Computer Science – Data Structures and Algorithms
Scientific paper
2004-02-18
Computer Science
Data Structures and Algorithms
16 pages, 4 figures, Latex, to appear in Mathematical Methods of Operations Research
Scientific paper
Higher-dimensional orthogonal packing problems have a wide range of practical applications, including packing, cutting, and scheduling. In the context of a branch-and-bound framework for solving these packing problems to optimality, it is of crucial importance to have good and easy bounds for an optimal solution. Previous efforts have produced a number of special classes of such bounds. Unfortunately, some of these bounds are somewhat complicated and hard to generalize. We present a new approach for obtaining classes of lower bounds for higher-dimensional packing problems; our bounds improve and simplify several well-known bounds from previous literature. In addition, our approach provides an easy framework for proving correctness of new bounds.
Fekete Sandor P.
Schepers Joerg
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