Optimizing two-level reverse distribution networks with hybrid memetic algorithms

A. R R Freitas, V. M R Silva, F. Campelo, F. G. Guimarães

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)753-762
Number of pages10
JournalOptimization Letters
Volume8
Issue number2
Early online date14 Feb 2013
DOIs
Publication statusPublished - 1 Feb 2014

Keywords

  • Evolutionary computation
  • Logistics
  • Memetic algorithms
  • Reverse distribution networks

Fingerprint Dive into the research topics of 'Optimizing two-level reverse distribution networks with hybrid memetic algorithms'. Together they form a unique fingerprint.

Cite this