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Título : | Optimizing two-level reverse distribution networks with hybrid memetic algorithms. |
Autor : | Freitas, Alan Robert Resende de Silva, V. M. R. Campelo, F. Guimarães, Frederico Gadelha |
Palabras clave : | Evolutionary computation Memetic algorithms Reverse distribution networks Logistics |
Fecha de publicación : | 2013 |
Citación : | 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. |
Resumen : | 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 |
metadata.dc.identifier.doi: | https://doi.org/10.1007/s11590-013-0615-8 |
ISSN : | 1862-4480 |
Aparece en las colecciones: | DECOM - Artigos publicados em periódicos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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ARTIGO_OptimizingTwoLevel.pdf Until 2063-02-15 | 306,32 kB | Adobe PDF | Visualizar/Abrir |
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