Ant colony optimization: models and applications [Guest editorial]
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Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the shortest path searching behavior of various ant species [1,2]. The initial work of Dorigo, Maniezzo and Colorni [3,4] who proposed the first ACO algorithm called Ant System, has stimulated a still strongly increasing number of researchers to develop more sophisticated and better performing ACO algorithms that are used to successfully solve a large number of hard combinatorial optimization problems such as the traveling salesman problem, the quadratic assignment problem, and routing in telecommunication networks.
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Cordón García, Oscar et al. «Ant colony optimization: models and applications [Guest editorial]». Mathware & soft computing, 2002, vol.VOL 9, núm. 2, http://raco.cat/index.php/Mathware/article/view/84862.
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