A hybrid algorithm based on variable neighbourhood for the strip packing problem

Defu Zhang (), Yuxin Che, Furong Ye, Yain-Whar Si and Stephen C. H. Leung
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Defu Zhang: Xiamen University
Yuxin Che: Xiamen University
Furong Ye: Xiamen University
Yain-Whar Si: University of Macau
Stephen C. H. Leung: The University of Hong Kong

Journal of Combinatorial Optimization, 2016, vol. 32, issue 2, No 11, 513-530

Abstract: Abstract This paper addresses the strip packing problem, which has a wide range of real-world applications. Our proposed algorithm is a hybrid metaheuristic that combines an improved heuristic algorithm with a variable neighbourhood search. Different neighbourhoods are constructed based on the concept of block patterns. The proposed algorithm has three interesting features. First, a least-waste strategy is used to improve the constructive heuristics. Second, a better sorting sequence is selected to generate an initial solution. Finally, different neighbourhoods are constructed based on block patterns. The computational results from a diverse set of problem instances show that the proposed algorithm performs better than algorithms reported in the literature for most of the problem sets compared.

Keywords: Packing problem; Variable neighbourhood search; Heuristic algorithm; Combinatorial optimisation (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s10878-016-0036-6

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