Reactive GRASP for the strip-packing problem

  • Authors:
  • R. Alvarez-Valdes;F. Parreño;J. M. Tamarit

  • Affiliations:
  • Department of Statistics and Operations Research, University of Valencia, Burjassot, Valencia, Spain;Department of Computer Science, University of Castilla-La Mancha, Albacete, Spain;Department of Statistics and Operations Research, University of Valencia, Burjassot, Valencia, Spain

  • Venue:
  • Computers and Operations Research
  • Year:
  • 2008

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Abstract

This paper presents a greedy randomized adaptive search procedure (GRASP) for the strip packing problem, which is the problem of placing a set of rectangular pieces into a strip of a given width and infinite height so as to minimize the required height. 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 which have been previously reported, first to select the best alternatives and then to compare the efficiency of our algorithm with other procedures. The results show that the GRASP algorithm outperforms recently reported metaheuristics.