• DocumentCode
    2043162
  • Title

    Research on FCGA Based on Orthonormal Multiwavelet Denoising Mutation

  • Author

    Cui, Mingyi

  • Author_Institution
    Sch. of Inf., Henan Univ. of Finance & Econ., Zhengzhou
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In research on genetic algorithm (GA), encoding is one of difficult problems. The past research indicated which float code (FC) could be super to other codes in function and restriction optimization. It was ignored by researchers how FC was denoised in running environment of GA for enhancing the performance of GA. In this paper, it was proved that odd-length and even-length of chromosome could all mutate with wavelet denoising. Based on the theoretic result, it was presented float code GA (FCGA) with orthonormal multi wavelet denoising mutation (FGAWDM). Many experiments were done. The result of the research and the experiment indicates that the method is credible in theory, is feasible in technique.
  • Keywords
    codes; genetic algorithms; signal denoising; wavelet transforms; FCGA; encoding; float code; function optimization; genetic algorithm; orthonormal multiwavelet denoising mutation; restriction optimization; Biological cells; Environmental economics; Equations; Finance; Genetic algorithms; Genetic mutations; Image coding; Image converters; Noise reduction; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5073069
  • Filename
    5073069