• DocumentCode
    501711
  • Title

    Probability Diffused Particle Swarm Optimization

  • Author

    Qin, Qiuyan ; Cui, Zhihua ; Zeng, Jianchao

  • Author_Institution
    Complex Syst. & Comput. Intell. Lab., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    12-14 Aug. 2009
  • Firstpage
    405
  • Lastpage
    410
  • Abstract
    Premature convergence is a major problem of Particle Swarm Optimization (PSO).Although many strategies have been proposed, there is still some work needed to do in high-dimensional cases. To overcome this shortcoming, a diffused velocity update equation is designed aiming to improve the population diversity with a c. Simulation results show the performance of this new variant is superior to other two previous modifications when dealing with multi-modal high-dimensional benchmark functions.
  • Keywords
    convergence; particle swarm optimisation; probability; diffused velocity update equation; particle swarm optimization; population diversity; premature convergence; probability; Birds; Computational intelligence; Convergence; Equations; Evolution (biology); Genetic mutations; Hybrid intelligent systems; Laboratories; Marine animals; Particle swarm optimization; Particle Swarm Optimization; diffuse coefficient; probability threshold;
  • 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.2009.85
  • Filename
    5254301