Sequence based heuristics for two-dimensional bin packing problems

Filipe Pereira Alvelos (1, 2) , T. M. Chan (2) , Paulo Vilaça (2) , Tiago Gomes (2) , Elsa Silva (2) , José Manuel Valério de Carvalho (1, 2)

1 Production and Systems
2 Centro Algoritmi [Guimarães]

This paper addresses several variants of the two-dimensional bin packing problem. In the most basic version of the problem it is intended to pack a given number of rectangular items with given sizes in rectangular bins in such a way that the number of bins used is minimized. Different heuristic approaches (greedy, local search, and variable neighborhood descent) are proposed for solving four guillotine two-dimensional bin packing problems. The heuristics are based on the definition of a packing sequence for items and in a set of criteria for packing one item in a current partial solution. Several extensions are introduced to deal with issues pointed out by two furniture companies. Extensive computational results on instances from the literature and from the two furniture companies are reported and compared with optimal solutions, solutions from other five (meta)heuristics and, for a small set of instances, with the ones used in the companies.

Mots clés: Physical Sciences

Filipe Pereira Alvelos, T. M. Chan, Paulo Vilaça, Tiago Gomes, Elsa Silva, et al.. Sequence based heuristics for two-dimensional bin packing problems. Engineering Optimization, 2009, 41 (08), pp.773-791. ⟨10.1080/03052150902835960⟩. ⟨hal-00545363⟩