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LP Bounds in an Interval-Graph Algorithm for Orthogonal-Packing Feasibility

Author

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  • Gleb Belov

    (Department of Mathematics, University of Duisburg-Essen, 47057 Duisburg, Germany)

  • Heide Rohling

    (OncoRay---National Center of Radiation Research in Oncology, Dresden University of Technology, 01307 Dresden, Germany)

Abstract

We consider the feasibility problem OPP (orthogonal packing problem) in higher-dimensional orthogonal packing: given a set of d -dimensional ( d (ge) 2) rectangular items, decide whether all of them can be orthogonally packed in the given rectangular container without rotation. The one-dimensional (1D) “bar” LP relaxation of OPP reduces the latter to a 1D cutting-stock problem where the packing of each stock bar represents a possible 1D stitch through an OPP layout. The dual multipliers of the LP provide us with another kind of powerful bounding information (conservative scales). We investigate how the set of possible 1D packings can be tightened using the overlapping information of item projections on the axes, with the goal to tighten the relaxation. We integrate the bar relaxation into an interval-graph algorithm for OPP, which operates on such overlapping relations. Numerical results on 2D and 3D instances demonstrate the efficiency of tightening leading to a speedup and stabilization of the algorithm.

Suggested Citation

  • Gleb Belov & Heide Rohling, 2013. "LP Bounds in an Interval-Graph Algorithm for Orthogonal-Packing Feasibility," Operations Research, INFORMS, vol. 61(2), pages 483-497, April.
    • Handle: RePEc:inm:oropre:v:61:y:2013:i:2:p:483-497
    DOI: 10.1287/opre.1120.1150
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    References listed on IDEAS

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    Cited by:

    1. Jean-François Côté & Manuel Iori, 2018. "The Meet-in-the-Middle Principle for Cutting and Packing Problems," INFORMS Journal on Computing, INFORMS, vol. 30(4), pages 646-661, November.
    2. Iori, Manuel & de Lima, Vinícius L. & Martello, Silvano & Miyazawa, Flávio K. & Monaci, Michele, 2021. "Exact solution techniques for two-dimensional cutting and packing," European Journal of Operational Research, Elsevier, vol. 289(2), pages 399-415.
    3. Côté, J.F. & Guastaroba, G. & Speranza, M.G., 2017. "The value of integrating loading and routing," European Journal of Operational Research, Elsevier, vol. 257(1), pages 89-105.
    4. Jean-François Côté & Mauro Dell'Amico & Manuel Iori, 2014. "Combinatorial Benders' Cuts for the Strip Packing Problem," Operations Research, INFORMS, vol. 62(3), pages 643-661, June.
    5. Jean-François Côté & Michel Gendreau & Jean-Yves Potvin, 2014. "An Exact Algorithm for the Two-Dimensional Orthogonal Packing Problem with Unloading Constraints," Operations Research, INFORMS, vol. 62(5), pages 1126-1141, October.
    6. Wei, Lijun & Hu, Qian & Lim, Andrew & Liu, Qiang, 2018. "A best-fit branch-and-bound heuristic for the unconstrained two-dimensional non-guillotine cutting problem," European Journal of Operational Research, Elsevier, vol. 270(2), pages 448-474.

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