• DocumentCode
    2692801
  • Title

    Linear selection

  • Author

    Graff, Mario ; Poli, Riccardo ; Moraglio, Alberto

  • Author_Institution
    Univ. of Essex, Colchester
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    2598
  • Lastpage
    2605
  • Abstract
    In most forms of selection, when multiple individuals are needed for an operation, these are drawn independently from the population. So, for example, in the case of crossover, the probability of a particular pair of parents being selected is given by the product of the selection probabilities of each parent. In this paper we investigate a form of selection where pairs of parents are not selected independently. We show that a particular form of dependent selection, linear selection, leads a genetic algorithm with homologous crossover to become very similar to a genetic algorithm with standard (independent) selection and headless chicken crossover, i.e., it turns crossover into a type of mutation. In the paper we analyse this form of selection theoretically, and we compare it to ordinary selection with crossover and headless chicken crossover in real runs.
  • Keywords
    genetic algorithms; probability; genetic algorithm; homologous crossover; linear selection; multiple individuals; selection probabilities; Artificial intelligence; Computer science; Evolutionary computation; Filling; Frequency; Genetic algorithms; Genetic mutations; Sampling methods; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424798
  • Filename
    4424798