Skip to main content
Log in

Solving the capacitated location-routing problem

  • PhD Thesis
  • Published:
4OR Aims and scope Submit manuscript

Abstract

This is a summary of the main results presented in the author’s Ph.D thesis, available at http://prodhonc.free.fr/homepage. This thesis, written in French, was supervised by Christian Prins and Roberto Wolfler-Calvo, and defended on 16 October 2006 at the Université de Technologie de Troyes. Several new approaches are proposed to solve the capacitated location-routing problem (CLRP): heuristic, cooperative and exact methods. Their performances are tested on various kinds of instances with capacitated vehicles and capacitated or uncapacitated depots.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Barreto SS (2004) Análise e Modelização de Problemas de localização-distribuição (Analysis and modelling of location-routing problems). Ph.D thesis, University of Aveiro, campus universitário de Santiago. Aveiro, Portugal, pp 3810–3193 (in Portuguese)

  • Belenguer JM, Benavent E, Prins C, Prodhon C, Wolfler-Calvo R (2006) A branch and cut method for the capacitated location-routing problem. In: ICSSSM’06, Troyes, France, pp 1541–1546, ISBN 1-4244-0451-7

  • Clarke G, Wright JW (1964) Scheduling of vehicles from a central depot to a number of delivery points. Oper Res 12:568–581

    Article  Google Scholar 

  • Feo T, Resende MGC (1995) Greedy randomized adaptive search procedures. J Global Optim 2:1–27

    Google Scholar 

  • Lysgaard J, Letchford AN, Eglese RW (2004) A new branch-and-cut algorithm for the capacitated vehicle routing problem. Math Program 100:423–445

    Article  Google Scholar 

  • Min H, Jayaraman V, Srivastava R (1998) Combined location-routing problems: a synthesis and future research directions. Eur J Oper Res 108:1–15

    Article  Google Scholar 

  • Prins C, Prodhon C, Wolfler-Calvo R (2004) Nouveaux algorithmes pour le problème de localisation et routage sous contraintes de capacité. In: Dolgui A, Dauzère-Pérès S (eds). MOSIM’04, vol 2. Ecole des Mines de Nantes, Lavoisier, pp. 1115–1122

    Google Scholar 

  • Prins C, Prodhon C, Wolfler-Calvo R (2006a) A memetic algorithm with population management (MA | PM) for the capacitated location-routing problem. In: Gottlieb J, Raidl GR (eds) Lecture Notes in Computer Science, vol 3906. Proceedings of EvoCOP2006 (Evolutionary computation in combinatorial optimization: 6th European conference, Budapest, Hungary, April 10–12, 2006), Springer, Heidelberg, pp 183–194

  • Prins C, Prodhon C, Wolfler-Calvo R (2006b) Solving the capacitated location-routing problem by a GRASP complemented by a learning process and a path relinking. 4OR, 4:221–238

  • Prins C, Prodhon C, Wolfler-Calvo R (to appear) Solving the capacitated location-routing problem by a cooperative Lagrangean relaxation-granular tabu search heuristic. Transp Sci

  • Salhi S, Rand GK (1989) The effect of ignoring routes when locating depots. Eur J Oper Res 39:150–156

    Article  Google Scholar 

  • Sörensen K, Sevaux M (2003) GA | PM: genetic algorithms with population management for permutation problems. In: MIC2003

  • Toth P, Vigo D (2003) The granular tabu search (and its application to the vehicle routing problems). INFORMS J Comput 15(4):333–346

    Article  Google Scholar 

  • Tuzun D, Burke LI (1999) A two-phase tabu search approach to the location routing problem. Eur J Oper Res 116:87–99

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Caroline Prodhon.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Prodhon, C. Solving the capacitated location-routing problem. 4OR 5, 339–342 (2007). https://doi.org/10.1007/s10288-007-0039-3

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10288-007-0039-3

Keywords

MSC Classification

Navigation