Abstract
Graph Coloring Problem (GCP) is one of the most studied combinatorial optimization problems. Its simplest form is called vertex coloring. It is important in theory and practice. Cellular Ant Algorithm is attempted to graph coloring problem- vertex coloring. Cellular ant algorithm is a new optimization method for solving real problems by using both the evolutionary rule of cellular, graph theory and the characteristics of ant colony optimization. Empirical study of the proposed Cellular Ant Algorithm is also carried out based on the DIMACS challenge benchmarks. The computational results show that Cellular Ant Algorithm for graph coloring problem is feasible and robust.
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