• DocumentCode
    2909623
  • Title

    SVPCGA: Selection on virtual population based compact genetic algorithm

  • Author

    Hong, Yi ; Kwong, Sam ; Wang, Hanli ; Xie, Zhihui ; Ren, Qingsheng

  • Author_Institution
    Dept. of Comput. Sci., City Univ. of Hong Kong, Hong Kong
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    265
  • Lastpage
    272
  • Abstract
    This paper describes a novel virtual population based truncation selection operator that extends our previously proposed virtual population based tournament selection operator. Moreover, two extensions of compact genetic algorithm (CGA) that make use of virtual population based selection operators are presented in this paper: one is the tournament selection on virtual population based compact genetic algorithm (SVPCGA-TO); the other is the truncation selection on virtual population based compact genetic algorithm (SVPCGA-TR). Both SVPCGA-TO and SVPCGA-TR are tested on several benchmark problems and their results are compared with those obtained by CGA and ne-CGA. Some superiorities of SVPCGA in search reliability can be achieved.
  • Keywords
    genetic algorithms; SVPCGA; compact genetic algorithm; tournament selection operator; truncation selection operator; virtual population; Benchmark testing; Costs; Electronic design automation and methodology; Evolutionary computation; Genetic algorithms; Genetic mutations; Maintenance; Random access memory; Sampling methods; Search methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-1822-0
  • Electronic_ISBN
    978-1-4244-1823-7
  • Type

    conf

  • DOI
    10.1109/CEC.2008.4630809
  • Filename
    4630809