• DocumentCode
    1636232
  • Title

    Adaptive particle swarm optimization: detection and response to dynamic systems

  • Author

    Hu, Xiaohui ; Eberhart, Russell C.

  • Author_Institution
    Dept. of Biomed. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1666
  • Lastpage
    1670
  • Abstract
    This paper introduces an adaptive PSO, which automatically tracks various changes in a dynamic system. Different environment detection and response techniques are tested on the parabolic and Rosenbrock benchmark functions, and re-randomization is introduced to respond to the dynamic changes. Performance on the benchmark functions with various severities is analyzed
  • Keywords
    evolutionary computation; optimisation; Rosenbrock benchmark functions; adaptive particle swarm optimization; dynamic system; environment detection; evolutionary computation; Benchmark testing; Biomedical engineering; Dynamic programming; Equations; Evolutionary computation; Heuristic algorithms; Multidimensional systems; Particle swarm optimization; Performance analysis; Random number generation;
  • 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.2002.1004492
  • Filename
    1004492
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1636232