• DocumentCode
    384640
  • Title

    Tracking changing extrema with adaptive particle swarm optimizer

  • Author

    Carlisle, Anthony ; Dozler, G.

  • Volume
    13
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    265
  • Lastpage
    270
  • Abstract
    A modification of the particle swarm optimizer (PSO) involving updating obsolete particle memories has been shown to be effective in locating a changing extrema. In this paper we investigate the effectiveness of the modified PSO in tracking changing extrema over time. We demonstrate that a modified PSO, called the adaptive PSO, reliably and accurately tracks a continuously changing solution.
  • Keywords
    iterative methods; optimisation; search problems; adaptive particle swarm optimizer; dynamic environments; iterative method; optimisation; search space; swarm intelligence; Casting; Computer science; Educational institutions; Explosives; Feedback; Genetic algorithms; Particle swarm optimization; Particle tracking; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2002 Proceedings of the 5th Biannual World
  • Print_ISBN
    1-889335-18-5
  • Type

    conf

  • DOI
    10.1109/WAC.2002.1049555
  • Filename
    1049555
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=384640