• DocumentCode
    1747728
  • Title

    Complexity analysis of evaluating distances in the genetic algorithm using species conservation

  • Author

    Li, Jian-Ping ; Balázs, M.E. ; Parks, G.T. ; Clarkson, P.J.

  • Author_Institution
    Dept. of Manage. Eng., Mech. Inst. of Shijiazhuang, China
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    52
  • Abstract
    This paper examines the distributions of the species seeds in the species conservation genetic algorithm and analyzes the complexity of the overhead introduced by species conservation. The results show that the overhead required by the species conservation technique is no worse than that introduced by any other parallel subpopulation technique
  • Keywords
    genetic algorithms; parallel subpopulation technique; species conservation genetic algorithm; species seed distribution; Algorithm design and analysis; Design engineering; Engineering management; Genetic algorithms; Genetic engineering; Iterative methods; Mechanical engineering; Optimization methods; Performance evaluation; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
  • Conference_Location
    Seoul
  • Print_ISBN
    0-7803-6657-3
  • Type

    conf

  • DOI
    10.1109/CEC.2001.934370
  • Filename
    934370
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1747728