Abstract. The paper describes an application of Parallel Simulated Annealing (PSA) for solving one of the most studied NP-hard optimization problems: Graph Coloring Problem (GCP). Synchronous master-slave model with periodic solution update is being used. The paper contains description of the method, recommendations for optimal parameters settings and summary of results obtained during algorithm's evaluation. A comparison of our novel approach to a PGA metaheuristic proposed in the literature is given. Finally, directions for further work in the subject are suggested.
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