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Hybrid biobjective evolutionary algorithms for the design of a hospital waste management network |
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| Authors: | Andrés L Medaglia Juan G Villegas Diana M Rodríguez-Coca |
| Institution: | (1) Departamento de Ingeniería Industrial, Centro de Optimización y Probabilidad Aplicada, Universidad de los Andes, Bogotá, Colombia;(2) Departamento de Ingeniería Industrial, Universidad de Antioquia, Medellín, Colombia;(3) Facultad de Ingeniería Industrial, Escuela Colombiana de Ingeniería, Bogotá, Colombia;(4) Departamento de Ingeniería Industrial, Universidad de los Andes, los Andes, Colombia;(5) LOSI, Université de Technologie de Troyes, Troyes, France |
| 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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