• DocumentCode
    3313488
  • Title

    A Study of Convergence of the Majority Genetic Algorithm with Infinite Size Population

  • Author

    Su, Jun ; Qin, Hang

  • Author_Institution
    Comput. Sch., Yangtze Univ., Jingzhou
  • Volume
    2
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    824
  • Lastpage
    825
  • Abstract
    Nowadays, the genetic algorithm (GA) has become widespread, the theoretical work from the genetic and evolutionary computation field has been largely ignored by practitioners in real world applications. This paper provides the estimation of convergence of majority GA, which depends on the size and character of optimized function.
  • Keywords
    convergence; genetic algorithms; evolutionary computation field; genetic algorithm convergence; infinite size population; Application software; Biological cells; Computer networks; Computer security; Convergence; Distributed computing; Evolutionary computation; Genetic algorithms; Genetic mutations; Wireless communication; Genetic algorithm; convergence; distributed computation; infinite size population;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-4223-2
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2009.376
  • Filename
    4908596