Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
第34回ISCIE「確率システム理論と応用」国際シンポジウム(2002年10-11月, 福岡)
Elite Correlation Selection Operator : A new selection operator to improve the diversity in genetic algorithm
Minoru ITOMasanori SUGISAKA
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2003 年 2003 巻 p. 142-147

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In this paper, we propose the Elite Correlation Selection (ECS) operator as a new selection operator to improve the genotype diversity in genetic search process. In the proposed method, the candidate for selection are evaluated the genotype similarity among individuals, and the individual is selected based on the above new evaluated values. As a measure of the similarity, the authors use the hamming distance of the genotype. The proposed method also is the improvement of the selection operator of the Minimal Generation Gap (MGG) model. The performance of the proposed method is evaluated with the standard test functions. The performance of the proposed method are compared with the MGG model and the Simple Genetic Algorithm (SGA). The simulation results show that the proposed method is very effective.
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© 2003 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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