ConferencePaper ISI
BIO-INSPIRED SYSTEMS AND APPLICATIONS: FROM ROBOTICS TO AMBIENT INTELLIGENCE, PT II  (2014)

A 2-level Approach for the Set Covering Problem: Parameter Tuning of Artificial Bee Colony Algorithm by Using Genetic Algorithm

Crawford, B; Soto R.; Palma, W; Johnson, F; Paredes, F; Olguín E.

Keywords: genetic algorithm, set covering problem, swarm intelligence, Artificial Bee Colony Algorithm, Parameter Setting

Abstract

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.

Más información

Título según WOS: A 2-level Approach for the Set Covering Problem: Parameter Tuning of Artificial Bee Colony Algorithm by Using Genetic Algorithm
Título de la Revista: BIO-INSPIRED SYSTEMS AND APPLICATIONS: FROM ROBOTICS TO AMBIENT INTELLIGENCE, PT II
Volumen: 8794
Editorial: SPRINGER INTERNATIONAL PUBLISHING AG
Fecha de publicación: 2014
Página de inicio: 189
Página final: 196
Idioma: English
Notas: ISI