• DocumentCode
    2027756
  • Title

    A natural and simple function which is hard for all evolutionary algorithms

  • Author

    Droste, Stefan ; Jansen, Thomas ; Wegener, Ingo

  • Author_Institution
    LS Informatik 2, Dortmund Univ., Germany
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2704
  • Abstract
    Evolutionary algorithms (EAs) are randomized search strategies that have turned out to be efficient for somewhat different optimization problems. In order to understand the behavior of EAs, one is also interested in examples where EAs need exponential time to find an optimal solution. Until now only artificial examples of this kind were known. An example with a clear and simple structure is presented. It can be described by a short formula, it is a polynomial of degree 3, and it is an instance of a well-known problem, the theoretically and practically important MAXSAT problem
  • Keywords
    evolutionary computation; optimisation; search problems; MAXSAT problem; evolutionary algorithms; exponential time; optimization problems; polynomial; search strategies; Collaborative work; Computational intelligence; Evolutionary computation; Genetic mutations; Hardware; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
  • Conference_Location
    Nagoya
  • Print_ISBN
    0-7803-6456-2
  • Type

    conf

  • DOI
    10.1109/IECON.2000.972425
  • Filename
    972425