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A species conserving genetic algorithm for multimodal function optimization.

No / This paper introduces a new technique called species conservation for evolving paral-lel subpopulations. The technique is based on the concept of dividing the population into several species according to their similarity. Each of these species is built around a dominating individual called the species seed. Species seeds found in the current gen-eration are saved (conserved) by moving them into the next generation. Our technique has proved to be very effective in finding multiple solutions of multimodal optimiza-tion problems. We demonstrate this by applying it to a set of test problems, including some problems known to be deceptive to genetic algorithms.

Identiferoai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/3532
Date January 2002
CreatorsLi, Jian-Ping, Balazs, M.E., Parks, G.T., Clarkson, P.J.
Source SetsBradford Scholars
LanguageEnglish
Detected LanguageEnglish
TypeArticle, No full-text available in the repository

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