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

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.

• Autores: Villegas Ramírez, Juan Guillermo; Rodríguez Coca, Diana Mercedes
• Tipo de recurso: Article of investigation
• Fecha de publicación: 2009
• Institución: Universidad de Antioquia
• Repositorio: Repositorio UdeA
• Idioma: eng
• OAI Identifier: oai:bibliotecadigital.udea.edu.co:10495/7979
• Acceso en línea: http://hdl.handle.net/10495/7979; https://doi.org/10.1007/s10732-008-9070-6
• Palabra clave: Instalaciones; Algoritmos genéticos; Algoritmos evolutivos; NSGA II; Optimización multiobjetivo
• Rights: openAccess
• License: https://creativecommons.org/licenses/by/4.0/