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

BRODERICK CRAWFORD LABRIN, RICARDO JAVIER SOTO DE GIORGIS, WENCESLAO ENRIQUE PALMA MUÑOZ, Franklin Johnson, Fernando Paredes, Eduardo Olguín

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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

Original languageEnglish
Pages (from-to)189-196
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8794
StatePublished - 1 Jan 2014

Keywords

  • Artificial Bee Colony Algorithm
  • Genetic Algorithm
  • Parameter Setting
  • Set Covering Problem
  • Swarm Intelligence

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