Download Nature inspired methods in Industry Applications

IEEE Transactions on Industrial Informatics
CALL FOR PAPERS
for Special Section on
" Nature inspired methods in Industry Applications "
The Theme: Nature Inspired Methods (NIM) are a wide range of the algorithms which are used very often to solve the real-world
optimization problems. Some of the real-world optimization problems are very complex, therefore the application of methods that mimic
some natural processes and phenomena, which are very robust adaptive system, becomes more popular. One can find many different
methods that imitate some natural processes, we mention here only a few most popular. They are: Evolutionary Algorithms (EA), Ant
Colony Optimization (ACO), Swarm Intelligence (SI), Artificial Immune Systems (AIS), and others. Recently, hybrid methods become
developed and applied. They are interesting because they reveal advantages of combined methods eliminating their drawbacks.
This Special Section on “Nature inspired methods in Industry Applications” is focused on the development, adaptation and application
of the methods inspired by nature in real-life engineering applications.
Topics include, but are not limited to, the following research topics:
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Genetic algorithms in real-life applications
Differential evolution algorithm in real-life applications
Genetic programming in real-life applications
Particle swarm optimization algorithm in real-life applications
Ant colony optimization algorithm in real-life applications
Artificial Immune Systems in real-life applications
Swarm Intelligence in real-life applications
Bee algorithms in real-life applications
Hybrid approach to real life problems with use of nature inspired methods
Others in the scope of this issue
Papers discussing new industrial applications and the resulting a newly developed nature inspire approach/hybrid are especially welcome.
All contributions have to be original, unpublished, and not submitted for publication. Results obtained by simulations must be validated
in bounds by experiments or analytical results.
Manuscript Preparation and Submission
Follow the guidelines in “Information for Authors” in the IEEE Transaction on Industrial Informatics http://tii.ieee-ies.org/
Please submit your manuscript in electronic form through Manuscript Central web site: http://mc.manuscriptcentral.com/tii. On the
submitting page #1 in popup menu of manuscript type, select: SS on Nature inspired methods in Industry Applications
Submissions to this Special Section must represent original material that has been neither submitted to, nor published in, any other journal.
Before submitting manuscript check the review criteria (http://tii.ieee-ies.org/o/RC.pdf).
Note: The recommended papers for the section are subject to final approval by the Editor-in-Chief. Some papers may be published outside
the special section, at the EIC discretion.
Timetable:
Deadline for manuscript submissions
May 31, 2017
Expected publication date (tentative)
February, 2018
Guest Editors:
Adam Slowik, Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland
tel: +48-94-3478733, fax:+48-94-3433479, [email protected]
Halina Kwasnicka, Head of the Department of Computational Intelligence, Wroclaw University of Science and
Technology, Wroclaw, Poland, tel: +48 71 320 35 34, fax: +48 321 1018,
[email protected]
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Editor-in-Chief: Prof. Dr.-Ing; Dipl.-Ing Ren C. Luo
http://tii.ieee-ies.org/
[email protected]