• DocumentCode
    1636709
  • Title

    A novel particle swarm optimization algorithm

  • Author

    Dongyun, Wang ; Ping, Zeng ; Luowei, Li ; Kai, Wang

  • Author_Institution
    Dept. of Electron. & Inf., Zhongyuan Inst. of Technol., Zhengzhou, China
  • fYear
    2010
  • Firstpage
    408
  • Lastpage
    411
  • Abstract
    A novel particle swarm optimization (NPSO) algorithm with dynamically changing inertia weight based on fltness and iterations was presented for improving the performance of the Particle Swarm Optimization algorithm. The new algorithm was tested with three benchmark functions. The experimental results show that the swarm can escape from local optimum, and it also can speed up the convergence of particles to improve the performance.
  • Keywords
    convergence; particle swarm optimisation; inertia weight; particle convergence; particle swarm optimization algorithm; Conferences; Convergence; Equations; Heuristic algorithms; IEEE services; Optimization; Particle swarm optimization; Particle Swarm Optimization; convergence speed; extreme value; inertia weight; premature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Sciences (ICSESS), 2010 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6054-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2010.5552354
  • Filename
    5552354
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1636709