• DocumentCode
    2313321
  • Title

    Genetic algorithm optimization for small antenna design

  • Author

    Schamberger, Mark ; Navsariwala, Umesh

  • Author_Institution
    Motorola Inc., Schaumburg
  • fYear
    2007
  • fDate
    9-15 June 2007
  • Firstpage
    2217
  • Lastpage
    2220
  • Abstract
    Small antenna design is a complex balance of trade-offs imposed by geometry, volume, manufacturability, materials, and the operating environment. Experience and intuition are essential in the antenna design process, however, once design complexity reaches a certain level, the use of design optimization tools becomes extremely valuable if not a necessity. This paper demonstrates the use of genetic algorithm optimization applied to a proprietary field solver interfaced with a commercial CAD system.
  • Keywords
    antennas; genetic algorithms; antenna design process; commercial CAD system; design complexity; design optimization tools; genetic algorithm optimization; proprietary field solver; small antenna design; Algorithm design and analysis; Design automation; Design optimization; Genetic algorithms; Geometry; Mathematical model; Mesh generation; Robustness; Slot antennas; US Department of Energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2007 IEEE
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    978-1-4244-0877-1
  • Electronic_ISBN
    978-1-4244-0878-8
  • Type

    conf

  • DOI
    10.1109/APS.2007.4395970
  • Filename
    4395970