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Optimization Letters

, Volume 8, Issue 2, pp 753–762 | Cite as

Optimizing two-level reverse distribution networks with hybrid memetic algorithms

  • A. R. R. Freitas
  • V. M. R. Silva
  • F. Campelo
  • F. G. Guimarães
Original Paper

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.

Keywords

Evolutionary computation Memetic algorithms  Reverse distribution networks Logistics 

Notes

Acknowledgments

This work has been supported by the Brazilian agencies CAPES, CNPq (Grants 472446/2010-0 and 305506/2010-2), and FAPEMIG (Grant APQ-04611-10); and by the Marie Curie International Research Staff Exchange Scheme Fellowship within the 7th European Community Framework Programme.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • A. R. R. Freitas
    • 1
  • V. M. R. Silva
    • 2
  • F. Campelo
    • 3
  • F. G. Guimarães
    • 3
  1. 1.Graduate Program in Electrical EngineeringUniversidade Federal de Minas GeraisBelo HorizonteBrazil
  2. 2.Instituto de ComputaçãoUniversidade Federal Fluminense NiteróiBrazil
  3. 3.Departamento de Engenharia ElétricaUniversidade Federal de Minas Gerais Belo HorizonteBrazil

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