• DocumentCode
    3501934
  • Title

    Improvement of Particle Swarm Optimization Based on Neighborhood Cognizance and Swarm Decision

  • Author

    Zhu Meijie ; Liu Hanxing ; Sun WeiWe ; Zhu Tonglin

  • Author_Institution
    Sch. of Inf., South China Agric. Univ., Guangzhou
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    3669
  • Lastpage
    3672
  • Abstract
    The original PSO usually converges prematurely, and falls into the local optimal solution. Aimed at the shortcoming of PSO, this paper put forward Improved PSO based on neighborhood cognizance (NCPSO) and improved NCPSO based on Swarm Decision (SDNCPSO). These two improved PSO can reduce the possibility of converging prematurely. The results of experiment prove that these two improved PSO can improve the performance of global convergence in PSO and make PSO converge to global optimal solution faster.
  • Keywords
    data mining; particle swarm optimisation; PSO; data mining; neighborhood cognizance; particle swarm optimization; swarm decision; Biological system modeling; Convergence; Data mining; Distributed computing; Equations; Evolution (biology); Evolutionary computation; Informatics; Particle swarm optimization; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.907
  • Filename
    4340682