• DocumentCode
    3044998
  • Title

    A hybrid algorithm based on genetic algorithm and plant growth simulation algorithm

  • Author

    Xu, Liang ; Tao, Mu ; Ming, Huang

  • Author_Institution
    Software Technol. Inst., Dalian Jiao Tong Univ., Dalian, China
  • Volume
    1
  • fYear
    2012
  • fDate
    18-20 May 2012
  • Firstpage
    445
  • Lastpage
    448
  • Abstract
    In order to solve the deceptive and pre-maturity problem of genetic algorithm, we combined plant growth simulation algorithm with genetic algorithm, so a new hybrid genetic algorithm occurred. Because of the searching way is better both in direction and randomness balance, which decided by plant hormone in plant growth simulation algorithm, so the deceptive problem of genetic algorithm is well settled and we got the globally optimal solution in a relatively efficient way. The simulation results show that very nice effects are obtained.
  • Keywords
    deceptive problem; genetic algorithm; plant growth simulation algorithm; pre-maturity problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (MIC), 2012 International Conference on
  • Conference_Location
    Harbin, China
  • Print_ISBN
    978-1-4577-1601-0
  • Type

    conf

  • DOI
    10.1109/MIC.2012.6273338
  • Filename
    6273338