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A GRASP Algorithm for Constrained Two-Dimensional Non-Guillotine Cutting Problems
R. Alvarez-Valdes, F. Parreño and J. M. Tamarit
The Journal of the Operational Research Society
Vol. 56, No. 4 (Apr., 2005), pp. 414-425
Stable URL: http://www.jstor.org/stable/4102213
Page Count: 12
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This paper presents a greedy randomized adaptive search procedure (GRASP) for the constrained two-dimensional non-guillotine cutting problem, the problem of cutting the rectangular pieces from a large rectangle so as to maximize the value of the pieces cut. We investigate several strategies for the constructive and improvement phases and several choices for critical search parameters. We perform extensive computational experiments with well-known instances previously reported, first to select the best alternatives and then to compare the efficiency of our algorithm with other procedures.
The Journal of the Operational Research Society © 2005 Operational Research Society