• DocumentCode
    3431890
  • Title

    Development of particle swarm optimization algorithm

  • Author

    Yu Chen ; Fan Yang ; Quan Zou ; Chen Lin

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China
  • fYear
    2011
  • fDate
    3-5 Aug. 2011
  • Firstpage
    199
  • Lastpage
    204
  • Abstract
    Particle swarm optimization (PSO) is a new stochastic optimization technique based on swarm intelligence. In this paper, we introduce the basic principles of PSO firstly. Then, the research progress on PSO algorithm is summarized in several fields, such as parameter selection and design, population topology, hybrid PSO algorithm etc. Finally, some vital applications and aspects that may be conducted in the future investigations are discussed.
  • Keywords
    particle swarm optimisation; PSO algorithm; particle swarm optimization algorithm; research progress; stochastic optimization technique; swarm intelligence; Algorithm design and analysis; Convergence; Heuristic algorithms; Mathematical model; Optimization; Particle swarm optimization; Topology; evolutionary computation; particle swarm optimization algorithm; swarm intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2011 6th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-9717-1
  • Type

    conf

  • DOI
    10.1109/ICCSE.2011.6028617
  • Filename
    6028617