• DocumentCode
    2326166
  • Title

    Selective pressure in evolutionary algorithms: a characterization of selection mechanisms

  • Author

    Bäck, Thomas

  • Author_Institution
    Dept. of Comput. Sci., Dortmund Univ., Germany
  • fYear
    1994
  • fDate
    27-29 Jun 1994
  • Firstpage
    57
  • Abstract
    Due to its independence of the actual search space and its impact on the exploration-exploitation tradeoff, selection is an important operator in any kind of evolutionary algorithm. All important selection operators are discussed and quantitatively compared with respect to their selective pressure. The comparison clarifies that only a few really different and useful selection operators exist: proportional selection (in combination with a scaling method), linear ranking, tournament selection, and (μ,λ)-selection (respectively (μ+λ)-selection). Their selective pressure increases in the order as they are listed here. The theoretical results are confirmed by an experimental investigation using a genetic algorithm with different selection methods on a simple unimodal objective function
  • Keywords
    genetic algorithms; probability; search problems; evolutionary algorithms; experimental investigation; exploration-exploitation tradeoff; genetic algorithm; linear ranking; proportional selection; search space; selection mechanisms; selection operators; selective pressure; simple unimodal objective function; theoretical results; tournament selection; Computer science; Electronic switching systems; Evolutionary computation; Genetic algorithms; Genetic mutations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1899-4
  • Type

    conf

  • DOI
    10.1109/ICEC.1994.350042
  • Filename
    350042