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An NSGA-II Algorithm for the Green Vehicle Routing Problem

  • Jaber Jemai
  • Manel Zekri
  • Khaled Mellouli
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7245)

Abstract

In this paper, we present and define the bi-objective Green Vehicle Routing Problem GVRP in the context of green logistics. The bi-objective GVRP states for the problem of finding routes for vehicles to serve a set of customers while minimizing the total traveled distance and the co 2 emissions. We review emission factors and techniques employed to estimate co 2 emissions and integrate them into the GVRP definition and model. We apply the NSGA-II evolutionary algorithm to solve GVRP benchmarks and perform statistical analysis to evaluate and validate the obtained results. The results show that the algorithm obtain good results and prove the explicit interest grant to emission minimization objective.

Keywords

Green vehicle routing Multi-objective optimization Evolutionary algorithms NSGA-II 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jaber Jemai
    • 1
    • 2
  • Manel Zekri
    • 1
    • 2
  • Khaled Mellouli
    • 1
    • 2
  1. 1.IS Department, College of Computer and Information SciencesImam Mohammad Ibn Saud UniversityRiyadhKSA
  2. 2.Larodec Laboratory, Institut Supérieur de GestionUniversity of TunisTunisTunisia

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