• DocumentCode
    763085
  • Title

    Comparison between genetic and gradient-based optimization algorithms for solving electromagnetics problems

  • Author

    Haupt, Randy

  • Author_Institution
    HQ USAFA/DFEE, USAF Acad., CO, USA
  • Volume
    31
  • Issue
    3
  • fYear
    1995
  • fDate
    5/1/1995 12:00:00 AM
  • Firstpage
    1932
  • Lastpage
    1935
  • Abstract
    This paper compares the application of genetic algorithms and traditional gradient-based algorithms to various optimization problems in electromagnetics. Gradient algorithms work well for a small number of continuous parameters. Genetic algorithms are best for a large number of quantized parameters. Both antenna array and scattering optimization examples are shown
  • Keywords
    electromagnetism; genetic algorithms; optimisation; electromagnetics problems; genetic optimization algorithms; gradient-based optimization algorithms; Antenna arrays; Binary sequences; Cost function; Electromagnetic scattering; Genetic algorithms; Genetic mutations; Optimization methods; Radar cross section; Radar scattering; Scattering parameters;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.376418
  • Filename
    376418
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=763085