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Conference of the Spanish Association for Artificial Intelligence

CAEPIA 2016: Advances in Artificial Intelligence pp 408–417Cite as

A Simheuristic for the Heterogeneous Site-Dependent Asymmetric VRP with Stochastic Demands

Part of the Lecture Notes in Computer Science book series (LNAI,volume 9868)

Abstract

Rich Vehicle Routing Problems (RVRPs) refer to complex and realistic extensions of the classical Vehicle Routing Problem. They constitute a hot topic in logistics due to their high number of relevant applications. This work focuses on a RVRP with the following characteristics: (a) heterogeneous fleet of vehicles, (b) site-dependency, i.e., not all types of vehicle can reach all customers, (c) asymmetric costs, and (d) stochastic demands. We formally define the problem and describe real-life applications. Our main contribution is a simheuristic-based methodology including a Successive Approximations Method for solving it. A computational experiment is carried out to illustrate the proposed methodology. Moreover, the suitability of considering a simheuristic approach is analyzed.

Keywords

  • Simheuristics
  • Successive approximations method
  • Heterogeneous VRP
  • Site-dependent VRP
  • Metaheuristics
  • Stochastic optimization problems

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Acknowledgments

This work has been partially supported by the Spanish Ministry of Economy and Competitiveness (TRA2013-48180-C3-P and TRA2015-71883-REDT), FEDER, the Catalan Government (2014-CTP-00001) and the Government of Andorra (ACTP022-AND/2014).

Author information

Authors and Affiliations

  1. Computer Science Department, Open University of Catalonia - IN3, Castelldefels, Spain

    Laura Calvet, Adela Pagès-Bernaus & Angel A. Juan

  2. Observatori de la Sostenibilitat d’Andorra (OBSA), Sant Julià de Lòria, Andorra

    Oriol Travesset-Baro

Authors
  1. Laura Calvet
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  2. Adela Pagès-Bernaus
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  3. Oriol Travesset-Baro
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  4. Angel A. Juan
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Corresponding author

Correspondence to Laura Calvet .

Editor information

Editors and Affiliations

  1. Artificial Intelligence Center, University of Oviedo, Gijón, Spain

    Oscar Luaces

  2. University of Castilla-La Mancha , Albacete, Spain

    José A. Gámez

  3. Public University of Navarre , Pamplona, Spain

    Edurne Barrenechea

  4. Universidad Pablo de Olavide , Sevilla, Spain

    Alicia Troncoso

  5. Public University of Navarre , Pamplona, Navarra, Spain

    Mikel Galar

  6. University of Salamanca , Salamanca, Spain

    Héctor Quintián

  7. University of Salamanca , Salamanca, Spain

    Emilio Corchado

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© 2016 Springer International Publishing Switzerland

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Calvet, L., Pagès-Bernaus, A., Travesset-Baro, O., Juan, A.A. (2016). A Simheuristic for the Heterogeneous Site-Dependent Asymmetric VRP with Stochastic Demands. In: Luaces , O., et al. Advances in Artificial Intelligence. CAEPIA 2016. Lecture Notes in Computer Science(), vol 9868. Springer, Cham. https://doi.org/10.1007/978-3-319-44636-3_38

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  • DOI: https://doi.org/10.1007/978-3-319-44636-3_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44635-6

  • Online ISBN: 978-3-319-44636-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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