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A hybrid metaheuristic for the two-dimensional strip packing problem

Author

Listed:
  • Stéphane Grandcolas

    (Aix Marseille University, Université de Toulon, CNRS, LIS)

  • Cyril Pain-Barre

    (Aix Marseille University, Université de Toulon, CNRS, LIS)

Abstract

In this paper we present a hybrid metaheuristic approach called PVS (Progress and Verify Strategy) for the two-dimensional strip packing problem (2SPP). PVS relies on two procedures: a local search algorithm that delivers satisfying placements of the items on the horizontal axis, and an exact procedure that searches for the positions of the items on the vertical axis. This last one explores all the possibilities, starting with the most promising ones, and can be stopped at any moment. PVS follows a specific anytime strategy which continuously improves the current solution until it is provably optimal or a given time limit is reached. Experimental results show that the method is competitive on moderate-sized instances compared to the best known approaches.

Suggested Citation

  • Stéphane Grandcolas & Cyril Pain-Barre, 2022. "A hybrid metaheuristic for the two-dimensional strip packing problem," Annals of Operations Research, Springer, vol. 309(1), pages 79-102, February.
    • Handle: RePEc:spr:annopr:v:309:y:2022:i:1:d:10.1007_s10479-021-04226-6
    DOI: 10.1007/s10479-021-04226-6
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    References listed on IDEAS

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