A 2-level Approach for the Set Covering Problem: Parameter Tuning of Artificial Bee Colony Algorithm by Using Genetic Algorithm
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: | GAMES AND LEARNING ALLIANCE, GALA 2024 |
| Volumen: | 8794 |
| Editorial: | SPRINGER INTERNATIONAL PUBLISHING AG |
| Fecha de publicación: | 2014 |
| Página de inicio: | 189 |
| Página final: | 196 |
| Idioma: | English |
| Notas: | ISI |