期刊
JOURNAL OF HEURISTICS
卷 15, 期 2, 页码 153-176出版社
SPRINGER
DOI: 10.1007/s10732-008-9070-6
关键词
Facility location; Hybrid genetic algorithms; Multiobjective evolutionary algorithms; NSGA II; Multiobjective optimization
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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