.R. Gonzalez et al. (Eds.),
Springer-Verlag Berlin, 305-318‖ is cited by:
789. Konrad Diwold, Andrej Aderhold, Alexander Scheidler, Martin Middendorf,
Performance evaluation of artificial bee colony optimization and new selection
schemes, Memetic Computing, (2011), 3, 3, 149-162.
790. Celik, Y., Ulker, E. , An improved marriage in honey bees optimization
algorithm for single objective unconstrained optimization, The Scientific
World Journal 2013 , art. no. 370172, 2013
The paper ―A Hybrid Bumble Bees Mating Optimization – GRASP Algorithm for
Clustering‖, HAIS 2009, Lecture Notes in Artificial Intelligence (LNΑΗ) 5572, E.
Corchado et al. (Eds.), Springer Verlag Berlin Heidelberg, 549-556, 2009‖ is cited
by:
791. Mohamed Jafar Abul Hasan, Sivakumar Ramakrishnan, A survey: hybrid
evolutionary algorithms for cluster analysis, Artificial Intelligence Reviews,
(2011), 36, 3, 179-204.
792. Thieme, Frank, Entwurf eines Hummel inspirierten Algorithmus zur
Maschinenbelegungsplanung, Universität Leipzig Fakultät für Mathematik
und Informatik Institut für Informatik, MSc Thesis, September 2010
793. Ahmed A. A. Esmin, Rodrigo A. Coelho, Stan Matwin, A review on particle
swarm optimization algorithm and its variants to clustering high-dimensional
data, Artificial Intelligence Review DOI 10.1007/s10462-013-9400-4, 2013
The paper ―Metaheuristic Algorithms for the Vehicle Routing Problem, Encyclopedia
of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_366, 2055 – 2061,
Springer, 2009‖ is cited by:
794. Stanley Murairwa, Engku Muhammad Nazri, How to Measure Heuristic
Performance Consistency, European Journal of Scientific Research ISSN
1450-216X Vol.46 No.3 (2010), pp.363-377, © EuroJournals Publishing, Inc.
2010
The paper ―Heuristic and metaheuristic algorithms for the traveling salesman
problem, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-747590_262, 1499 – 1506, Springer, 2009‖ is cited by:
795. Jungyun Bae and Sivakumar Rathinam, Approximation algorithms for
multiple terminal, Hamiltonian path problems, Optimization Letters, (2012),
6, 1, 69-85.
796. Sai Yadlapalli, Sivakumar Rathinam and Swaroop Darbha, 3-Approximation
algorithm for a two depot, heterogeneous traveling salesman problem,
Optimization Letters, (2012), 6, 1, 141-152.
The paper ―Location Routing Problem‖, Encyclopedia of Optimization, 2nd Edition,
DOI: 10.1007/978-0-387-74759-0_345, 1919 – 1925, Springer‖ is cited by:
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
91
797. Liao Xin-Lan; Ting, Chuan-Kang; An evolutionary approach for the selective
pickup and delivery problem, 2010 IEEE Congress on Evolutionary
Computation (CEC), Digital Object Identifier: 10.1109/CEC.2010.5586360
Publication Year: 2010, Page(s): 1 - 8
798. Liao Xin-Lan; Ting, Chuan-Kang; Evolutionary algorithms using adaptive
mutation for the selective pickup and delivery problem 2012 IEEE Congress
on Evolutionary Computation (CEC), Publication Year: 2012, Page(s): 1 - 8
The paper ―A Hybrid Clustering Algorithm based on Multi-Swarm Constriction PSO
and GRASP, DaWaK 2008, Lecture Notes in Computer Science (LNCS) 5182, I.Y.
Song, J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 186-195,
2008‖ is cited by:
799. Mohamed Jafar Abul Hasan, Sivakumar Ramakrishnan, A survey: hybrid
evolutionary algorithms for cluster analysis, Artificial Intelligence Reviews,
(2011), 36, 3, 179-204.
800. Ahmed A. A. Esmin, Rodrigo A. Coelho, Stan Matwin, A review on particle
swarm optimization algorithm and its variants to clustering high-dimensional
data, Artificial Intelligence Review DOI 10.1007/s10462-013-9400-4, 2013
The paper ―A Hybrid Clustering Algorithm based on Honey Bees Mating
Optimization and Greedy Randomized Adaptive Search Procedure, Learning and
Intelligence Optimization - LION 2, Lecture Notes in Computer Science (LNCS) 5313,
V. Maniezzo, R. Battiti and J.P. Watson, Springer-Verlag Berlin Heidelberg, 138-152,
2008‖ is cited by:
801. Dervis Karaboga and Bahriye Akay, A survey: algorithms simulating bee
swarm intelligence, Artificial Intelligence Review, 2009, 31, 1-4, 61-85.
802. Cristina Bianca Pop, Viorica Rozina Chifu, Ioan Salomie, Mihaela
Dinsoreanu, Tudor David, and Vlad Acretoaie, Semantic Web Service
Clustering for Efficient Discovery Using an Ant-Based Method, M. Essaaidi et
al. (Eds.): Intelligent Distributed Computing IV, SCI 315, pp. 23–33,
Springer-Verlag Berlin Heidelberg 2010
803. Konrad Diwold, Madeleine Beekman, and Martin Middendorf, Honeybee
Optimisation – An Overview and a New Bee Inspired Optimisation Scheme,
Handbook of Swarm Intelligence – Concepts, Principles and Applications,
Series on Adaptation, Learning, and Optimization, Springer, 2011, 295-327.
804. Thieme, Frank, Entwurf eines Hummel inspirierten Algorithmus zur
Maschinenbelegungsplanung, Universität Leipzig Fakultät für Mathematik
und Informatik Institut für Informatik, MSc Thesis, September 2010
805. Pop, C.B., Chifu, V.R., Salomie, I., Dinsoreanu, M., David, T., Acretoaie, V.,
Nagy, A., Oprisa, C., Biologically-inspired clustering of semantic Web
services. Birds or ants intelligence?, Concurrency Computation Practice
and Experience 24 (6) , pp. 619-633
806. Chun-Wei Tsai, Wei-Cheng Huang and Ming-Chao Chiang, Recent
Development of Metaheuristics for Clustering, James J. (Jong Hyuk) Park et
al. (eds.), Mobile, Ubiquitous, and Intelligent Computing Lecture Notes in
Electrical Engineering 274, 629 -636, DOI: 10.1007/978-3-642-40675-1_93,
© Springer-Verlag Berlin Heidelberg 2014,
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
92
807. Krause, J., Cordeiro, J., Parpinelli, R.S., Lopes, H.S.A., A Survey of Swarm
Algorithms Applied to Discrete Optimization Problems, Swarm Intelligence
and Bio-Inspired Computation, 2013
The paper ―Honey Bees Mating Optimization Algorithm for the Vehicle Routing
Problem, Nature Inspired Cooperative Strategies for Optimization - NICSO 2007,
Studies in Computational Intelligence, N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta
(Eds.), Springer-Verlag Berlin, Vol. 129, 139-148, 2008‖ is cited by:
808. Amalia Guaymas Canavire and Margarita Ruiz, Un algoritmo HBMO para el
Problema de P-Mediana Capacitada, Reunion Annual de la Union
Matematica, Universidad National del Mar Der Plata, 21-26 September 2009,
Argentina.
809. Belén Melián-Batista,
J. Marcos Moreno-Vega,
Nitesh Vaswani
and
Rayco Yumar, A Nature Inspired Approach for the Uncapacitated Plant Cycle
Location Problem, Studies in Computational Intelligence, Nature Inspired
Cooperative Strategies for Optimization (NICSO 2008), 2009, Vol. 236,
pp. 49-60.
810. Dervis Karaboga and Bahriye Akay, A survey: algorithms simulating bee
swarm intelligence, Artificial Intelligence Review, 2009, 31, 1-4, 61-85.
811. Adriane Beatriz de Souza Serapião, Fundamentos De Otimização Por
Inteligência De Enxames: Uma Visão Geral, Revista Controle &
Automação/Vol.20 no.3/Julho, Agosto e Setembro 2009, 271 – 304
812. Amalia Guaymas Canavire and Margarita Ruiz, Un algoritmo HBMO para el
Problema de P-Mediana Capacitada, Noticiero de la Union Matematica
Argentina, Vol 46, Junio 2010.
813. Bernardino, Eugenia M.; Bernardino, Anabela M.; Sanchez-Perez, Juan
Manuel; Gomez-Pulido, Juan Antonio; Vega-Rodriguez, Miguel Angel;
Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to
concentrators 3rd International Symposium on Applied Sciences in
Biomedical and Communication Technologies (ISABEL), DOI:
10.1109/ISABEL.2010.5702845, 2010 , 1 - 7
814. Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in
Supply Chain Management: A Review of Selected Methods and Applications,
in Supply Chain Optimization, Design, and Management: Advances and
Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios
Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI:
10.4018/9781615206339.ch001
815. Marcos Mansano Furlan, Metodos Heuristicos para o problema de
dimensionamento de lotes multiestagio com limitacao de capacidade, MSc
Thesis, Instituto de Ciencias Matematica e de Computacao, ICMC-USP,
Sao Paolo, Brazil, 2011
816. Qingfang Ruan, Zhengqian Zhang, Lixin Miao, Haitao Shen, A hybrid
approach for the vehicle routing problem with three-dimensional loading
constraints.
Computers
and
Operations
Research
(2011),
doi:10.1016/j.cor.2011.11.013
817. Vahid Azadehgan, M. R. Meybodi, Nafiseh Jafarian and Farshad Jafarieh,
Discrete Binary Honey Bees Mating Optimization with Capability of
Learning, Communications in Computer and Information Science, 1,
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
818.
819.
820.
821.
822.
823.
824.
93
Volume 250, Computational Intelligence and Information Technology, Part 2,
Pages 630-636, Springer, 2011
GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Peihua, Solving material distribution routing problem in mixed manufacturing
systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South
Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer
Xiao-yu Wen, Xin-yu Li, Liang Gao, Hong-yan Sang, Honey bees mating
optimization algorithm for process planning Problem, Journal of Intelligent
Manufacturing, (2014), 25, 459-472, DOI 10.1007/s10845-012-0696-8,
Springer
Yuan, B., Zhang, C., Lian, K., Shao, X. , A hybrid honey-bees mating
optimization algorithm for assembly sequence planning problem, Proceedings
- International Conference on Natural Computation, art. no. 6234568 , pp.
1135-1140, 2012
Qingfang Ruan, Zhengqian Zhang, Lixin Miao, Haitao Shen, A hybrid
approach for the vehicle routing problem with three-dimensional loading
constraints, Computers & Operations Research 40 (2013) 1579–1589
Zahra Saadati Eskandari, Majid Yousefikhoshbakht, Solving the Vehicle
Routing Problem by using an Effective Reactive Bone Route Algorithm,
Transportation Research Journal 1 (2012) 51-67
B. Xing and W.-J. Gao, Bee Inspired Algorithms, Chapter 4, Innovative
Computational Intelligence: A Rough Guide to 134 Clever Algorithms ,
Intelligent Systems Reference Library 62, DOI: 10.1007/978-3-319-034041_4, Springer International Publishing Switzerland 2014, 45-80
Kanjana Ruttanateerawichien, Werasak Kurutach, and Tantikorn Pichpibul An
Improved Golden Ball Algorithm for the Capacitated Vehicle Routing
Problem, L. Pan et al. (Eds.): BIC-TA 2014, CCIS 472, pp. 341–356, 2014. ©
Springer-Verlag Berlin Heidelberg 2014
The paper ―Cost allocation in Combinatorial Optimization Games, Pareto Optimality,
Game Theory and Equilibria, A. Chinchuluun et al. (eds.), Springer, 217-247, 2008‖
is cited by:
825. Pearl C. C. Shum, Vincent T.Y. Ng, Multi-Agent System for Shipper‘s Truck
Freight Collaboration, Proceedings of the 2011 15th International
Conference on Computer Supported Cooperative Work in Design, 978-14577-0387-4/11 ©2011 IEEE 319 - 323
The paper ―A Hybrid Particle Swarm Optimization Algorithm for Clustering
Analysis, DaWaK 2007, Lecture Notes in Computer Science (LNCS) 4654, I.Y. Song,
J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 241-250, 2007‖
is cited by:
826. Mohamed Jafar Abul Hasan, Sivakumar Ramakrishnan, A survey: hybrid
evolutionary algorithms for cluster analysis, Artificial Intelligence Reviews,
(2011), 36, 3, 179-204.
827. Ahmed A. A. Esmin, Rodrigo A. Coelho, Stan Matwin, A review on particle
swarm optimization algorithm and its variants to clustering high-dimensional
data, Artificial Intelligence Review DOI 10.1007/s10462-013-9400-4, 2013
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
94
The paper ―Heuristic Solutions of Vehicle Routing Problems in Supply Chain
Management, Combinatorial and Global Optimization, P.M. Pardalos et al. (eds.),
Scientific World, 205-235, 2002‖ is cited by:
828. Zhao, Y.W, Wu, B., Jiang, L., Dong, H.Z., Wang, W.L. Double Populations
Genetic Algorithm for Vehicle Routing Problem, Computer Integrated
Manufacturing Systems 2004 Vol.10 No.3 p.303-306
829. JIU Rubrico, J. Ota, H. Tamura, M. Akiyoshi, T. Hiqashi, Route Generation
for Warehouse Management Using Fast Heuristics, IEEE, 2004
International Conference on Intelligent Robots and Systems 2004, (IROS
2004), 2093 – 2098.
830. A. Bonfill, C. Mendez, A. Espuña and L. Puigjaner. Coordinating Production
and Transport Scheduling in SCM through Rigorous and Heuristic - Based
Methods, AiChe 2005 Annual Meeting (Cincinati, OH). Conference
Proceedings, Omnipress 2005, p. 342-346.
831. A. Bonfill. Proactive management of uncertainty to improve scheduling
robustness in process industries, Ph.D. Thesis, Universitat Politechnica of
Catalunya, Barcelona, Spain, 2006.
832. Arturo Bezerra Acioli Toscano Filho, Um Ambiente na Web para Otimização
do Transporte de Passageiros sob Regime de Fretamento, Ph.D. Thesis,
UNIVERSIDA DE FORTALEZA, Brazil, 2006
833. Méndez, C.A., Bonfill, A., Espuña, A., Puigjaner, L.. A rigorous approach to
coordinate production and transport scheduling in a multi-site system. A:
16th European Symposium on Computer Aided Process Engineering and
9th International Symposium on Process Systems Engineering. Elsevier,
Amsterdam (Ed. W. Marquardt and C. Pantelides), 2006, p. 2171-2176.
834. Huan Arturo Herrera Ortiz, Desarrollo de una Metodología Basada en
Heurísticas para la Solución Integral de Problemas de Asignación de Rutas,
Horarios y Cargas en el Proceso de Distribución y Entrega de Productos,
MSc Thesis, Instituto Technologico de Cd. Madero, Mexico
835. Y. Kim, D.W. Gu and I. Postlethwaite, Real-Time Optimal Time-Critical
Target Assignment for UAVs, M.J. Hirsch et al. (Eds.): Advances in
Cooperative Control and Optimization, Lecture Notes in Control and
Information Sciences, Vol 369, pp. 265-280, 2007.
836. Y. Kim, D.W. Gu and I. Postlethwaite, Real-Time Optimal Mission Scheduling
and Flight Path Selection, IEEE Transactions on Automatic Control, Vol.
52, No. 6, pp. 1119 – 1123, June 2007
837. Dusan Salaj. Vehicle Routing Problem Metody Riesenia, Diplomova Praca,
Katedra Informatiky, Fakulta Matematiky, Fyziky and Informatiky Unevirzita
Komenskeho, Bratislava, May 2007.
838. Ettiene Pozzobom Lazzeris Simas, Utilizando a Busca Tabu na Resolucao do
Problema de Roteamento de Veiculos, MSc Thesis, Universidade do Vale do
Rio dos Sinos, 2007.
839. Irwan Hadi Praytino, Pengembangan Model Optimasi Pengangkutan Sampah
Di Jakarta Pusat, Ph.D Thesis, Departemen Matematika Fakultas Matematika
Dan Ilmu Pengetahuan Alam Institut Pertanian Bogor, 2007
840. Bonfill, A. Espuña and L. Puigjaner, Decision support framework for
coordinated production and transport scheduling in SCM, Computers and
Chemical Engineering (2008), 32, 1214-1232
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
95
841. Vanessa de Oliveira Ferreira, Vitória Pureza, UMA EXTENSÏO DA
HEURÏSTICA DE CLARKE E WRIGHT PARA DESIGNAÏÏO DE
ENTREGADORES EXTRAS EM ROTAS DE VEÏCULOS,
XXX
ENCONTRO NACIONAL DE ENGENHARIA DE PRODUÇÃO
Maturidade e desafios da Engenharia de Produção: competitividade das
empresas, condições de trabalho, meio ambiente. São Carlos, SP, Brasil, 12
a15 de outubro de 2010.
842. Pedro Joaquim Oliveira Lopes, Aplicação de Algoritmos Genéticos na
Determinação de Circuitos Óptimos de Recolha de Resíduos Sólidos Urbanos,
Tese de Mestrado, Departamento de Engenharia Química, 2008,
Universidade de Porto, Portugal.
843. Ertan Yakıcı · Orhan Karasakal, A min–max vehicle routing problem with
split delivery and heterogeneous demand, Optimization Letters, DOI
10.1007/s11590-012-0571-8
The paper ―A Honey Bees Mating Optimization Algorithm for the Open Vehicle
Routing Problem, GECCO: 2011, Genetic and Evolutionary Computation
Conference, 2011‖, is cited by:
844. Vahid Azadehgan, Payam Khanteimouri, Sorayya Akbari, Niusha Ghandehari,
A Collaborative Approach for LA-DHBMO, Applied Mathematics, 2012, 3,
1442-1447 doi:10.4236/am.2012.330203 Published Online October 2012
(http://www.SciRP.org/journal/am)
845. Randal S. Olson, David B. Knoester, and Christoph Adami, Critical Interplay
Between Density-dependent Predation and Evolution of the Selfish Herd,
GECCO’13, July 6–10, 2013, Amsterdam, The Netherlands. Copyright 2013
ACM 978-1-4503-1963-8/13/07
846. N. Larbi, F. Debbat, A. Boudghene Stambouli, Multiuser Detection For DSCDMA Systems Using Honeybees Mating Optimization Algorithm, Arab J
Sci Eng (2014) 39:4911–4921 DOI 10.1007/s13369-014-1198-0
The paper ―A Hybrid Discrete Artificial Bee Colony – GRASP Algorithm for
Clustering‖, 39th International Conference on Computers and Industrial Engineering,
2009‖ is cited by:
847. R.S. Parpinelli and H.S. Lopes, New inspirations in swarm intelligence: a
survey, International Journal of Bio-Inspired Computation, Volume 3,
Number 1 / 2011, 1 – 16
848. K. Ayan and U. Kılıç, Optimal Güç Akışı Probleminin Çözümü İçin GA, MA
ve YAK Algoritmalarının Karşılaştırılmas, 6th International Advanced
Technologies Symposium (IATS’11), 16-18 May 2011, Elazığ, Turkey
849. Haiyan Zhao, Zhili Pei, Jingqing Jiang, Renchu Guan, Chaoyong
Wang;Xiaohu Shi, A Hybrid Swarm Intelligent Method Based on Genetic
Algorithm and Artificial Bee Colony, Advances in Swarm Intelligence,
2011, 558-565
850. Oleynik, A. Subbotin, S., Bee colony optimization for clustering, Modern
Problems of Radio Engineering, Telecommunications and Computer
Science (TCSET), 2010, 23-27 Feb. 2010
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
96
851. Wei-Ping Lee and Wan-Ting Cai, A Novel Artificial Bee Colony Algorithm
with Diversity Strategy, 2011 Seventh International Conference on Natural
Computation, 978-1-4244-9953-3/11/2011 IEEE, 1441-1444
852. Mohammad Ali Shafia, Mohammad Rahimi Moghaddam, Rozita Tavakolian,
A Hybrid Algorithm for Data Clustering Using Honey Bee Algorithm, Genetic
Algorithm and K-Means Method, Journal of Advanced Computer Science
and Technology Research 1 (2011) 110-125
853. K. Ayan, U. Kilic¸, Artificial Bee Colony Algorithm Solution For Optimal
Reactive Power Flow, Applied Soft Computing Journal (2012), 12, 5, 14771482.
854. Dervis Karaboga, Beyza Gorkemli, Celal Ozturk, Nurhan Karaboga, A
comprehensive survey: artificial bee colony (ABC) algorithm and applications,
Artifficial Intelligence Review, (2014), 42, 21-57, DOI 10.1007/s10462-0129328-0
855. W. Wongthatsanekorn, B. Phruksaphanrat, and R.Sangkhasuk, Applying Bee
Colony Optimization Heuristic for Make-Pack Problem in Process
Manufacturing, Proceedings of the International Multi-Conference of
Engineers and Computer Scientists, 2012 Vol II, IMECS 2012, March 1416 2012, Hong Kong, ISBN 978-988-19251-9-0
856. Ayan, K., Kilic, U., Solution of multi-objective optimal power flow with
chaotic artificial bee colony algorithm, International Review of Electrical
Engineering 6 (3) , pp. 1365-1371
857. Fahad S. Abu-Mouti, Mohamed E. El-Hawary, Overview of Artificial Bee
Colony (ABC) Algorithm and Its Applications, 2012 IEEE International
Systems Conference (SysCon), 19-22 March 2012
858. Karaboga, D., Gorkemli, B., A quick artificial bee colony -qABC- algorithm
for optimization problems, INISTA 2012 - International Symposium on
INnovations in Intelligent SysTems and Applications, art. no. 6247010,
2012
859. Rafael S. Parpinelli, Fábio R. Teodoro and Heitor S. Lopes, A comparison of
swarm intelligence algorithms for structural engineering optimization,
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN
ENGINEERING (2012), Published online in Wiley Online Library
(wileyonlinelibrary.com). DOI: 10.1002/nme.4295, Copyright 2012 John
Wiley & Sons, Ltd.
860. S.-M. Chen et al., Simulated annealing based artificial bee colony algorithm
for global numerical optimization, Applied Mathematics and Computation
(2012), 219(8), 3575-3589.
861. Li, X.-B., Liu, L., Ma, K., Cognitive radio spectrum allocation based on
discrete artificial bee colony algorithm, Xi Tong Gong Cheng Yu Dian Zi Ji
Shu/Systems Engineering and Electronics 34 (10) , pp. 2136-2141, 2012
862. D.Akila and C.Jayakumar, Link-based Ensemble Approach for Web
Information Retrieval Using Honey Bee and K-Means Algorithm,
International Journal of Advanced Research in Computer Science and
Software Engineering, Volume 2, Issue 11, November 2012 ISSN: 2277
128X, 75-81
863. Kamalam Balasubramani, Karnan Marcus, A Comprehensive review of
Artificial Bee Colony Algorithm, International Journal of Computers &
Technology Volume 5, No. 1, May -June, 2013, ISSN 2277-3061
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
97
864. Ayan, K., Kiliç, U. , Solution of transient stability-constrained optimal power
flow using artificial bee colony algorithm, Turkish Journal of Electrical
Engineering and Computer Sciences 21 (2) , pp. 360-372, 2013
865. Bansal, J.C., Sharma, H., Jadon, S.S. , Artificial bee colony algorithm: A
survey, International Journal of Advanced Intelligence Paradigms 5 (1-2) ,
pp. 123-159, 2013
866. Salima Ouadfel, Souham Meshoul, Handling Fuzzy Image Clustering with a
Modified ABC Algorithm, International Journal of Intelligent Systems and
Applications(IJISA), Vol. 4, No. 12, November 2012, 65-74
867. Liu, T., Zhang, L., Zhang, J., Study of binary artificial bee colony algorithm
based on particle swarm optimization, Journal of Computational
Information Systems 9 (16) , pp. 6459-6466, 2013
868. Krause, J., Cordeiro, J., Parpinelli, R.S., Lopes, H.S.A., A Survey of Swarm
Algorithms Applied to Discrete Optimization Problems, Swarm Intelligence
and Bio-Inspired Computation, 2013
869. ASAJU LA‘ARO BOLAJI, AHAMAD TAJUDIN KHADER, MOHAMMED
AZMI AL-BETAR AND MOHAMMED A. AWADALLAH, ARTIFICIAL
BEE COLONY ALGORITHM, ITS VARIANTS AND APPLICATIONS: A
SURVEY, Journal of Theoretical and Applied Information Technology, 47
(2), 434-459, 2013
870. Hati, A.N. ; Darbar, R. ; Jana, N.D. ; Sil, J., Modified Artificial Bee Colony
Algorithm using differential evolution and polynomial mutation for realparameter optimization, 2013 International Conference on Advances in
Computing, Communications and Informatics (ICACCI), 22-25 Aug.
2013, Mysore, 534-539, DOI: 10.1109/ICACCI.2013.6637228
871. R.J. Kuo, Y.D. Huang, Chih-Chieh Lin, Yung-Hung Wu, Ferani E. Zulvia,
Automatic kernel clustering with bee colony optimization Algorithm,
Information Sciences 283 (2014) 107–122
872. Dervis Karaboga, Beyza Gorkemli, A quick artificial bee colony (qABC)
algorithm and its performance onoptimization problems, Applied Soft
Computing 23 (2014) 227–238
The paper ―A Hybrid Honey Bees Mating Optimization Algorithm for the
Probabilistic Traveling Salesman Problem, IEEE Congress on Evolutionary
Computation (CEC 2009)‖ is cited by:
873. Y-H. Liu, Different Initial Solution Generators in Genetic Algorithms for
Solving the Probabilistic Traveling Salesman Problem, Applied Mathematics
and Computation (2010), 216, 1, 125-137.
874. Kang, Q.-M., He, H., Song, H.-M., Deng, R., Task Allocation for Maximizing
Reliability of Distributed Computing Systems Using Honeybee Mating
Optimization, The Journal of Systems and Software (2010), 83, 11, 21652174.
875. Hasan Jalili. Ahmadreza Amirzadeh, Alireza Noorafkan and Golsoom Jalili,
A new evolutionary algorithm based on data sharing concept for solving
optimization problems, Scientific Research and Essays Vol. 6(23), pp. 50825090, 16 October, 2011, ISSN 1992-2248, Academic Journals.
876. Mohamed Firdhous, Osman Ghazali, and Suhaidi Hassan, Applying Bees
Algorithm for Trust Management in Cloud Computing, E. Hart et al. (Eds.):
BIONETICS 2011, LNICST 103, pp. 224–229, 2012.
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
98
877. Xiao-yu Wen, Xin-yu Li, Liang Gao, Hong-yan Sang, Honey bees mating
optimization algorithm for process planning Problem, Journal of Intelligent
Manufacturing, (2014), 25, 459-472, DOI 10.1007/s10845-012-0696-8,
Springer
878. Tomáš Čeleda, OPTIMALIZACE PÁŘENÍM VČELÍ KRÁLOVNY, ČESKÉ
VYSOKÉ
UČENÍ
TECHNICKÉ
V
PRAZE
FAKULTA
ELEKTROTECHNICKÁ, MSc. Thesis, Praha 2011
879. Shiliang Luo, XuLu, Lianglun Cheng TSOIA: An efficient node selection
algorithm facing the uncertain process for Internet of Things. Journal of
Network
and
Computer
Applications
(2013),
http://dx.doi.org/10.1016/j.jnca.2012.12.015i
880. Stacy A. Voccia, Ann M. Campbell, Barrett W. Thomas, The probabilistic
traveling salesman problem with time windows, EURO Journal of
Transportation and Logistics (2013) 2:89–107
881. Huang, S.-J., Liu, X.-Z., Su, W.-F., Ou, T.-C., Application of Enhanced HoneyBee Mating Optimization Algorithm to Fault Section Estimation in Power
Systems IEEE Transactions on Power Delivery, (Volume:28 , Issue: 3 ),
1944 – 1951, 2013
882. Biao Yuan, Chaoyong Zhang, Xinyu Shao, Zhibin Jiang, An effective hybrid
honey bee mating optimization algorithm for balancing mixed-model twosided assembly lines, Computers & Operations Research 53 (2015) 32–
41
883. N. Larbi, F. Debbat, A. Boudghene Stambouli, Multiuser Detection For DSCDMA Systems Using Honeybees Mating Optimization Algorithm, Arab J
Sci Eng (2014) 39:4911–4921 DOI 10.1007/s13369-014-1198-0
The paper ―Optimal Structural and Mechanism Design using Topology Optimization,
International Conference on Modeling and Simulation 08, 18-20 November 2008,
Petra, Jordan‖ is cited by:
884. M. Frantová, P. Štemberk, V. Vala, Application of strut-and-tie model on
eccentric columns, ISSN 1392 - 1207. MECHANIKA. 2011. 17(2): 126-131
The paper ―Particle Swarm Optimization Approach for Fuzzy Control of Smart
Structures, 6th International Conference on Engineering Computational Technology
(ECT 2008)‖ is cited by:
885. Tairidis, G.K., Stavroulakis, G.E., Marinova, D. and Zacharenackis, E.,
Classical and soft robust control of smart beams, Computational Structural
Dynamics and Earthquake Engineering, Papadrakakis et al. (Eds), CRC
Press 2009, 165-178
The paper ―Honey Bees Mating Optimization for the Location Routing Problem,
IEEE International Engineering Management Conference (IEMC – Europe 2008)‖ is
cited by:
886. Shin-Guang Lai, Marriage in Honey Bees Algorithm-Aided Capacitor
Placement for Electric Power Distribution Systems, PhD Thesis, National
Cheng Kung University, China, 2009
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
99
887. Adriane Beatriz de Souza Serapião, Fundamentos De Otimização Por
Inteligência De Enxames: Uma Visão Geral, Revista Controle &
Automação/Vol.20 no.3/Julho, Agosto e Setembro 2009, 271 - 304
888. Tsung-Heng Chen, The study of mobile sink movement scheduling
optimization in wireless sensor networks, MSc Thesis, National Cheng Kung
University, China, 2010
889. Bernardino, Eugenia M.; Bernardino, Anabela M.; Sanchez-Perez, Juan
Manuel; Gomez-Pulido, Juan Antonio; Vega-Rodriguez, Miguel Angel;
Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to
concentrators 3rd International Symposium on Applied Sciences in
Biomedical and Communication Technologies (ISABEL), DOI:
10.1109/ISABEL.2010.5702845, 2010 , 1 - 7
890. Karaoglan I, Altiparmak F. A memetic algorithm for the capacitated locationrouting problem with mixed backhauls. Computers and Operations
Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.009i
891. Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A solution method for a twolayer sustainable supply chain distribution model, Computers and
Operations Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.015i
892. Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A case analysis of a sustainable
food supply chain distribution system—A multi-objective approach, Int. J.
Production Economics 152 (2014) 71–87
The paper ―Training Neural Network Based Models Using Trading Related Objective
Functions, NISIS 2007, 3rd Annual Symposium, 26-27 November 2007, St Julians,
Malta‖ is cited by:
893. Papaconstantis, E 2009, Competitive co-evolution of trend reversal indicators
using particle swarm optimisation, MSc dissertation, University of Pretoria,
Pretoria
The paper ―Nature Inspired Intelligent Techniques for Pap Smear Diagnosis: Ant
Colony Optimization for Cell Classification‖, The Pap Smear Benchmark, Intelligent
and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session
Proceedings of the NISIS - 2006 Symposium, 35 - 45, 2006‖ is cited by:
894. Andromaxi Bafiadi, Classification of Patients with Cancer using data from the
Pap-smear test, MSc Thesis, University of Ioannina, Greece, 2009.
895. RamaPraba P.S, Ranganathan H., TEXTURE BASED ANALYSIS AND
CONTOUR DETECTION OF CERVICAL SMEAR IMAGE, International
Journal on Intelligent Electronic Systems, Vol. 5, No.1, January 2011
The paper ―Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on
Genetic Algorithm Based Feature Selection and Nearest Neighbor Classification, The
Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear
Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 15-24, 2006‖
is cited by:
896. J. Jantzen et al. Analysis of Pap-Smear Image Data, The Pap Smear
Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear
Βηνγξαθηθό ΢εκείσκα Γξ. Ησάλλε Μαξηλάθε
100
Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 5 13, November 29- December 1, 2006, Puerto de la Cruz, Tenerife, Spain.
897. C. Duanggate, B. Uyyanonvara, and T. Koanantakul, A Review of Image
Analysis and Pattern Classification Techniques for Automatic Pap Smear
Screening Process, The 2008 International Conference on Embedded
Systems and Intelligent Technology February 27-29, 2008, Grand Mercure
Fortune Hotel, Bangkok, Thailand.
898. Pilar Sobrevilla, Eduard Montseny, Fabio Vaschetto, Enrique Lerma, Fuzzybased analysis of microscopic color cervical pap smear images: nuclei
detection, International Journal of Computational Intelligence and
Applications (IJCIA), Volume: 9, Issue: 3(2010) pp. 187-206
DOI:
10.1142/S1469026810002860
899. Andromaxi Bafiadi, Classification of Patients with Cancer using data from the
Pap-smear test, MSc Thesis, University of Ioannina, Greece, 2009.
The paper ―Nearest Neighbor Based Pap Smear Cell Classification Using Tabu Search
for Feature Selection, The Pap Smear Benchmark, Intelligent and Nature Inspired
Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS 2006 Symposium, 25-34, 2006‖ is cited by:
900. J. Jantzen et al. Analysis of Pap-Smear Image Data, The Pap Smear
Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear
Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 5 13, November 29- December 1, 2006, Puerto de la Cruz, Tenerife, Spain.
901. C. Duanggate, B. Uyyanonvara, and T. Koanantakul, A Review of Image
Analysis and Pattern Classification Techniques for Automatic Pap Smear
Screening Process, The 2008 International Conference on Embedded
Systems and Intelligent Technology February 27-29, 2008, Grand Mercure
Fortune Hotel, Bangkok, Thailand.
902. Pilar Sobrevilla, Eduard Montseny, Fabio Vaschetto, Enrique Lerma, Fuzzybased analysis of microscopic color cervical pap smear images: nuclei
detection, International Journal of Computational Intelligence and
Applications (IJCIA), Volume: 9, Issue: 3(2010) pp. 187-206
DOI:
10.1142/S1469026810002860
903. Andromaxi Bafiadi, Classification of Patients with Cancer using data from the
Pap-smear test, MSc Thesis, University of Ioannina, Greece, 2009.
904. RamaPraba P.S, Ranganathan H., TEXTURE BASED ANALYSIS AND
CONTOUR DETECTION OF CERVICAL SMEAR IMAGE, International
Journal on Intelligent Electronic Systems, Vol. 5, No.1, January 2011
905. Luz Helena Camargo Casallas, Classification of squamous cell cervical
cytology, Thesis submitted in partial fulfillment of the requirements for
the degree of: Magister en Ingeniera Biomedica, Universidad Nacional de
Colombia Departamento de Imagenes Diagnosticas Bogota D.C., Colombia
2012