Genetic Algorithm involving Coevolution Mechanism to Search for E ective Genetic Information

نویسندگان

  • Hisashi Handa
  • Norio Baba
  • Osamu Katai
  • Tetsuo Sawaragi
  • Tadashi Horiuchi
چکیده

|A new genetic algorithm which exploits an idea of \coevolution" is proposed. The proposed method consists of two GAs: Host GA and Parasite GA. The Host GA searches for the solutions, and these two GAs are closely related to each other. The Parasite GA plays an important role in searching for useful schemata in the Host GA. Furthermore, two methods of tness evaluation of Parasite GA are examined: di erentiating method and averaging method. The di erentiating method will yield the search for schemata that are not yet discovered by the Host GA. The averaging method will yield the search for schemata that have high average of tness. Various computer simulations con rm the e ectiveness of the proposed methods.

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تاریخ انتشار 1997