Paper Info
Title
A 2-level Approach for the Set Covering Problem: Parameter Tuning of Artificial Bee Colony Algorithm by Using Genetic Algorithm.
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.
Year
DOI
Venue
2014
10.1007/978-3-319-11857-4_22
ADVANCES IN SWARM INTELLIGENCE, PT1
Keywords
DocType
Volume
Set Covering Problem,Artificial Bee Colony Algorithm,Swarm Intelligence,Parameter Setting,Genetic Algorithm
Conference
8794
ISSN
Citations 
PageRank 
0302-9743
1
0.39
References 
Authors
5
6
Name
Order
Citations
PageRank
Broderick Crawford144673.74
Ricardo Soto219447.59
Wenceslao Palma3685.92
Franklin Johnson461.17
Fernando Paredes523027.21
Eduardo Olguín6309.86