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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Defu Zhang & Yuxin Che & Furong Ye & Yain-Whar Si & Stephen C. H. Leung, 2016. "A hybrid algorithm based on variable neighbourhood for the strip packing problem," Journal of Combinatorial Optimization, Springer, vol. 32(2), pages 513-530, August.
    • Handle: RePEc:spr:jcomop:v:32:y:2016:i:2:d:10.1007_s10878-016-0036-6
    DOI: 10.1007/s10878-016-0036-6
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    References listed on IDEAS

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