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Adapted Dynamic Program to Find Shortest Path in a Network
Adapted Dynamic Program to Find Shortest Path in a Network

... Abstract. We adapt a dynamic program to find the shortest path in a network having normal probability distributions as arc lengths. Two operators of sum and comparison need to be adapted for the proposed dynamic program. Convolution approach is used to sum two normal probability distributions being ...
Simulated annealing with constraints aggregation for control of the
Simulated annealing with constraints aggregation for control of the

NIH Public Access - iGRAD
NIH Public Access - iGRAD

... Formulation of an FBA problem.(a) First, a metabolic network reconstruction is built, consisting of a list of stoichiometrically balanced biochemical reactions. (b) Next, this reconstruction is converted into a mathematical model by forming a matrix (labeled S) in which each row represents a metabol ...
Computation of Switch Time Distributions in Stochastic Gene Regulatory Networks
Computation of Switch Time Distributions in Stochastic Gene Regulatory Networks

... Fig. 1. (a): A Markov chain for a two species chemically reacting system, M. The process begins in the configuration shaded in grey and undergoes three reactions: The first reaction ∅ → s1 results in a net gain of one s1 molecule and is represented by right arrows. The second reaction s1 → ∅ results ...
Book Proposal Form
Book Proposal Form

2.1 Pairwise Alignment
2.1 Pairwise Alignment

... Proof: [3] (chapter 12) For any xed position k 0 in T , there is an alignment of S and T consisting of an alignment of S1 : : :S 2 and T1 : : : Tk0 followed by a disjoint alignment of S 2 +1 : : :Sn and Tk0 +1 : : : Tm. By de nition of V and V r , the best alignment of the rst type has value V ( n ...
Master of Mathematics
Master of Mathematics

... Computer Science and Statistics. This programme has two objectives; ...
ppt
ppt

... 1. Sense the channel. 2. IF the channel is idle, THEN with probability p transmit and with probability (1-p) delay for one time slot and start over. 3. IF the channel is busy, THEN delay one timeslot and start over. Networks: Local Area Networks ...
Lecture - Department of Computing
Lecture - Department of Computing

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Curriculum Vitae

... `On noncommutative dynamical systems’ – part of the graduate school Recent Advances in Operator Theory and Operator Algebras.  Będlewo (Poland), May 2011 ‘On quantum dynamical systems from the noncommutative mathematics' perspective' – part of the Spring School on Dynamical Systems.  Gyeong-Ju, Fe ...
Topic-based Multi-document Summarization using Differential
Topic-based Multi-document Summarization using Differential

... This paper describes a method of multidocument summarization with evolutionary computation. In automatic document summarization, the method to make a summary by finding the best combination of important sentences in target documents is popular approach. To find the best combination of sentences, exp ...
10-AntColony
10-AntColony

... • On larger problems converged to good solutions – but not the best • On “static” problems like TSP hard to beat specialist algorithms • Ants are “dynamic” optimizers – should we even expect good performance on static problems • Coupling ant with local optimizers gave world class results…. ...
Process optimization of pointing of the onboard weapon
Process optimization of pointing of the onboard weapon

copenhagen 1996
copenhagen 1996

... Solve the linear relaxation of the problem. If the solution is integer, then we are done. Otherwise create two new subproblems by branching on a fractional variable. A subproblem is not active when any of the following occurs:  you have already used the subproblem to branch on  all variables in th ...
On the Computation of Confluent Hypergeometric Functions for
On the Computation of Confluent Hypergeometric Functions for

... These type of integrals can be solved using specialized adaptive routines, such as the routine gsl integration qawo from the GNU Scientific Library [2]. This routine combines Clenshaw-Curtis quadrature with Gauss-Kronrod integration. Numerical examples can be found in [8], which show that this metho ...
Introduction to mathematical fuzzy logic
Introduction to mathematical fuzzy logic

... Originating as an attempt to provide solid logical foundations for fuzzy set theory, and motivated also by philosophical and computational problems of vagueness and imprecision, mathematical fuzzy logic (MFL) has become a significant subfield of mathematical logic. Research in this area focuses on m ...
A new measure of heterogeneity of complex
A new measure of heterogeneity of complex

... to intentional attacks. Moreover, it is found that homogeneous networks are more synchronizable than heterogeneous ones, even though the average network distance is larger[7]. Consequently, the measure and analysis of heterogeneity is important and desirable to research the behaviours and functions ...
Reference Point Based Multi-objective Optimization Through
Reference Point Based Multi-objective Optimization Through

PPT - OptiRisk Systems
PPT - OptiRisk Systems

... Computational results Out-of-sample stability: Asset Allocation Problem Mean-CVaR Model ...
Gene Expression Programming
Gene Expression Programming

... The interplay of chromosomes (replicators) and expression trees (phenotype) in GEP implies an unequivocal translation system for translating the language of chromosomes into the language of expression trees (ETs). The structural organization of GEP chromosomes presented in this work allows a truly f ...
Gene Expression Programming: A New Adaptive
Gene Expression Programming: A New Adaptive

Complex Systems paper - Gene Expression Programming
Complex Systems paper - Gene Expression Programming

... The interplay of chromosomes (replicators) and expression trees (phenotype) in GEP implies an unequivocal translation system for translating the language of chromosomes into the language of expression trees (ETs). The structural organization of GEP chromosomes presented in this work allows a truly f ...
Slide 1
Slide 1

... Mathematical programming includes the study of the mathematical structure of optimization problems, the invention of methods for solving these problems, the study of the mathematical properties of these methods, and the implementation of these methods on computers. Faster computers have greatly expa ...
Ten years research and the art of Chemometrics
Ten years research and the art of Chemometrics

... The “art“ of Chemometrics What is difficult in doing chemometrics is how to determine if a particular technique is appropriate for a given problem and how to properly interpret the results provided by that technique. This is what is called the “ art “ of chemometrics ...
wang97geneticbased.pdf
wang97geneticbased.pdf

... range of optimization problems, including well-known NP-complete and NP-hard problems, scheduling and routing, configuration, and layout design[3]. They were modeled and developed by Holland in 1975[5] to mimic the processes found in natural evolution. ...
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Natural computing

Natural computing, also called natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of novel problem-solving techniques; 2) those that are based on the use of computers to synthesize natural phenomena; and 3) those that employ natural materials (e.g., molecules) to compute. The main fields of research that compose these three branches are artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, fractal geometry, artificial life, DNA computing, and quantum computing, among others.Computational paradigms studied by natural computing are abstracted from natural phenomena as diverse as self-replication, the functioning of the brain, Darwinian evolution, group behavior, the immune system, the defining properties of life forms, cell membranes, and morphogenesis. Besides traditional electronic hardware, these computational paradigms can be implemented on alternative physical media such as biomolecules (DNA, RNA), or trapped-ion quantum computing devices.Dually, one can view processes occurring in nature as information processing. Such processes include self-assembly, developmental processes, gene regulation networks, protein-protein interaction networks, biological transport (active transport, passive transport) networks, and gene assembly in unicellular organisms. Efforts tounderstand biological systems also include engineering of semi-synthetic organisms, and understanding the universe itself from the point of view of information processing. Indeed, the idea was even advanced that information is more fundamental than matter or energy. The Zuse-Fredkin thesis, dating back to the 1960s, states that the entire universe is a huge cellular automaton which continuously updates its rules.Recently it has been suggested that the whole universe is a quantum computer that computes its own behaviour.
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