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Comparing Cuckoo Search, Bee Colony, Firefly Optimization, and Electromagnetism-Like Algorithms for Solving the Set Covering Problem

  • Ricardo Soto
  • Broderick Crawford
  • Cristian GalleguillosEmail author
  • Jorge Barraza
  • Sebastián Lizama
  • Alexis Muñoz
  • José Vilches
  • Sanjay Misra
  • Fernando Paredes
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9155)

Abstract

The set covering problem is a classical model in the subject of combinatorial optimization for service allocation, that consists in finding a set of solutions for covering a range of needs at the lowest possible cost. In this paper, we report various approximate methods to solve this problem, such as Cuckoo Search, Bee Colony, Firefly Optimization, and Electromagnetism-Like Algorithms. We illustrate experimental results of these metaheuristics for solving a set of 65 non-unicost set covering problems from the Beasley’s OR-Library.

Keywords

Combinatorial optimization Set covering problem Cuckoo search algorithm Bee colony algorithm Firefly optimization algorithm Electromagnetism-Like algorithm 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Ricardo Soto
    • 1
    • 2
    • 3
  • Broderick Crawford
    • 1
    • 4
    • 5
  • Cristian Galleguillos
    • 1
    Email author
  • Jorge Barraza
    • 1
  • Sebastián Lizama
    • 1
  • Alexis Muñoz
    • 1
  • José Vilches
    • 1
  • Sanjay Misra
    • 6
  • Fernando Paredes
    • 7
  1. 1.Pontificia Universidad Católica de ValparaísoValparaísoChile
  2. 2.Universidad Autónoma de ChileSantiagoChile
  3. 3.Universidad Cientifica del SurLimaPerú
  4. 4.Universidad Central de ChileSantiagoChile
  5. 5.Universidad San SebastiánSantiagoChile
  6. 6.Atilim UniversityAnkaraTurkey
  7. 7.Escuela de Ingeniería IndustrialUniversidad Diego PortalesSantiagoChile

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