D. Gómez-Cabrero

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Ant Colony System (ACS) is a distributed (agentbased) algorithm which has been widely studied on the Symmetric Travelling Salesman Problem (TSP). The optimum parameters for this algorithm have to be found by trial and error. We use a Particle Swarm Optimization algorithm (PSO) to optimize the ACS parameters working in a designed subset of TSP instances.(More)
This paper presents a combination of two well-known metaheuristic algorithms, particle swarm optimization (PSO) and ant colony system (ACS), based on a framework design named A-B-Domain. We take the travelling salesmanpsilas problem as the benckmark problem. <i>ACPS2</i>, as we name this combination, works as a metaheuristic for the <i>TSP</i>. When(More)
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