• DocumentCode
    2631891
  • Title

    A Particle Swarm Optimization Based on Improved Multi-Swarm and Analysis

  • Author

    Li, Minghua ; Liu, Quan ; Yao, Wangshu ; Chen, Ming

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Soochow Univ., Suzhou
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    30
  • Lastpage
    30
  • Abstract
    Based on the differentially perturbed velocity particle swarm optimization, an improved multi-swarm particle swarm optimization (MSPSO) is presented to improve the problem of the slow convergence and diversity loss. The algorithm makes the number of populations search at the same time in the same
  • Keywords
    particle swarm optimisation; diversity loss; improved multi-swarm particle swarm optimization; particle swarm optimization; slow convergence; Computer science; Convergence; Design optimization; Image processing; Iterative algorithms; Laboratories; Machine learning algorithms; Particle swarm optimization; Pattern recognition; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.73
  • Filename
    4603219
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2631891