A 2-level approach for the set covering problem: Parameter tuning of artificial bee colony algorithm by using genetic algorithm

Broderick Crawford, Ricardo Soto, Wenceslao Palma, Franklin Johnson, Fernando Paredes, Eduardo Olguín

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

5 Citas (Scopus)

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

Idioma originalInglés
Páginas (desde-hasta)189-196
Número de páginas8
PublicaciónLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen8794
DOI
EstadoPublicada - 2014

Huella

Profundice en los temas de investigación de 'A 2-level approach for the set covering problem: Parameter tuning of artificial bee colony algorithm by using genetic algorithm'. En conjunto forman una huella única.

Citar esto