Hybridizing exact methods and metaheuristics: A taxonomy
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- @Article{Jourdan2009620,
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author = "L. Jourdan and M. Basseur and E.-G. Talbi",
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title = "Hybridizing exact methods and metaheuristics: A
taxonomy",
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journal = "European Journal of Operational Research",
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volume = "199",
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number = "3",
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pages = "620--629",
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year = "2009",
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ISSN = "0377-2217",
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DOI = "doi:10.1016/j.ejor.2007.07.035",
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URL = "http://www.sciencedirect.com/science/article/B6VCT-4S8K9FW-5/2/da4a040e6d29d78527bb46fcab2eeacd",
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keywords = "genetic algorithms, genetic programming, Taxonomy,
Combinatorial optimisation, Metaheuristics, Exact
methods",
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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
Citations