Labeled-GA with adaptive mutation rate

Pitoyo Hartono, Shuji Hashimoto, Mattias Wahde

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    In this paper we propose a modified GA that assigns a unique mutation rate to each gene based on the contribution of the respective gene's contribution to the fitness of the individual. Although the proposed model is not "parameter free", through a number of experiments, we show that the parameters for this model are significantly insensitive to the landscape of the problems compared with the mutation rate in conventional GA, implying that this model could deal effectively with a wide range of problems the requirement to set the mutation rate empirically.

    本文言語English
    ホスト出版物のタイトルProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
    ページ1851-1858
    ページ数8
    2
    出版ステータスPublished - 2004
    イベントProceedings of the 2004 Congress on Evolutionary Computation, CEC2004 - Portland, OR
    継続期間: 2004 6 192004 6 23

    Other

    OtherProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
    CityPortland, OR
    Period04/6/1904/6/23

    ASJC Scopus subject areas

    • 工学(全般)

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