• DocumentCode
    2220472
  • Title

    Simple adaptive cognition for PSO

  • Author

    Monson, Christopher K.

  • Author_Institution
    Google, Inc., Pittsburgh, PA, USA
  • fYear
    2011
  • fDate
    5-8 June 2011
  • Firstpage
    1657
  • Lastpage
    1664
  • Abstract
    A simple, effective, computationally cheap, and easily tuned method is presented for improving PSO performance by automatically adapting acceleration coefficients. While this approach can be shown to be effective on its own as a source of swarm diversity on difficult functions, it is also capable of enhancing other adaptive strategies commonly employed with PSO. Significantly, and unlike many other PSO enhancements designed to improve swarm diversity, this approach does not typically harm the performance of the underlying method, allowing it to work well on easy and difficult functions alike.
  • Keywords
    cognition; particle swarm optimisation; PSO enhancement; PSO performance; adaptive strategy; automatically adapting acceleration coefficient; simple adaptive cognition; swarm diversity; tuned method; Acceleration; Cognition; Convergence; Equations; Schedules; Topology; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2011 IEEE Congress on
  • Conference_Location
    New Orleans, LA
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-7834-7
  • Type

    conf

  • DOI
    10.1109/CEC.2011.5949814
  • Filename
    5949814