• 제목/요약/키워드: Parallel Processing, GA, Genetic Algorithm, Function Optimization, migration

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A Parallel Genetic Algorithms with Diversity Controlled Migration and its Applicability to Multimodal Function Optimization

  • YAMAMOTO, Fujio;ARAKI, Tomoyuki
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.629-633
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    • 1998
  • Proposed here is a parallel genetic algorithm accompanied with intermittent migration among subpopulations. It is intended to maintain diversity in the population for a long period . This method was applied to finding out the global maximum of some multimodal functions for which no other methods seem to be useful . Preferable results and their detailed analysis are also presented.

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