• DocumentCode
    1995445
  • Title

    The application of genetic algorithm based on matlab in function optimization

  • Author

    Liu, Guangya ; Chen, Jingli

  • Author_Institution
    Hubei Univ. of Technol., Wuhan, China
  • fYear
    2011
  • fDate
    16-18 Sept. 2011
  • Firstpage
    5034
  • Lastpage
    5037
  • Abstract
    This paper introduces the theory of genetic algorithm. The specific operation flow of genetic algorithm is described. The application of genetic algorithm in function optimization has been achieved by the using of matlab programming language. The process of programming shows that it is very easy, flexible and efficient to optimize and compute with matlab language, and the effectiveness of genetic algorithm in function optimization has been demonstrated by the matlab simulation results.
  • Keywords
    functions; genetic algorithms; mathematics computing; programming languages; Matlab programming language; Matlab simulation; function optimization; genetic algorithm; Biological cells; Educational institutions; Encoding; Genetic algorithms; Optimization methods; Simulation; function optimization; genetic algorithm; matlab;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2011 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8162-0
  • Type

    conf

  • DOI
    10.1109/ICECENG.2011.6058092
  • Filename
    6058092