Genetic Symbiosis Algorithm

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  • HIRASAWA Kotaro
    Graduate School of Information Science and Electrical Eng., Kyushu Univ.
  • ISHIKAWA Yasutaka
    Graduate School of Information Science and Electrical Eng., Kyushu Univ.
  • HU Jinglu
    Graduate School of Information Science and Electrical Eng., Kyushu Univ.
  • MURATA Junichi
    Graduate School of Information Science and Electrical Eng., Kyushu Univ.

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Other Title
  • 遺伝的共生アルゴリズム
  • システム/情報 遺伝的共生アルゴリズム
  • システム / ジョウホウ イデンテキ キョウセイ アルゴリズム

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Abstract

Genetic algorithm with sharing (D.E. Goldberg and J. Richardson, 1987) shows that it can restrain from individuals converging to the global minimum and maintain the diversity of the individuals. However, there is room for improvement in the sharing method. In this paper, a new genetic algorithm named Genetic Symbiosis Algorithm (GSA) is proposed to overcome the problems of the conventional method. GSA is based on the symbiosis concept found widely in ecosystems. Simulation studies show that GSA can produce a great variety number of individuals that have each special characteristics.

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