• DocumentCode
    2911707
  • Title

    Population diversity of particle swarms

  • Author

    Shi, Yuhui ; Eberhart, Russell C.

  • Author_Institution
    Xi´´an Jiaotong-Liverpool Univ., Suzhou
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    1063
  • Lastpage
    1067
  • Abstract
    In the field of evolutionary computation, an important attribute of a population is diversity. This paper proposes a method for measuring the diversity of a particle swarm optimization population. It involves the measurement of position and velocity attributes of the particles that comprise the population. The proposed method is computationally straightforward and is adaptable to other evolutionary algorithms.
  • Keywords
    evolutionary computation; particle swarm optimisation; evolutionary algorithms; evolutionary computation; particle swarm optimization population; population diversity; Evolutionary computation; Particle swarm optimization; Particle tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-1822-0
  • Electronic_ISBN
    978-1-4244-1823-7
  • Type

    conf

  • DOI
    10.1109/CEC.2008.4630928
  • Filename
    4630928
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2911707