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2015 | OriginalPaper | Chapter

An Ant Algorithm for the Partition Graph Coloring Problem

Authors : Stefka Fidanova, Petrică C. Pop

Published in: Numerical Methods and Applications

Publisher: Springer International Publishing

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Abstract

In this paper we propose an Ant Colony Optimization (ACO) algorithm for the partition graph coloring problem (PGCP). Given an undirected graph \(G =(V,E)\), whose nodes are partition into a given number of the node sets. The goal of the PGCP is to find a subset \(V^* \subset V\) that contains exactly one node for each cluster and a coloring for \(V^*\) so that in the graph induced by \(V^*\), two adjacent nodes have different colors and the total number of used colors is minimal. The performance of our algorithm is evaluated on a common benchmark instances set and the computational results show that compared to a state-of-the-art algorithms, our ACO algorithm achieves solid results in very short run-times.

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Literature
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Metadata
Title
An Ant Algorithm for the Partition Graph Coloring Problem
Authors
Stefka Fidanova
Petrică C. Pop
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-15585-2_9

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