• DocumentCode
    1651318
  • Title

    Predictive-Velocity Modified Particle Swarm Optimization

  • Author

    Zhihua, Cui ; Xingjuan, Cai ; Jianchao, Zeng ; Guoji, Sun

  • Author_Institution
    Taiyuan Univ. of Sci. & Technol., Taiyuan
  • fYear
    2007
  • Firstpage
    780
  • Lastpage
    784
  • Abstract
    Velocity update equation of standard particle swarm optimization uses only the size information of previous velocity vector whereas ignoring the corresponding direction information. By adding predictive velocity, a new predictive-velocity modified particle swarm optimization (PVPSO) which using the size and direction information of velocity vectors to estimate and correct particle´s next generation positions is proposed. Theoretical analysis proofs the new algorithm owns an enhanced global search capability. The optimization computing of some examples is made to show that the PVPSO has better global search capacity and rapid convergence speed.
  • Keywords
    particle swarm optimisation; global search capability; particle swarm optimization; predictive-velocity; Computational modeling; Computer applications; Computer simulation; Equations; Kalman filters; Laboratories; Manufacturing systems; Particle swarm optimization; Sun; Systems engineering and theory; Computational Efficiency; Particle Swarm Optimization; Predictive-Velocity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2007. CCC 2007. Chinese
  • Conference_Location
    Hunan
  • Print_ISBN
    978-7-81124-055-9
  • Electronic_ISBN
    978-7-900719-22-5
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.4347338
  • Filename
    4347338