A 2-level approach for the set covering problem: Parameter tuning of artificial bee colony algorithm by using genetic algorithm
Autor
Crawford B.
Soto R.
Palma W.
Johnson F.
Paredes F.
Olguín E.
Resumen
We present a novel application of the Artificial Bee Colony algorithm to solve the non-unicost Set Covering Problem. The Artificial Bee Colony algorithm is a recent Swarm Metaheuristic technique based on the intelligent foraging behavior of honey bees. We present a 2-level metaheuristic approach where an Artificial Bee Colony Algorithm acts as a low-level metaheuristic and its paremeters are set by a higher level Genetic Algorithm.3 © 2014 Springer International Publishing Switzerland.
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