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arXiv · 1304.5876

Solving the minimum sum coloring problem via binary quadratic programming

Yang Wang·Jin-Kao Hao·Fred Glover·Zhipeng Lü
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Abstract

In recent years, binary quadratic programming (BQP) has been successively applied to solve several combinatorial optimization problems. We consider in this paper a study of using the BQP model to solve the minimum sum coloring problem (MSCP). For this purpose, we recast the MSCP with a quadratic model which is then solved via a recently proposed Path Relinking (PR) algorithm designed for the general BQP. Based on a set of MSCP benchmark instances, we investigate the performance of this solution approach compared with existing methods.

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Yang Wang, Jin-Kao Hao, Fred Glover, Zhipeng Lü. 2013-04-22. Solving the minimum sum coloring problem via binary quadratic programming. https://arxiv.org/abs/1304.5876

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