A new Simulated Annealing algorithm for the robust coloring problem

The Robust Coloring Problem (RCP) is a generalization of the well-known Graph Coloring Problem where we seek for a solution that remains valid when extra edges are added. The RCP is used in scheduling of events with possible last-minute changes and study frequency assignments of the electromagnetic spectrum. This problem has been proved as NP-hard and in instances larger than 30 vertices, meta-heuristics are required. In this paper a Simulated Annealing Algorithm is proposed, and his performance is compared against other tech-niques such as GRASP, Tabu Search and Scatter Search. In the classic instances of the problem our proposal method which gives the best solutions at this moment.