• DocumentCode
    618054
  • Title

    Investigation on the performance of a new multiple choice strategy for PSO Algorithm in the task of large scale optimization problems

  • Author

    Pluhacek, Michal ; Senkerik, Roman ; Zelinka, Ivan

  • Author_Institution
    Fac. of Appl. Inf., Tomas Bata Univ. in Zlin, Zlin, Czech Republic
  • fYear
    2013
  • fDate
    20-23 June 2013
  • Firstpage
    2007
  • Lastpage
    2011
  • Abstract
    In this paper, a novel strategy for particle swarm optimization is presented and investigated over its ability to improve the performance of PSO algorithm in the task of large scale optimization problems. This proposed strategy alters the way the velocity of each particle is determined. Promising results of this innovative strategy are presented in the results section and briefly analyzed.
  • Keywords
    particle swarm optimisation; PSO algorithm; large scale optimization problems; multiple choice strategy; particle swarm optimization; particle velocity; Algorithm design and analysis; History; Optimization; Particle swarm optimization; Sociology; Statistics; Evolutionary algorithm; PSO; Particle swarm optimization; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2013 IEEE Congress on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4799-0453-2
  • Electronic_ISBN
    978-1-4799-0452-5
  • Type

    conf

  • DOI
    10.1109/CEC.2013.6557805
  • Filename
    6557805
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=618054