• DocumentCode
    3400054
  • Title

    Labeled-GA with adaptive mutation rate

  • Author

    Hartono, Pitoyo ; Hashimoto, Shuji ; Wahde, Mattias

  • Author_Institution
    WABOT-HOUSE Lab., Waseda Univ., Tokyo, Japan
  • Volume
    2
  • fYear
    2004
  • fDate
    19-23 June 2004
  • Firstpage
    1851
  • Abstract
    In This work 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.
  • Keywords
    artificial life; genetic algorithms; problem solving; simulation; adaptive mutation rate; gene contribution; labeled-GA; Flowcharts; Genetic mutations; Labeling; Laboratories; Physics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2004. CEC2004. Congress on
  • Print_ISBN
    0-7803-8515-2
  • Type

    conf

  • DOI
    10.1109/CEC.2004.1331121
  • Filename
    1331121