Tabu-enhanced iterated greedy algorithm: A case study in the quadratic multiple knapsack problem

C. García-Martínez, F.J. Rodriguez and M. Lozano

European Journal of Operational Research, 2014, vol. 232, issue 3, 454-463

Abstract: Iterated greedy search is a simple and effective metaheuristic for combinatorial problems. Its flexibility enables the incorporation of components from other metaheuristics with the aim of obtaining effective and powerful hybrid approaches. We propose a tabu-enhanced destruction mechanism for iterated greedy search that records the last removed objects and avoids removing them again in subsequent iterations. The aim is to provide a more diversified and successful search process with regards to the standard destruction mechanism, which selects the solution components for removal completely at random.

Keywords: Iterated greedy search; Tabu search; Quadratic multiple knapsack problem; Destruction mechanism (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:232:y:2014:i:3:p:454-463

DOI: 10.1016/j.ejor.2013.07.035

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