• DocumentCode
    3457837
  • Title

    The Effect of Genetic Operators on Evolution Ability of Population

  • Author

    Fan, Qingwu ; Liu, Xudong ; Wang, Pu ; Gao, Xuejin

  • Author_Institution
    Pilot Coll., Beijing Univ. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    21-23 Oct. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents the concept of evolution ability of population and discusses the ability of finding the optimal solution for the population after one-generation selection, crossover and mutation. Based on the analysis of effect of selection, crossover and mutation on evolution ability of population, this paper presents some important conclusions. These conclusions above do not only help improve the GA, but also provide the basis for later research work.
  • Keywords
    genetic algorithms; mathematical operators; set theory; crossover; genetic algorithm; genetic operator; mutation; population evolution ability; Convergence; Copper; Cybernetics; Electronic mail; Genetics; Markov processes; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (CCPR), 2010 Chinese Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-7209-3
  • Electronic_ISBN
    978-1-4244-7210-9
  • Type

    conf

  • DOI
    10.1109/CCPR.2010.5659237
  • Filename
    5659237