New Lower Bounds on the Number of Vehicles for the Vehicle Routing Problem with Time Windows

  • Sohaib Afifi
  • Rym Nesrine Guibadj
  • Aziz Moukrim
Conference paper

DOI: 10.1007/978-3-319-07046-9_30

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8451)
Cite this paper as:
Afifi S., Guibadj R.N., Moukrim A. (2014) New Lower Bounds on the Number of Vehicles for the Vehicle Routing Problem with Time Windows. In: Simonis H. (eds) Integration of AI and OR Techniques in Constraint Programming. CPAIOR 2014. Lecture Notes in Computer Science, vol 8451. Springer, Cham

Abstract

The Vehicle Routing Problem with Time Windows (VRPTW) consists in determining the routing plan of vehicles with identical capacity in order to supply the demands of a set of customers with predefined time windows. This complex multi-constrained problem has been widely studied due to its industrial, economic and environmental implications. In this work, we are interested in defining the number of vehicles needed to visit all the customers. This objective is very important to evaluate the fixed costs for operating the fleet. In this paper, we provide an analysis of several lower bounds based on incompatibility between customers and on vehicle capacity constraints. We also develop an adaptation of Energetic Reasoning algorithm for VRPTW with a limited fleet. The proposed approach focuses on some time-intervals and exploits time constraints, incompatibility graph and bin packing models in order to obtain new valid lower bounds for the fleet size. Experiments conducted on the standard benchmarks show that our algorithms outperform the classical lower bound techniques and give the minimum number of vehicles for 339 out of 468 instances.

Keywords

vehicle routing time windows lower bounds energetic reasoning 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Sohaib Afifi
    • 1
  • Rym Nesrine Guibadj
    • 1
  • Aziz Moukrim
    • 1
  1. 1.Laboratoire Heudiasyc, UMR 7253 CNRSUniversité de Technologie CompiègneCompiègneFrance

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