• DocumentCode
    1336256
  • Title

    Genetic algorithm optimization applied to electromagnetics: a review

  • Author

    Weile, Daniel S. ; Michielssen, Eric

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    45
  • Issue
    3
  • fYear
    1997
  • fDate
    3/1/1997 12:00:00 AM
  • Firstpage
    343
  • Lastpage
    353
  • Abstract
    Genetic algorithms are on the rise in electromagnetics as design tools and problem solvers because of their versatility and ability to optimize in complex multimodal search spaces. This paper describes the basic genetic algorithm and recounts its history in the electromagnetics literature. Also, the application of advanced genetic operators to the field of electromagnetics is described, and design results are presented for a number of different applications
  • Keywords
    electromagnetism; genetic algorithms; reviews; complex multimodal search spaces; design results; design tools; electromagnetics; genetic algorithm optimization; genetic operators; problem solvers; Algorithm design and analysis; Design optimization; Electromagnetic devices; Electromagnetic fields; Genetic algorithms; History; Maxwell equations; Nonlinear equations; Optimization methods; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/8.558650
  • Filename
    558650