Abstract
In this paper, we consider the set partitioning problem with matroid constraint, which is a generation of the k-partitioning problem. The objective is to minimize the weight of the heaviest subset. We present an approximation algorithm, which consists of two sub-algorithms—the modified Edmonds’ matroid partitioning algorithm and the exchange algorithm, for the problem. An estimation of the worst ratio for the algorithm is given.
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Project (No. 10671177) supported by the National Natural Science Foundation of China
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Wu, B., Yao, Ey. Min-max partitioning problem with matroid constraint. J. Zhejiang Univ. Sci. A 9, 1446–1450 (2008). https://doi.org/10.1631/jzus.A071606
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DOI: https://doi.org/10.1631/jzus.A071606