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• W1572130003 abstract "In this survey we discuss different state-of-the-art approaches of combining exact algorithms and metaheuristics to solve combinatorial optimization problems. Some of these hybrids mainly aim at providing optimal solutions in shorter time, while others primarily focus on getting better heuristic solutions. The two main categories in which we divide the approaches are collaborative versus integrative combinations. We further classify the different techniques in a hierarchical way. Altogether, the surveyed work on combinations of exact algorithms and metaheuristics documents the usefulness and strong potential of this research direction." @default.
• W1572130003 created "2016-06-24" @default.
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• W1572130003 date "2005-01-01" @default.
• W1572130003 modified "2023-10-02" @default.
• W1572130003 title "Combining Metaheuristics and Exact Algorithms in Combinatorial Optimization: A Survey and Classification" @default.
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• W1572130003 doi "https://doi.org/10.1007/11499305_5" @default.
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