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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)


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.


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

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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).

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Correspondence to Laura Calvet .

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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.

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