• DocumentCode
    2476603
  • Title

    The analysis of particle swarm optimization algorithm’s convergence

  • Author

    Lian, Zhigang ; Zhu, Fan ; Guan, Zailin ; Shao, Xinyu

  • Author_Institution
    Dept. of Ind. & Manuf. Syst. Eng., KEDA Ind. CO., Ltd., Foshan
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    623
  • Lastpage
    626
  • Abstract
    Particle swarm optimization (PSO) algorithm has been developing rapidly and applied widely such as to combination optimization, network optimization and production scheduling etc since it was introduced, as it is easily understood and realized. However, on theory research of PSO algorithm is deficient, especially its convergence analysis is few. This paper studies particle swarm optimization algorithmpsilas convergence and obtain its convergence qualification.
  • Keywords
    convergence; particle swarm optimisation; PSO; combination optimization; convergence analysis; convergence qualification; network optimization; particle swarm optimization algorithm; production scheduling; Algorithm design and analysis; Birds; Convergence; Electrical equipment industry; Industrial control; Manufacturing industries; Manufacturing systems; Particle swarm optimization; Qualifications; Systems engineering and theory; Convergence; Optimization; Original particle swarm optimization;
  • 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.2008.4592994
  • Filename
    4592994