• DocumentCode
    2320042
  • Title

    Hybrid algorithms on antenna design

  • Author

    Quevedo-Teruel, Óscar ; Rajo-Iglesias, Eva ; Oropesa-García, Alicia

  • Author_Institution
    Univ. Carlos III de Madrid, Madrid
  • fYear
    2007
  • fDate
    9-15 June 2007
  • Firstpage
    3944
  • Lastpage
    3947
  • Abstract
    The purpose of this paper is to present hybrid algorithms made by mixing gradient and evolutive algorithms, as a solution to solve electromagnetic problems. Specifically, array synthesis has been chosen to show the functionality of these methods. In this work the discussion was focused on the comparison of the traditional evolutionary algorithm (based on the Darwinian theories), with the most common hybrid algorithms (inspired on Baldwin effect and Lamarckian evolution by Michaelewicz and Fogel, 2004) in some examples of array synthesis.
  • Keywords
    antenna arrays; antenna theory; evolutionary computation; gradient methods; Baldwin effect; Darwinian theory; Lamarckian evolution; antenna design; array synthesis; evolutionary algorithm; evolutive algorithm; gradient algorithm; hybrid algorithms; Algorithm design and analysis; Design optimization; Electromagnetic analysis; Equations; Evolution (biology); Evolutionary computation; Genetic mutations; MATLAB;
  • 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.2007.4396403
  • Filename
    4396403