• DocumentCode
    2755020
  • Title

    Defining a Standard for Particle Swarm Optimization

  • Author

    Bratton, Daniel ; Kennedy, James

  • Author_Institution
    Dept. of Comput., London Univ.
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    120
  • Lastpage
    127
  • Abstract
    Particle swarm optimization has become a common heuristic technique in the optimization community, with many researchers exploring the concepts, issues, and applications of the algorithm. In spite of this attention, there has as yet been no standard definition representing exactly what is involved in modern implementations of the technique. A standard is defined here which is designed to be a straightforward extension of the original algorithm while taking into account more recent developments that can be expected to improve performance on standard measures. This standard algorithm is intended for use both as a baseline for performance testing of improvements to the technique, as well as to represent PSO to the wider optimization community
  • Keywords
    particle swarm optimisation; testing; heuristic technique; particle swarm optimization; performance testing; Algorithm design and analysis; Biological system modeling; Birds; Educational institutions; Mathematical model; Measurement standards; Particle swarm optimization; Standards development; Statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Swarm Intelligence Symposium, 2007. SIS 2007. IEEE
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0708-7
  • Type

    conf

  • DOI
    10.1109/SIS.2007.368035
  • Filename
    4223164