• DocumentCode
    2823684
  • Title

    CoBRA: A cooperative coevolutionary algorithm for bi-level optimization

  • Author

    Legillon, François ; Liefooghe, Arnaud ; Talbi, El-Ghazali

  • Author_Institution
    LIFL, Univ. Lille 1, Villeneuve d´´Ascq, France
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This article presents CoBRA, a new evolutionary algorithm, based on a coevolutionary scheme, to solve bi-level optimization problems. It handles population-based algorithms on each level, each one cooperating with the other to provide solutions for the overall problem. Moreover, in order to evaluate the relevance of CoBRA against more classical approaches, a new performance assessment methodology, based on rationality, is introduced. An experimental analysis is conducted on a bi-level distribution planning problem, where multiple manufacturing plants deliver items to depots, and where a distribution company controls several depots and distributes items from depots to retailers. The experimental results reveal significant enhancements, particularly over the lower level, with respect to a more classical approach based on a hierarchical scheme.
  • Keywords
    cooperative systems; evolutionary computation; goods distribution; manufacturing industries; optimisation; planning; CoBRA; bilevel distribution planning problem; bilevel optimization; cooperative coevolutionary algorithm; distribution company; experimental analysis; hierarchical scheme; item delivery; manufacturing plants; performance assessment methodology; population-based algorithm; Algorithm design and analysis; Companies; Electronic mail; Europe; Optimization; Routing; Vehicles; Algorithm design and analysis; Evolutionary computation; bi-level optimization; vehicle routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2012 IEEE Congress on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4673-1510-4
  • Electronic_ISBN
    978-1-4673-1508-1
  • Type

    conf

  • DOI
    10.1109/CEC.2012.6256620
  • Filename
    6256620