Combination of Metaheuristic and Exact Algorithms for Solving Set Covering-Type Optimization Problems

Combination of Metaheuristic and Exact Algorithms for Solving Set Covering-Type Optimization Problems

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Article ID: iaor20108093
Volume: 22
Issue: 4
Start Page Number: 603
End Page Number: 619
Publication Date: Sep 2010
Journal: INFORMS Journal on Computing
Authors: , ,
Keywords: heuristics, sets
Abstract:

We propose a new generic framework for solving combinatorial optimization problems that can be modeled as a set covering problem. The proposed algorithmic framework combines metaheuristics with exact algorithms through a guiding mechanism based on diversification and intensification decisions. After presenting this generic framework, we extensively demonstrate its application to the vehicle routing problem with time windows. We then conduct a thorough computational study on a set of well-known test problems, where we show that the proposed approach not only finds solutions that are very close to the best-known solutions reported in the literature, but also improves them. We finally set up an experimental design to analyze the effects of different parameters used in the proposed algorithm.

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