Constructive Genetic Algorithm and Column Generation: an Application to Graph Coloring
نویسندگان
چکیده
We present a combined use of Genetic Algorithms (GAs) and column generation to approximately solve graph-coloring problems. The proposed method is divided in two phases. The constructive phase builds the initial pool of columns using a Constructive Genetic Algorithm (CGA). Each column forms an independent set. The second phase solves by column generation the set covering formulation. The columns are generated solving weighted independent set problems. Some computational experience is given.
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