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Journal of Heuristics

, 15:153 | Cite as

Hybrid biobjective evolutionary algorithms for the design of a hospital waste management network

  • Andrés L. MedagliaEmail author
  • Juan G. Villegas
  • Diana M. Rodríguez-Coca
Article

Abstract

Colombian environmental authorities are exploring new alternatives for improving the disposal of hospital waste generated in the Department of Boyacá (Colombia). To design this hospital waste management network we propose a biobjective obnoxious facility location problem (BOOFLP) that deals with the existing tradeoff between a low-cost operating network and the negative effect on the population living near the waste management facilities. To solve the BOOFLP we propose a hybrid approach that combines a multiobjective evolutionary algorithm (NSGA II) with a mixed-integer program. The algorithms are compared against the Noninferior Set Estimation (NISE) method and tested on data from Boyacá’s hospital waste management network and publicly available instances.

Keywords

Facility location Hybrid genetic algorithms Multiobjective evolutionary algorithms NSGA II Multiobjective optimization 

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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Andrés L. Medaglia
    • 1
    Email author
  • Juan G. Villegas
    • 2
    • 4
    • 5
  • Diana M. Rodríguez-Coca
    • 3
  1. 1.Departamento de Ingeniería Industrial, Centro de Optimización y Probabilidad AplicadaUniversidad de los AndesBogotáColombia
  2. 2.Departamento de Ingeniería IndustrialUniversidad de AntioquiaMedellínColombia
  3. 3.Facultad de Ingeniería IndustrialEscuela Colombiana de IngenieríaBogotáColombia
  4. 4.Departamento de Ingeniería IndustrialUniversidad de los Andeslos AndesColombia
  5. 5.LOSIUniversité de Technologie de TroyesTroyesFrance

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