Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/7289
Title: Optimizing two-level reverse distribution networks with hybrid memetic algorithms.
Authors: Freitas, Alan Robert Resende de
Silva, V. M. R.
Campelo, F.
Guimarães, Frederico Gadelha
Keywords: Evolutionary computation
Memetic algorithms
Reverse distribution networks
Logistics
Issue Date: 2013
Citation: FREITAS, 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.
Abstract: In 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.
URI: http://www.repositorio.ufop.br/handle/123456789/7289
metadata.dc.identifier.uri2: http://link.springer.com/article/10.1007/s11590-013-0615-8
ISSN: 18624480
Appears in Collections:DECOM - Artigos publicados em periódicos

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