• DocumentCode
    3137138
  • Title

    Evolutionary computation techniques and their applications

  • Author

    Michalewicz, Zbigniew ; Michalewicz, Maciej

  • Author_Institution
    Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    28-31 Oct 1997
  • Firstpage
    14
  • Abstract
    Evolutionary computation techniques, which are based on a powerful principle of evolution: survival of the fittest, constitute an interesting category of heuristic search. Evolutionary computation techniques are stochastic algorithms whose search methods model some natural phenomena: genetic inheritance and Darwinian strive for survival. This paper discusses the main paradigms of evolutionary computation techniques (genetic algorithms, evolution strategies, evolutionary programming, genetic programming) as well as other methods, which are hard to classify. It addresses an important question “why evolutionary computation?” and discusses some applications of these techniques
  • Keywords
    genetic algorithms; heuristic programming; search problems; Darwinian strive for survival; evolution; evolutionary computation techniques; evolutionary programming; genetic algorithms; genetic inheritance; genetic programming; heuristic search; stochastic algorithms; survival of the fittest; Books; Data structures; Evolutionary computation; Genetic algorithms; Genetic mutations; Process control; Scattering; Simulated annealing; Tellurium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-4253-4
  • Type

    conf

  • DOI
    10.1109/ICIPS.1997.672732
  • Filename
    672732