• DocumentCode
    352648
  • Title

    Enhanced genetic algorithm in electric network planning

  • Author

    Danhong, Zhong ; Jie, Wu ; Dejian, Kong

  • Author_Institution
    South China Univ. of Technol., Guangzhou, China
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    53
  • Abstract
    This paper studies effects of the new generation forming method in genetic algorithm. After discussing the characteristics of electric network planning, an enhanced genetic algorithm approach is described, which introduces an adaptive generation gap. Example is given to prove that it can improve the algorithm both in speed and accuracy
  • Keywords
    adaptive control; genetic algorithms; power transmission planning; adaptive control; electric network planning; generation gap; genetic algorithm; Character generation; Genetic algorithms; Intelligent networks; Power generation; Probes; Technology planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Conference_Location
    Hefei
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.859914
  • Filename
    859914
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=352648