An Empirical Comparison of Some Approximate Methods for Graph Coloring
نویسندگان
چکیده
The Graph Coloring Problem (GCP) is a classical NP-complete problem for which several approximate solution algorithms have been proposed: Brelaz algorithm, simulated annealing (SA), ant colony optimization (ACO). This paper reports empirical results on the GCP over a collection of graphs of some approximate solution algorithms. Among them, we test a recently proposed Gravitational Swarm Intelligence (GSI). Results in this benchmarking experiment show that GSI performance compares well to other methods.
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