• DocumentCode
    1635873
  • Title

    Extending particle swarm optimisers with self-organized criticality

  • Author

    Løvbjerg, Morten ; Krink, Thiemo

  • Author_Institution
    Dept. of Comput. Sci., Aarhus Univ., Denmark
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1588
  • Lastpage
    1593
  • Abstract
    Particle swarm optimisers (PSOs) show potential in function optimisation, but still have room for improvement. Self-organized criticality (SOC) can help control the PSO and add diversity. Extending the PSO with SOC seems promising reaching faster convergence and better solutions
  • Keywords
    evolutionary computation; optimisation; convergence; function optimisation; particle swarm optimisers; self-organized criticality; Application software; Chaos; Computer science; Evolutionary computation; Genetic algorithms; Genetic mutations; Insects; Particle swarm optimization; Performance analysis; Weight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1004479
  • Filename
    1004479
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1635873