• DocumentCode
    505720
  • Title

    Cluster Based Multi-Populations Genetic Algorithm in Noisy Environment

  • Author

    Li, Junhua ; Li, Ming ; Yang, Xiaoqin

  • Author_Institution
    Key Lab. of Nondestructive Test, Nanchang Hangkong Univ., Nanchang, China
  • fYear
    2009
  • fDate
    4-6 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    To extend GA´s application, that is important to study on genetic algorithm under noise environment. This paper firstly described the noise environment of the GA, analyzed the effect on GA of noise; then two indexes were proposed to evaluate the performance of GA in the noisy environment, CBMPGA was proposed for the noisy optimization, the numerical experiment shows that the performance of CBMPGA is better than EGA and DCGA.
  • Keywords
    genetic algorithms; cluster based multipopulation; genetic algorithm; noise environment; Genetic algorithms; Nondestructive testing; Performance analysis; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4199-0
  • Type

    conf

  • DOI
    10.1109/CCPR.2009.5344110
  • Filename
    5344110
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=505720