Jesus Martinez-Navarro

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This paper introduces a multiagent optimization algorithm inspired by the collective behavior of social insects. In this method, each agent encodes a possible solution of the problem to solve, and evolves in a way similar to real life insects. We test the algorithm on a classical difficult problem, the k-coloring of a graph, and we compare its performance(More)
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