• DocumentCode
    595738
  • Title

    Application of real coded genetic algorithm for target sensing

  • Author

    Pappula, L. ; Ghosh, Debashis

  • fYear
    2012
  • fDate
    18-21 Dec. 2012
  • Firstpage
    69
  • Lastpage
    72
  • Abstract
    Complex matrix equations need to be solved for extracting the impulse response of the target. In this paper, an evolutionary soft-computing technique of real coded genetic algorithm is applied to solve the system of linear equations. The proposed method is compared with the existing conjugate gradient method for deconvolution. The proposed method demonstrates how to overcome the drawbacks of the traditional method.
  • Keywords
    deconvolution; evolutionary computation; genetic algorithms; matrix algebra; complex matrix equations; conjugate gradient method; deconvolution; evolutionary soft-computing technique; impulse response; linear equations; real coded genetic algorithm; target sensing; Deconvolution; Equations; Genetic algorithms; Gradient methods; Linear programming; Sociology; Statistics; Target sensing; complex matrix; conjugate gradient method; deconvolution; equations; genetic algorithm; impulse response; real coded;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensing Technology (ICST), 2012 Sixth International Conference on
  • Conference_Location
    Kolkata
  • ISSN
    2156-8065
  • Print_ISBN
    978-1-4673-2246-1
  • Type

    conf

  • DOI
    10.1109/ICSensT.2012.6461768
  • Filename
    6461768