• DocumentCode
    2491198
  • Title

    An overview of genetic algorithms applied to control engineering problems

  • Author

    Wang, Qing ; Spronck, Pieter ; Tracht, Rudolf

  • Author_Institution
    Control & Simulation Center, Harbin Inst. of Technol., China
  • Volume
    3
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    1651
  • Abstract
    Genetic algorithms (GAs) are the most widely known evolutionary search algorithms. While they are regularly applied to control engineering problems, currently they are not a standard tool in the control engineer´s toolbox. This may in part be the result of the fact that few general overview of the application of GAs to control engineering problems yet exists, and the fact that they are usually reported on at conferences of computer scientists, not of control engineers. This paper attempts to alleviate that omission by presenting an overview of recent applications of GAs in the field of control engineering.
  • Keywords
    control engineering computing; genetic algorithms; control engineering problems; evolutionary search algorithms; genetic algorithms; Biological cells; Control engineering; Control systems; Evolutionary computation; Genetic algorithms; Genetic programming; Optimal control; Robust control; Robust stability; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1259761
  • Filename
    1259761