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 Laetitia Jourdan M Basseur El-Ghazali Talbi

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