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Adaptive beam search solution procedures for constained circular cutting problems

Author

Listed:
  • Hakim Akeb

    (UPJV - Université de Picardie Jules Verne)

  • Mhand Hifi

    (UPJV - Université de Picardie Jules Verne, CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this paper, we study the constrained circular cutting problem whose objective is to cut a set of circular pieces into a rectangular plate R of dimensions L × W. Each piece's type i, i = 1, ..., m is caracterized by its radius r(i) and its demand b(i). This problem is solved using an adaptive algorithm that combines beam search and various Hill-Climbing strategies. Decisions at each node of the truncated tree are based on the so-called best local position. The computational results show, on a set of problem instances of the literature, the effectiveness of the proposed algorithm.

Suggested Citation

  • Hakim Akeb & Mhand Hifi, 2007. "Adaptive beam search solution procedures for constained circular cutting problems," Post-Print halshs-00187843, HAL.
    • Handle: RePEc:hal:journl:halshs-00187843
    as

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