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

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorFreitas, Alan Robert Resende de-
Autor(es): dc.creatorSilva, V. M. R.-
Autor(es): dc.creatorCampelo, F.-
Autor(es): dc.creatorGuimarães, Frederico Gadelha-
Data de aceite: dc.date.accessioned2025-08-21T15:44:11Z-
Data de disponibilização: dc.date.available2025-08-21T15:44:11Z-
Data de envio: dc.date.issued2017-02-21-
Data de envio: dc.date.issued2017-02-21-
Data de envio: dc.date.issued2013-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/7289-
Fonte completa do material: dc.identifierhttp://link.springer.com/article/10.1007/s11590-013-0615-8-
Fonte completa do material: dc.identifierhttps://doi.org/10.1007/s11590-013-0615-8-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1022860-
Descrição: dc.descriptionIn 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.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsrestrito-
Palavras-chave: dc.subjectEvolutionary computation-
Palavras-chave: dc.subjectMemetic algorithms-
Palavras-chave: dc.subjectReverse distribution networks-
Palavras-chave: dc.subjectLogistics-
Título: dc.titleOptimizing two-level reverse distribution networks with hybrid memetic algorithms.-
Aparece nas coleções:Repositório Institucional - UFOP

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