• DocumentCode
    2688652
  • Title

    A comprehensive comparison between real population based tournament selection and virtual population based tournament selection

  • Author

    Hong, Yi ; Kwong, Sam ; Ren, Qingsheng ; Wang, Xiong

  • Author_Institution
    City Univ. of Hong Kong, Hong Kong
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    445
  • Lastpage
    452
  • Abstract
    This paper gives a comprehensive comparison between real population based tournament selection and virtual population based tournament selection both in theory and in experiment. We claim that virtual population based EDA is able to obtain a comparative or even better solution when compared with the one captured by real population based EDA. EDA using virtual population based tournament selection does not store the whole population in the memory. Therefore, less memory is required when compared with the one using real population based tournament selection. Another advantage of EDA using virtual population based tournament selection is higher selection intensity can be achieved, therefore less fitness evaluations are needed to converge.
  • Keywords
    convergence; genetic algorithms; convergence; fitness evaluation; genetic algorithm; real population based tournament selection; virtual population based tournament selection; Algorithm design and analysis; Computer science; Costs; Electronic design automation and methodology; Genetic algorithms; Graphical models; Machine learning; Machine vision; Wireless networks;
  • 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.2007.4424505
  • Filename
    4424505