• DocumentCode
    1396857
  • Title

    Some aspects of niching genetic algorithms applied to electromagnetic device optimization

  • Author

    Gallardo, Antonio ; Lowther, David A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
  • Volume
    36
  • Issue
    4
  • fYear
    2000
  • fDate
    7/1/2000 12:00:00 AM
  • Firstpage
    1076
  • Lastpage
    1079
  • Abstract
    Niching genetic algorithms can allow a breadth first search of the design space. Ideally, they can present the designer with several alternate designs allowing a much better appreciation of the optima found. The algorithm is also naturally parallel. The paper discusses the basic concepts and the effects of the various parameters in the algorithm
  • Keywords
    electromagnetic devices; genetic algorithms; tree searching; breadth first search; design space; device optimization; electromagnetic devices; naturally parallel algorithm; niching genetic algorithms; optima; Algorithm design and analysis; Cost function; Design engineering; Design optimization; Electromagnetic devices; Encoding; Genetic algorithms; Optimization methods; Space exploration; Stochastic systems;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.877627
  • Filename
    877627
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1396857