Journal
JOURNAL OF HEURISTICS
Volume 15, Issue 2, Pages 153-176Publisher
SPRINGER
DOI: 10.1007/s10732-008-9070-6
Keywords
Facility location; Hybrid genetic algorithms; Multiobjective evolutionary algorithms; NSGA II; Multiobjective optimization
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Colombian environmental authorities are exploring new alternatives for improving the disposal of hospital waste generated in the Department of Boyaca (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 Boyaca's hospital waste management network and publicly available instances.
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