• DocumentCode
    381162
  • Title

    The evaluating scale of the best-seeking efficiency in an intricate and difficult combining and optimizing problem

  • Author

    Han, Shenglian ; Yang, Lin ; He, Hua

  • Author_Institution
    Inst. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1794
  • Abstract
    As a full domain searching algorithm in the area of intricate multi-apex functions solution, machine learning, production scheduling, large scale combination optimizing, adapting controlling and the best scheme seeking of the skill control, the GA has an increasingly remarkable application prospect. Accordingly, the evaluating scale of the best-seeking efficiency should become an important task of GA research. A reasonable and regular evaluating scale is the prerequisite for the construction of a highly efficient GA. This paper puts forward the evaluating scale of the best-seeking efficiency, taking an intricate and difficult combining and optimizing problem as an example.
  • Keywords
    genetic algorithms; search problems; best-seeking efficiency; evaluation scale; full domain searching algorithm; genetic algorithm; intricate multi-apex functions solution; large scale combination optimization; machine learning; production scheduling; Automation; Helium; Large-scale systems; Production; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
  • Print_ISBN
    0-7803-7268-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2002.1021391
  • Filename
    1021391