• DocumentCode
    2995241
  • Title

    A new class of operators to accelerate particle swarm optimization

  • Author

    Ting, Tiew-On ; Rao, M.V.C. ; Loo, C.K. ; Ngu, Sze-San

  • Author_Institution
    Fac. of Eng. & Technol., Multimedia Univ., Melaka, Malaysia
  • Volume
    4
  • fYear
    2003
  • fDate
    8-12 Dec. 2003
  • Firstpage
    2406
  • Abstract
    We present some experiments with a new class of variations of mutation to accelerate the convergence of PSO. These robust mutation variations are tested on benchmark problems and the results show a significant improvement as compared to the original particle swarm optimization algorithm.
  • Keywords
    evolutionary computation; optimisation; search problems; genetic algorithm; genetic operators; mutation; particle swarm optimization; search problems; Acceleration; Birds; Electronic mail; Equations; Genetic algorithms; Genetic mutations; Heuristic algorithms; Particle swarm optimization; Robustness; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
  • Print_ISBN
    0-7803-7804-0
  • Type

    conf

  • DOI
    10.1109/CEC.2003.1299389
  • Filename
    1299389
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2995241