Hybridizing exact methods and metaheuristics: A taxonomy

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@Article{Jourdan2009620,
  author =       "L. Jourdan and M. Basseur and E.-G. Talbi",
  title =        "Hybridizing exact methods and metaheuristics: A
                 taxonomy",
  journal =      "European Journal of Operational Research",
  volume =       "199",
  number =       "3",
  pages =        "620--629",
  year =         "2009",
  ISSN =         "0377-2217",
  DOI =          "doi:10.1016/j.ejor.2007.07.035",
  URL =          "http://www.sciencedirect.com/science/article/B6VCT-4S8K9FW-5/2/da4a040e6d29d78527bb46fcab2eeacd",
  keywords =     "genetic algorithms, genetic programming, Taxonomy,
                 Combinatorial optimisation, Metaheuristics, Exact
                 methods",
  abstract =     "The interest about hybrid optimisation methods has
                 grown for the last few years. Indeed, more and more
                 papers about cooperation between heuristics and exact
                 techniques are published. In this paper, we propose to
                 extend an existing taxonomy for hybrid methods
                 involving heuristic approaches in order to consider
                 cooperative schemes between exact methods and
                 metaheuristics. First, we propose some natural
                 approaches for the different schemes of cooperation
                 encountered, and we analyse, for each model, some
                 examples taken from the literature. Then we recall and
                 complement the proposed grammar and provide an
                 annotated bibliography.",
}

Genetic Programming entries for L Jourdan M Basseur El-Ghazali Talbi

Citations