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A Binary Invasive Weed Optimization Algorithm for the Set Covering Problem

  • Broderick Crawford
  • Ricardo Soto
  • Ismael Fuenzalida LegüeEmail author
  • Eduardo Olguín
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 464)

Abstract

The Set Covering Problem (SCP) is a classic problem of combinatorial analytic. This problem consists in to find solutions what cover the needs to lower cost. Those can be services to cities, load balancing in production lines or databanks selections. In this paper, we study the resolution of SCP, through Invasive Weed Optimization (IWO), in its binary version; Binary Invasive Weed Optimization (BIWO). IWO, it is to imitate to Invasive Weed behavior (reproduction and selection natural), through mathematics formulations. Where the best weed has more chance of reproduction.

Keywords

Invasive weed optimization Set covering problem Metaheuristics Binary invasive weed 

Notes

Acknowledgments

The author Broderick Crawford is supported by grant CONICYT/FONDE-CYT/REGULAR/1140897 and Ricardo Soto is supported by grant CONICYT/ FONDECYT/INICIACION/11130459.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Broderick Crawford
    • 1
    • 2
    • 3
  • Ricardo Soto
    • 1
    • 4
    • 5
  • Ismael Fuenzalida Legüe
    • 1
    Email author
  • Eduardo Olguín
    • 2
  1. 1.Pontificia Universidad Católica de ValparaísoValparaísoChile
  2. 2.Universidad San SebastiánSantiagoChile
  3. 3.Universidad Central de ChileSantiagoChile
  4. 4.Universidad Autónoma de ChileSantiagoChile
  5. 5.Universidad Cientifica Del SurLimaPeru

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