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On a Genetic-Tabu Search Based Algorithm for Two-Dimensional Guillotine Cutting Problems

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  • Hamza Gharsellaoui

    (INSAT Institute, University of Carthago, Tunisia)

  • Hamadi Hasni

    (ENSI School, University of Manouba, Tunisia)

Abstract

The paper deals with the purpose of one hybrid approach for solving the constrained two-dimensional cutting (2DC) problem. The authors study this hybrid approach that combines the genetic algorithm and the Tabu search method. For this problem, they assume a packing of a whole number of rectangular pieces to cut, and that all cuts are of guillotine type in one sheet of a fixed width and an infinite height. Finally, they undertake an extensive experimental study with a large number of problem instances extracted from the literature by the Hopper’s benchmarks in order to support and to prove their approach and to evaluate the performance.

Suggested Citation

  • Hamza Gharsellaoui & Hamadi Hasni, 2012. "On a Genetic-Tabu Search Based Algorithm for Two-Dimensional Guillotine Cutting Problems," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 4(2), pages 26-40, April.
  • Handle: RePEc:igg:japuc0:v:4:y:2012:i:2:p:26-40
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