Two swarm intelligence algorithms for the Set Covering problem

Broderick Crawford, Ricardo Soto, Rodrigo Cuesta, Miguel Olivares-Suárez, Franklin Johnson, Eduardo Olguín

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

The Weighted Set Covering problem is a formal model for many industrial optimization problems. In the Weighted Set Covering Problem the goal is to choose a subset of columns of minimal cost in order to cover every row. Here, we present its resolution with two novel metaheuristics: Firefly Algorithm and Artificial Bee Colony Algorithm. The Firefly Algorithm is inspired by the flashing behaviour of fireflies. The main purpose of flashing is to act as a signal to attract other fireflies. The flashing light can be formulated in such a way that it is associated with the objective function to be optimized. The Artificial Bee Colony Algorithm mimics the food foraging behaviour of honey bee colonies. In its basic version the algorithm performs a kind of neighbourhood search combined with random search. Experimental results show that both are competitive in terms of solution quality with other recent metaheuristic approaches.

Original languageEnglish
Title of host publicationICSOFT-EA 2014 - Proceedings of the 9th International Conference on Software Engineering and Applications
EditorsAndreas Holzinger, Therese Libourel, Leszek Maciaszek, Leszek Maciaszek, Stephen Mellor
PublisherSciTePress
Pages60-69
Number of pages10
ISBN (Electronic)9789897580369
DOIs
StatePublished - 2014
Externally publishedYes
Event9th International Conference on Software Engineering and Applications, ICSOFT-EA 2014 - Vienna, Austria
Duration: 29 Aug 201431 Aug 2014

Publication series

NameICSOFT-EA 2014 - Proceedings of the 9th International Conference on Software Engineering and Applications

Conference

Conference9th International Conference on Software Engineering and Applications, ICSOFT-EA 2014
Country/TerritoryAustria
CityVienna
Period29/08/1431/08/14

Keywords

  • Artificial Bee Colony Algorithm
  • Firefly Algorithm
  • Metaheuristics
  • Swarm intelligence
  • Weighted Set Covering Problem

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