• DocumentCode
    954135
  • Title

    An emigration genetic algorithm and its application to multiobjective optimal designs of electromagnetic devices

  • Author

    Wang, Yuhuai ; Yang, Shiyou ; Ni, Guangzheng ; Ho, S.L. ; Liu, Z.J.

  • Author_Institution
    Electr. Eng. Coll., Zhejiang Univ., Hangzhou, China
  • Volume
    40
  • Issue
    2
  • fYear
    2004
  • fDate
    3/1/2004 12:00:00 AM
  • Firstpage
    1240
  • Lastpage
    1243
  • Abstract
    The emigration genetic algorithm, which is a genetic-based algorithm, is proposed to obtain the Pareto optimal solution of vector optimal designs of electromagnetic devices. The proposed algorithm differs from the traditional ones in its design of an emigration operator as well as the inclusion of some useful approaches such as the fitness sharing, clustering, and elitism strategy. Detailed numerical results on three different multiobjective design problems are reported to demonstrate the effectiveness and advantages of the proposed algorithm for solving practical engineering multiobjective optimal design problems.
  • Keywords
    design; electromagnetic devices; genetic algorithms; numerical analysis; optimisation; Pareto optimal solution; clustering strategy; electromagnetic devices; elitism strategy; emigration genetic algorithm; fitness sharing strategy; genetic-based algorithm; multiobjective optimal designs; numerical method; vector optimal designs; vector optimization; Algorithm design and analysis; Cities and towns; Clustering algorithms; Convergence; Design engineering; Electromagnetic devices; Evolutionary computation; Genetic algorithms; Maintenance engineering; Optimization methods;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2004.824780
  • Filename
    1284644