• DocumentCode
    2461573
  • Title

    Enhancing the robustness of a speciation-based PSO

  • Author

    Bird, Stefan ; Li, Xiaodong

  • Author_Institution
    RMIT Univ., Melbourne
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    843
  • Lastpage
    850
  • Abstract
    Speciation encourages an evolutionary algorithm to locate multiple solutions in multimodal environments. Speciation algorithms often require a user to specify a parameter to define the species radius, which can be a major drawback since this knowledge may not be available a priori. This paper proposes a technique using a time-based convergence measure to overcome this problem. The proposed method is used to enhance the performance of a speciation-based PSO (SPSO) and has been shown to be robust over a wide range of values for this user-specified parameter.
  • Keywords
    evolutionary computation; particle swarm optimisation; evolutionary algorithm; speciation-based PSO; time-based convergence; user-specified parameter; Birds; Computer science; Convergence; Evolutionary computation; Information technology; Particle swarm optimization; Robustness; Space exploration; Stochastic processes; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9487-9
  • Type

    conf

  • DOI
    10.1109/CEC.2006.1688399
  • Filename
    1688399