A 2-level approach for the set covering problem: Parameter tuning of artificial bee colony algorithm by using genetic algorithm
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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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Conference PaperCrawford B.; Soto R.; Cuesta R.; Olivares-Suárez M.; Johnson F.; Olguín E. (SciTePress, 2014)
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Conference PaperCuesta R.; Crawford B.; Soto R.; Paredes F. (Springer Verlag, 2014)