Skip to main content

Advertisement

Log in

Benders, metric and cutset inequalities for multicommodity capacitated network design

  • Published:
Computational Optimization and Applications Aims and scope Submit manuscript

Abstract

Solving multicommodity capacitated network design problems is a hard task that requires the use of several strategies like relaxing some constraints and strengthening the model with valid inequalities. In this paper, we compare three sets of inequalities that have been widely used in this context: Benders, metric and cutset inequalities. We show that Benders inequalities associated to extreme rays are metric inequalities. We also show how to strengthen Benders inequalities associated to non-extreme rays to obtain metric inequalities. We show that cutset inequalities are Benders inequalities, but not necessarily metric inequalities. We give a necessary and sufficient condition for a cutset inequality to be a metric inequality. Computational experiments show the effectiveness of strengthening Benders and cutset inequalities to obtain metric inequalities.

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.

Similar content being viewed by others

References

  1. Atamtürk, A.: On capacitated network design cut-set polyhedra. Math. Program. 92, 425–437 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  2. Atamtürk, A.: On splittable and unsplittable capacitated network design arc-set polyhedra. Math. Program. 92, 315–333 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  3. Balakrishnan, A., Magnanti, T.L., Mirchandani, P.: Network design. In: Dell’Amico, M., Maffioli, F., Martello, S. (eds.) Annotated Bibliographies in Combinatorial Optimization, pp. 311–334. Wiley, New York (1997)

    Google Scholar 

  4. Barahona, F.: Network design using cut inequalities. SIAM J. Optim. 6, 823–837 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  5. Benders, J.F.: Partitioning procedures for solving mixed variables programming problems. Numer. Math. 4, 238–252 (1962)

    Article  MATH  MathSciNet  Google Scholar 

  6. Chouman, M., Crainic, T.G., Gendron, B.: A cutting-plane algorithm based on cutset inequalities for multicommodity capacitated fixed charge network design. Publication CRT-316, Centre de recherche sur les transports, Université de Montréal (2003)

  7. Crainic, T.G., Gendreau, M., Farvolden, J.M.: A simplex-based tabu search method for capacitated network design. INFORMS J. Comput. 12, 223–236 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  8. Crainic, T.G., Gendron, B., Hernu, G.: A slope scaling/lagrangean perturbation heuristic with long-term memory for multicommodity fixed-charge network design. J. Heuristics 10, 525–545 (2004)

    Article  MATH  Google Scholar 

  9. Gabrel, V., Knippel, A., Minoux, M.: Exact solution of multicommodity network optimization problems with general step cost functions. Oper. Res. Lett. 25, 15–23 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  10. Gendron, B., Crainic, T.G.: Relaxations for multicommodity capacitated network design problems. Publication CRT-965, Centre de recherche sur les transports, Université de Montréal (1994)

  11. Gendron, B., Crainic, T.G.: Bounding procedures for multicommodity capacitated fixed charge network design problems. Publication CRT-96-06, Centre de recherche sur les transports, Université de Montréal (1996)

  12. Gendron, B., Crainic, T.G., Frangioni, A.: Multicommodity capacitated network design. In: Sanso, B., Soriano, P. (eds.) Telecommunications Network Planning, pp. 1–19. Kluwer, Norwell (1999)

    Google Scholar 

  13. Ghamlouche, I., Crainic, T.G., Gendreau, M.: Cycle-based neighbourhoods for fixed-charge capacitated multicommodity network design. Oper. Res. 51, 655–667 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  14. Ghamlouche, I., Crainic, T.G., Gendreau, M.: Path relinking, cycle-based neighbourhoods and capacitated multicommodity network design. Ann. Oper. Res. 131, 109–133 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  15. Günlük, O.: A branch-and-cut algorithm for capacitated network design problems. Math. Program. 86, 17–39 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  16. Holmberg, K., Yuan, D.: A lagrangean heuristic based branch-and-bound approach for the capacitated network design problem. Oper. Res. 48, 461–481 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  17. Kliewer, G., Timajev, L.: Relax-and-cut for capacitated network design. In: Proceedings of the 13th Annual European Symposium on Algorithms (ESA). Lecture Notes on Computer Science, vol. 3669, pp. 47–58. Springer, Berlin (2005)

    Google Scholar 

  18. Magnanti, T.L., Wong, R.T.: Network design and transportation planning: models and algorithms. Transp. Sci. 18, 1–56 (1984)

    Article  Google Scholar 

  19. Minoux, M.: Network synthesis and optimum network design problems: models, solution methods and applications. Networks 19, 313–360 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  20. Sellman, M., Kliewer, G., Koberstein, A.: Lagrangian cardinality cuts and variable fixing for capacitated network design. In: Proceedings of the 10th Annual European Symposium on Algorithms (ESA). Lecture Notes on Computer Science, vol. 2461, pp. 845–858. Springer, Berlin (2002)

    Google Scholar 

  21. Stoer, M., Dahl, G.: A polyhedral approach to multicommodity survivable network design. Numer. Math. 68, 149–167 (1994)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jean-François Cordeau.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Costa, A.M., Cordeau, JF. & Gendron, B. Benders, metric and cutset inequalities for multicommodity capacitated network design. Comput Optim Appl 42, 371–392 (2009). https://doi.org/10.1007/s10589-007-9122-0

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10589-007-9122-0

Keywords

Navigation