Title
A 2-level approach for the set covering problem: Parameter tuning of artificial bee colony algorithm by using genetic algorithm
Date Issued
01 January 2014
Access level
metadata only access
Resource Type
journal article
Author(s)
Crawford B.
SOTO DE GIORGIS, RICARDO
Palma W.
Johnson F.
Paredes F.
Olguín E.
Pontificia Universidad Católica de Valparaíso
Publisher(s)
Springer Verlag
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.3
Start page
189
End page
196
Volume
8794
Language
English
OCDE Knowledge area
Matemáticas Ciencias de la computación
Subjects
DOI
10.1007/978-3-319-11857-4_22
Scopus EID
2-s2.0-84921387599
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN of the container
03029743
Sources of information: Directorio de Producción Científica Scopus