• DocumentCode
    3414919
  • Title

    Inertia Weight Selection Strategy Based on Lyapunov Stability Analysis

  • Author

    Fan, Weibing ; Cui, Zhihua ; Ceng, Jianchao

  • Author_Institution
    Complex Syst. & Comput. Intell. Lab., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
  • Volume
    3
  • fYear
    2009
  • fDate
    12-14 Aug. 2009
  • Firstpage
    504
  • Lastpage
    509
  • Abstract
    In this paper, the Lyapunov stability theory is employed to analyze the stability of standard version of particle swarm optimization, and a random inertia weight selection strategy is obtained from the analyzed results. Simulation results show this random strategy may provide an efficient performance.
  • Keywords
    Lyapunov methods; particle swarm optimisation; Lyapunov stability analysis; inertia weight selection strategy; particle swarm optimization; Computational intelligence; Computational modeling; Convergence; Evolutionary computation; Hybrid intelligent systems; Iterative algorithms; Laboratories; Lyapunov method; Particle swarm optimization; Stability analysis; Lyapunov function; particle swarm optimization; stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-0-7695-3745-0
  • Type

    conf

  • DOI
    10.1109/HIS.2009.316
  • Filename
    5254628