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A New Heuristic Algorithm For Constrained Rectangle-Packing Problem

Author

Listed:
  • DUANBING CHEN

    (College of Computer Science, Huazhong University of Science and Technology, Wuhan 430074, China)

  • WENQI HUANG

    (College of Computer Science, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

The constrained rectangle-packing problem is the problem of packing a subset of rectangles into a larger rectangular container, with the objective of maximizing the layout value. It has many industrial applications such as shipping, wood and glass cutting, etc. Many algorithms have been proposed to solve it, for example, simulated annealing, genetic algorithm and other heuristic algorithms. In this paper a new heuristic algorithm is proposed based on two strategies: the rectangle selecting strategy and the rectangle packing strategy. We have applied the algorithm to 21 smaller, 630 larger and other zero-waste instances. The computational results demonstrate that the integrated performance of the algorithm is rather satisfying and the algorithm developed is fairly efficient for solving the constrained rectangle-packing problem.

Suggested Citation

  • Duanbing Chen & Wenqi Huang, 2007. "A New Heuristic Algorithm For Constrained Rectangle-Packing Problem," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 24(04), pages 463-478.
    • Handle: RePEc:wsi:apjorx:v:24:y:2007:i:04:n:s0217595907001334
    DOI: 10.1142/S0217595907001334
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    Citations

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    Cited by:

    1. Lei Wang & Aihua Yin, 2016. "A quasi-human algorithm for the two dimensional rectangular strip packing problem: in memory of Prof. Wenqi Huang," Journal of Combinatorial Optimization, Springer, vol. 32(2), pages 416-444, August.
    2. Hakim Akeb & Mhand Hifi, 2010. "A hybrid beam search looking-ahead algorithm for the circular packing problem," Journal of Combinatorial Optimization, Springer, vol. 20(2), pages 101-130, August.
    3. Lorena Pradenas & Marco Fuentes & Víctor Parada, 2020. "Optimizing waste storage areas in health care centers," Annals of Operations Research, Springer, vol. 295(1), pages 503-516, December.
    4. 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.
    5. 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.
    6. Defu Zhang & Lijun Wei & Stephen C. H. Leung & Qingshan Chen, 2013. "A Binary Search Heuristic Algorithm Based on Randomized Local Search for the Rectangular Strip-Packing Problem," INFORMS Journal on Computing, INFORMS, vol. 25(2), pages 332-345, May.

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