• DocumentCode
    1429367
  • Title

    Niching genetic algorithms for optimization in electromagnetics. I. Fundamentals

  • Author

    Sareni, B. ; Krahenbuhl, L. ; Nicolas, A.

  • Author_Institution
    CEGELY, Ecole Centrale de Lyon, Ecully, France
  • Volume
    34
  • Issue
    5
  • fYear
    1998
  • fDate
    9/1/1998 12:00:00 AM
  • Firstpage
    2984
  • Lastpage
    2987
  • Abstract
    Niching methods extend genetic algorithms and permit the investigation of multiple optimal solutions in the search space. In this paper, we review and discuss various strategies of niching for optimization in electromagnetics. Traditional mathematical problems and an electromagnetic benchmark are solved using niching genetic algorithms to show their interest in real world optimization
  • Keywords
    electromagnetism; genetic algorithms; electromagnetics; niching genetic algorithm; optimization; Benchmark testing; Context modeling; Electromagnetics; Genetic algorithms; Magnetic domains; Optimization methods; Organisms; Shape measurement; Simulated annealing; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.717697
  • Filename
    717697
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1429367