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A novel non-linear approach to minimal area rectangular packing

Volker Maag (), Martin Berger (), Anton Winterfeld () and Karl-Heinz Küfer ()

Annals of Operations Research, 2010, vol. 179, issue 1, 243-260

Abstract: This paper discusses the minimal area rectangular packing problem which is to pack a given set of rectangles into a rectangular container of minimal area such that no two rectangles overlap. Current approaches for this problem rely on metaheuristics like simulated annealing, on constraint programming or on non-linear models. Difficulties arise from the non-convexity and the combinatorial complexity. We investigate different mathematical programming approaches for this and introduce a novel approach based on non-linear optimization and the “tunneling effect” achieved by a relaxation of the non-overlapping constraints. We compare our optimization algorithm to a simulated annealing and a constraint programming approach and show that our approach is competitive. Additionally, since it is easy to extend, it is also applicable to a variety of related problems. Copyright Springer Science+Business Media, LLC 2010

Keywords: Rectangular packing; Non-overlapping constraints; Non-linear optimization; Regularization; Relaxation (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/s10479-008-0462-7

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