• DocumentCode
    2500987
  • Title

    Analysis the kinematics of particle swarm optimization algorithm

  • Author

    Li, Hongliang ; HOU, Chaozhen ; Zhou, Shaosheng ; Shao, Changbin

  • Author_Institution
    Dept. of Autom. Control, Beijing Inst. of Technol., Beijing
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    8722
  • Lastpage
    8726
  • Abstract
    This paper introduced a particle optimization kinematics equation based on the simplified model of particle swarm optimization algorithm (PSO), which is a vibration equation on the balance point; gave the particle optimization kinematics principle of basic PSO algorithm; analyzed the relationship between parameters chosen and vibration angular frequency and amplitude of particle movement. Initial condition and parameters chosen decide the particle movement optimization search scope and moving characters. As to kinematics, it is concluded that particle optimization point compressed on vibration peak while sparse near the balance point according to PSO. When initial parameters are not zero, particles movement will not stop at a local minimum point.
  • Keywords
    particle swarm optimisation; vibrations; particle movement amplitude; particle optimization kinematics equation; particle swarm optimization algorithm; vibration angular frequency; vibration equation; Algorithm design and analysis; Automation; Chaos; Equations; Frequency; Intelligent control; Kinematics; Particle swarm optimization; Vibration control; Kinematics; Particle swarm optimization (PSO); Random;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594303
  • Filename
    4594303