Introducing the Swingometer Crossover and Mutation Operators for FloatingPoint Encoded Genetic Algorithms

Shane Lee, Hefin Rowlands

    Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad i gynhadleddadolygiad gan gymheiriaid

    Crynodeb

    Genetic algorithms that utilise floating pointencoded chromosomes instead of the traditional binary or Gary code have become wide spread in recent years. This paper introduces new floatingpoint crossover and mutation operators for such genetic algorithms. The operators are derived from examining the implicit constraints that traditional binary crossover and mutation operators impose on the values of the parameters being affected. It is shown by an example that a genetic algorithm using these operators does converge and they should be considered for general use in floating-point genetic algorithms.
    Iaith wreiddiolSaesneg
    TeitlProceedings 19th European Conference on Modelling and Simulation
    GolygyddionYuri Merkuryev, Richard Zobel, Eugene Kerckhoffs
    CyhoeddwrECMS
    Nifer y tudalennau5
    ISBN (Argraffiad)1-84233-112-4
    StatwsCyhoeddwyd - 2005
    Digwyddiad19th European Conference on Modelling and Simulation - Riga, Latfia
    Hyd: 1 Jun 20054 Jun 2005

    Cynhadledd

    Cynhadledd19th European Conference on Modelling and Simulation
    Teitl crynoECMS 2005
    Gwlad/TiriogaethLatfia
    DinasRiga
    Cyfnod1/06/054/06/05

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