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arXiv · 0906.2960

Empirical evaluation of construction heuristics for the multidimensional assignment problem

Daniel Karapetyan·Gregory Gutin·Boris Goldengorin
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Abstract

The multidimensional assignment problem (MAP) (abbreviated s-AP in the case of s dimensions) is an extension of the well-known assignment problem. The most studied case of MAP is 3-AP, though the problems with larger values of s have also a number of applications. In this paper we consider four fast construction heuristics for MAP. One of the heuristics is new. A modification of the heuristics is proposed to optimize the access to slow computer memory. The results of computational experiments for several instance families are provided and discussed.

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Daniel Karapetyan, Gregory Gutin, Boris Goldengorin. 2009-06-16. Empirical evaluation of construction heuristics for the multidimensional assignment problem. https://arxiv.org/abs/0906.2960

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