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A branch‐and‐cut algorithm for partition coloring

A branch-and-cut algorithm for partition coloring
Authors: Yuri Frota; Nelson Maculan; Thiago F. Noronha; Celso C. Ribeiro;

A branch‐and‐cut algorithm for partition coloring

Abstract

AbstractLet G = (V, E, Q) be a undirected graph, where V is the set of vertices, E is the set of edges, and Q = {Q1,…,Qq} is a partition of V into q subsets. We refer to Q1,…,Qq as the components of the partition. The partition coloring problem (PCP) consists of finding a subset V′ of V with exactly one vertex from each component Q1,…,Qq and such that the chromatic number of the graph induced in G by V′ is minimum. This problem is a generalization of the graph coloring problem. This work presents a branch‐and‐cut algorithm proposed for PCP. An integer programing formulation and valid inequalities are proposed. A tabu search heuristic is used for providing primal bounds. Computational experiments are reported for random graphs and for PCP instances originating from the problem of routing and wavelength assignment in all‐optical WDM networks. © 2009 Wiley Periodicals, Inc. NETWORKS, 2010

Keywords

Coloring of graphs and hypergraphs, partition coloring, Graph algorithms (graph-theoretic aspects), branch and cut, Polyhedral combinatorics, branch-and-bound, branch-and-cut, formulation by representatives

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Average
bronze