• DocumentCode
    3233633
  • Title

    Research of orthogonal genetic algorithms in probability simulation

  • Author

    Li, Shufang ; Zhang, Yi ; Gai, Nannan ; Yu, Jianqi

  • Author_Institution
    Dept. of Inf. Eng., Environ. Manage. Coll. of China, Qinhuangdao, China
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    707
  • Lastpage
    710
  • Abstract
    In order to solve the complex optimization problems of uncertain phenomena effectively, this paper gives probability simulation optimization method based on orthogonal genetic algorithm. This method integrates simulation technology, orthogonal genetic algorithm with statistical testing perfectly. So it can more effectively solve complex optimization problems. In theory, by adopting probability method the study in complex optimization problem with uncertain phenomenon has strong rationality and operability. This method has better optimal performance than the traditional methods.
  • Keywords
    genetic algorithms; probability; statistical testing; uncertain systems; complex optimization problems; orthogonal genetic algorithms; probability method; probability simulation optimization method; simulation technology; statistical testing; uncertain phenomena; uncertain phenomenon; Software; Software algorithms; computer simulation; orthogonal genetic algorithm; simulation optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6014366
  • Filename
    6014366