• DocumentCode
    2995918
  • Title

    Self-optimizing fuzzy controller based on extreme evolution algorithm

  • Author

    Jing-Song, Hu ; Lun, Zheng Qi

  • Author_Institution
    Comput. Sci. & Eng. Dept., South China Univ. of Technol., Guangzhou, China
  • Volume
    4
  • fYear
    2003
  • fDate
    8-12 Dec. 2003
  • Firstpage
    2673
  • Abstract
    Extreme evolution algorithm (EEA) is presented to solve fast global optimization problems. The algorithm selects parents according to extreme law but not to the fitness law. Recombining extreme elements obviously accelerates evolution procedure. Secondly, we construct a self-optimizing fuzzy controller based on the EEA. The controller shows a good performance on nonlinear optimization control.
  • Keywords
    evolutionary computation; fuzzy control; optimisation; extreme evolution algorithm; global optimization problems; nonlinear optimization control; self-optimizing fuzzy controller; Acceleration; Computer science; Fuzzy control; Genetic algorithms; Genetic programming; Optimization methods; Simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
  • Print_ISBN
    0-7803-7804-0
  • Type

    conf

  • DOI
    10.1109/CEC.2003.1299426
  • Filename
    1299426
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2995918