A goal-driven approach to the 2D bin packing and variable-sized bin packing problems

Lijun Wei, Wee-Chong Oon, Wenbin Zhu and Andrew Lim

European Journal of Operational Research, 2013, vol. 224, issue 1, 110-121

Abstract: In this paper, we examine the two-dimensional variable-sized bin packing problem (2DVSBPP), where the task is to pack all given rectangles into bins of various sizes such that the total area of the used bins is minimized. We partition the search space of the 2DVSBPP into sets and impose an order on the sets, and then use a goal-driven approach to take advantage of the special structure of this partitioned solution space. Since the 2DVSBPP is a generalization of the two-dimensional bin packing problem (2DBPP), our approach can be adapted to the 2DBPP with minimal changes. Computational experiments on the standard benchmark data for both the 2DVSBPP and 2DBPP shows that our approach is more effective than existing approaches in literature.

Keywords: Packing; 2D bin packing; Goal-driven search; Best-fit heuristic (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:224:y:2013:i:1:p:110-121

DOI: 10.1016/j.ejor.2012.08.005

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