• DocumentCode
    1684783
  • Title

    GA optimization in electric machines

  • Author

    Mohammed, Osama A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
  • fYear
    1997
  • Abstract
    Genetic algorithms (GAs) have been successfully applied to the design optimization of electromagnetic devices. In this paper, practical issues relating to the implementation the technique are examined. The possibility of a premature convergence in some applications is studied. Recommendations and guidelines to take these practical implementation issues into consideration are explained through application examples
  • Keywords
    convergence of numerical methods; electric machines; genetic algorithms; machine theory; application examples; design optimization; electric machines; genetic algorithm; guidelines; implementation issues; premature convergence; recommendations; Application software; Biological cells; Convergence; Design optimization; Electric machines; Electromagnetic devices; Genetic algorithms; Guidelines; Reflective binary codes; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines and Drives Conference Record, 1997. IEEE International
  • Conference_Location
    Milwaukee, WI
  • Print_ISBN
    0-7803-3946-0
  • Type

    conf

  • DOI
    10.1109/IEMDC.1997.604194
  • Filename
    604194
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1684783