An ejection chain approach for the quadratic multiple knapsack problem

Bo Peng, Mengqi Liu, Zhipeng Lü, Gary Kochengber and Haibo Wang

European Journal of Operational Research, 2016, vol. 253, issue 2, 328-336

Abstract: In an algorithm for a problem whose candidate solutions are selections of objects, an ejection chain is a sequence of moves from one solution to another that begins by removing an object from the current solution. The quadratic multiple knapsack problem extends the familiar 0–1 knapsack problem both with several knapsacks and with values associated with pairs of objects. A hybrid algorithm for this problem extends a local search algorithm through an ejection chain mechanism to create more powerful moves. In addition, adaptive perturbations enhance the diversity of the search process. The resulting algorithm produces results that are competitive with the best heuristics currently published for this problem. In particular, it improves the best known results on 34 out of 60 test problem instances and matches the best known results on all but 6 of the remaining instances.

Keywords: Ejection chain; Quadratic multiple knapsack problem; Adaptive perturbation; Metaheuristics (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:253:y:2016:i:2:p:328-336

DOI: 10.1016/j.ejor.2016.02.043

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