Optimizing two-level reverse distribution networks with hybrid memetic algorithms.

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dc.contributor.authorFreitas, Alan Robert Resende de
dc.contributor.authorSilva, V. M. R.
dc.contributor.authorCampelo, F.
dc.contributor.authorGuimarães, Frederico Gadelha
dc.date.accessioned2017-02-21T16:35:00Z
dc.date.available2017-02-21T16:35:00Z
dc.date.issued2013
dc.description.abstractIn a Two-Level Reverse Distribution Network, products are returned from customers to manufacturers through collection and refurbishing sites. The costs of the reverse chain often overtake the costs of the forward chain by many times. With some known algorithms for the problem as reference, we propose a hybrid memetic algorithm that uses linear programming and a heuristic for defining routes. Moreover, we describe heuristics for deciding locations, algorithms to define routes for the products, and problem-specific genetic operators. Memetic algorithms have returned the best results for all instances.pt_BR
dc.identifier.citationFREITAS, A. R. R. de et al. Optimizing two-level reverse distribution networks with hybrid memetic algorithms. Optimization Letters, v. 8, n. 2, p. 753-762, fev. 2013. Disponível em: <http://link.springer.com/article/10.1007/s11590-013-0615-8>. Acesso em: 15 fev. 2017.pt_BR
dc.identifier.doihttps://doi.org/10.1007/s11590-013-0615-8
dc.identifier.issn1862-4480
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/7289
dc.identifier.uri2http://link.springer.com/article/10.1007/s11590-013-0615-8pt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectEvolutionary computationpt_BR
dc.subjectMemetic algorithmspt_BR
dc.subjectReverse distribution networkspt_BR
dc.subjectLogisticspt_BR
dc.titleOptimizing two-level reverse distribution networks with hybrid memetic algorithms.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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