• DocumentCode
    445580
  • Title

    Symbiogenetic coevolution

  • Author

    Wallin, David ; Ryan, Conor ; Azad, R. Muhammad Atif

  • Author_Institution
    CSIS Dept., Limerick Univ., Ireland
  • Volume
    2
  • fYear
    2005
  • fDate
    2-5 Sept. 2005
  • Firstpage
    1613
  • Abstract
    In this paper we introduce a cooperative revolutionary algorithm based on the ideas of endosymbiosis. We compare it to a generational GA on two deceptive and decomposable problems and show that it has better scaling properties as the problem size increases. We then analyse what effect crossover and parasite mutation has on its performance and conclude that a high parasite mutation rate is preferred over a lower rate and that crossover has no, or a very small, effect on its performance.
  • Keywords
    evolutionary computation; cooperative revolutionary algorithm; crossover mutation; parasite mutation; symbiogenetic coevolution; Arm; Cells (biology); Genetic mutations; Organisms; Performance analysis; Sorting; Spirals; Symbiosis; Technological innovation; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2005. The 2005 IEEE Congress on
  • Print_ISBN
    0-7803-9363-5
  • Type

    conf

  • DOI
    10.1109/CEC.2005.1554882
  • Filename
    1554882