• DocumentCode
    3780
  • Title

    Parameter Control in Evolutionary Algorithms: Trends and Challenges

  • Author

    Karafotias, Giorgos ; Hoogendoorn, Mark ; Eiben, A.E.

  • Author_Institution
    Comput. Intell. Group, VU Univ. Amsterdam, Amsterdam, Netherlands
  • Volume
    19
  • Issue
    2
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    167
  • Lastpage
    187
  • Abstract
    More than a decade after the first extensive overview on parameter control, we revisit the field and present a survey of the state-of-the-art. We briefly summarize the development of the field and discuss existing work related to each major parameter or component of an evolutionary algorithm. Based on this overview, we observe trends in the area, identify some (methodological) shortcomings, and give recommendations for future research.
  • Keywords
    evolutionary computation; search problems; evolutionary algorithms; heuristic search; parameter control; Algorithm design and analysis; Evolutionary computation; Genetic algorithms; Sociology; Statistics; Taxonomy; Tuning; Evolutionary algorithm; heuristic search; methodology; parameter control;
  • fLanguage
    English
  • Journal_Title
    Evolutionary Computation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-778X
  • Type

    jour

  • DOI
    10.1109/TEVC.2014.2308294
  • Filename
    6747993