An Adaptive Niching Genetic Algorithm using a niche size equalization mechanism

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  • Nagata Yuichi
    Graduate School of Information Science, Japan Advanced Institute of Science and Technology

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  • 均等に個体を分散化する適応的ニッチングＧＡの提案

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Niching GAs have been widely investigated to apply genetic algorithms (GAs) to multimodal function optimization problems. In this paper, we suggest a new niching GA that attempts to form niches, each consisting of an equal number of individuals. The proposed GA can be applied also to combinatorial optimization problems by defining a distance metric in the search space. We apply the proposed GA to the job-shop scheduling problem (JSP) and demonstrate that the proposed niching method enhances the ability to maintain niches and improve the performance of GAs.

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