Multi Population Genetic Algorithm on Solving Multimodal Function

Hao Wen; Han Bin Chen

doi:10.4028/www.scientific.net/AMM.321-324.2042

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324Multi Population Genetic Algorithm on Solving...

Multi Population Genetic Algorithm on Solving Multimodal Function

Abstract:

This paper studies the way to solve extreme value of the nonlinear multi-peak function by using the multi-population genetic algorithm (MPGA). With the analysis of the advantages and defects of the standard genetic algorithm (SGA),the paper, This paper is use the population genetic algorithm to achieve the optimization and verification with Simulation for solving the extreme value of the nonlinear multi-peak function, which in order to achieve the solution with higher accuracy and higher efficiency. And make the analysis for the premature convergence that existed in SGA by comparing the standard genetic algorithm simulation results with that form the MPGA.

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Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

2042-2046

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.2042

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Online since:

June 2013

Authors:

Hao Wen, Han Bin Chen

Keywords:

Chromosome, Immigrant-Operator, MPGA, Selecting-Operator

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