• DocumentCode
    3227837
  • Title

    Nonlinear PSO—Convergence analysis and parameter adjustment schemes

  • Author

    Zhao, Xuexue ; Wang, Gang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    1111
  • Lastpage
    1115
  • Abstract
    Linear parameter adjustment (LPA) schemes had been widely used in particle swarm optimization (PSO). In this paper, we develop a novel PSO algorithm with nonlinear parameter adjustment (NLPA) called nonlinear PSO and present its convergence analysis. Simulations on five standard test functions confirm the validity of the nonlinear parameter adjustment methods.
  • Keywords
    convergence; linear programming; nonlinear programming; particle swarm optimisation; convergence analysis; linear parameter adjustment scheme; nonlinear parameter adjustment; nonlinear particle swarm optimization; Convergence; Erbium; TV; convergence analysis; nonlinear parameters; parameter adjustment; particle swarm optimization (PSO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645105
  • Filename
    5645105
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3227837