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An NSGA-II Algorithm for the Green Vehicle Routing Problem

  • Conference paper
Evolutionary Computation in Combinatorial Optimization (EvoCOP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,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.

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Author information

Authors and Affiliations

  1. IS Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud University, Riyadh, KSA

    Jaber Jemai, Manel Zekri & Khaled Mellouli

  2. Larodec Laboratory, Institut Supérieur de Gestion, University of Tunis, Tunis, Tunisia

    Jaber Jemai, Manel Zekri & Khaled Mellouli

Authors
  1. Jaber Jemai
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  2. Manel Zekri
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  3. Khaled Mellouli
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Editor information

Editors and Affiliations

  1. Faculty of Angers, University of Angers, 2, Boulevard Lavoisier, 49045, Angers Cedex 01, France

    Jin-Kao Hao

  2. Department of Computer Science, University of Leipzig, Johannisgasse 26, 04103, Leipzig, Germany

    Martin Middendorf

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© 2012 Springer-Verlag Berlin Heidelberg

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Jemai, J., Zekri, M., Mellouli, K. (2012). An NSGA-II Algorithm for the Green Vehicle Routing Problem. In: Hao, JK., Middendorf, M. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2012. Lecture Notes in Computer Science, vol 7245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29124-1_4

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  • DOI: https://doi.org/10.1007/978-3-642-29124-1_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29123-4

  • Online ISBN: 978-3-642-29124-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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