Modifications of real code genetic algorithm for global optimization

A series of modifications to the real coded genetic algorithm for the task of locating the global minimum of multidimensional functions are presented here. These modifications include a new stopping rule, a novel mutation mechanism and a periodically application of a local search procedure. The prop...

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Bibliographic Details
Published inApplied mathematics and computation Vol. 203; no. 2; pp. 598 - 607
Main Author Tsoulos, Ioannis G.
Format Journal Article
LanguageEnglish
Published New York, NY Elsevier Inc 15.09.2008
Elsevier
Subjects
Calculus of variations and optimal control
Exact sciences and technology
Genetic algorithms
Global optimization
Mathematical analysis
Mathematics
Mutation
Numerical analysis
Numerical analysis. Scientific computation
Numerical methods in mathematical programming, optimization and calculus of variations
Sciences and techniques of general use
Stochastic procedure
Stopping rules
Stopping rules
Global optimization
Mutation
Stochastic procedure
Genetic algorithms
Numerical analysis
Genetic algorithm
Applied mathematics
Optimization method
Mathematical programming
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ISSN0096-3003
1873-5649
DOI10.1016/j.amc.2008.05.005

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Summary:A series of modifications to the real coded genetic algorithm for the task of locating the global minimum of multidimensional functions are presented here. These modifications include a new stopping rule, a novel mutation mechanism and a periodically application of a local search procedure. The proposed modifications are tested on a series of optimization problems and the results are reported.
ISSN:0096-3003
1873-5649
DOI:10.1016/j.amc.2008.05.005