The Complexity of the Partition Coloring Problem

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Abstract

Given a simple undirected graph and a partition of the vertex set V into p parts, the Partition Coloring Problem asks if we can select one vertex from each part of the partition such that the chromatic number of the subgraph induced on the p selected vertices is bounded by k. PCP is a generalized problem of the classical Vertex Coloring Problem and has applications in many areas, such as scheduling and encoding, etc. In this paper, we show the complexity status of the Partition Coloring Problem with three parameters: the number of colors, the number of parts of the partition, and the maximum size of each part of the partition. Furthermore, we give a new exact algorithm for this problem.

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Guo, Z., Xiao, M., & Zhou, Y. (2020). The Complexity of the Partition Coloring Problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12337 LNCS, pp. 390–401). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59267-7_33

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