• DocumentCode
    356941
  • Title

    Representation, mutation and crossover issues in evolutionary computation

  • Author

    Hinterding, Robert

  • Author_Institution
    Sch. of Commun. & Inf., Victoria Univ. of Technol., Melbourne, Vic., Australia
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    916
  • Abstract
    Representation, and the use of mutation and crossover or recombination are issues which some people from the different areas within evolutionary computation still disagree. The philosophical and representational differences we can attribute to the initial applications of each of the areas. We examine the role of mutation and crossover/recombination and when we mould expect them to work successfully and the effects of representation on them. We conclude that the areas have strengths, and should all be considered when designing an evolutionary algorithm
  • Keywords
    evolutionary computation; knowledge representation; crossover; evolutionary algorithm; evolutionary computation; mutation; recombination; representation; Algorithm design and analysis; Application software; Australia; Evolutionary computation; Genetic algorithms; Genetic mutations; Genetic programming; History; Informatics; Operations research;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
  • Conference_Location
    La Jolla, CA
  • Print_ISBN
    0-7803-6375-2
  • Type

    conf

  • DOI
    10.1109/CEC.2000.870740
  • Filename
    870740