[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
article

A Hybrid Simulated Annealing and Simplex Method for Fixed-Cost Capacitated Multicommodity Network Design

Published: 01 October 2011 Publication History

Abstract

The fixed-cost Capacitated Multicommodity Network Design (CMND) problem is a well known NP-hard problem. This paper presents a matheuristic algorithm combining Simulated Annealing (SA) metaheuristic and Simplex method for CMND problem. In the proposed algorithm, a binary array is considered as solution representation and the SA algorithm manages open and closed arcs. Several strategies for opening and closing arcs are proposed and evaluated. In this matheuristic approach, for a given design vector, CMND becomes a Capacitated Multicommodity minimum Cost Flow (CMCF) problem. The exact evaluation of the CMCF problem is performed using the Simplex method. The parameter tuning for the proposed algorithm is done by means of design of experiments approach. The performance of the proposed algorithm is evaluated by solving different benchmark instances. The results of the proposed algorithm show that it is able to obtain better solutions in comparison with previous methods in the literature.

References

[1]
Adenso-Díaz, B., & Laguna, M. (2006). Fine-tuning of algorithms using fractional experimental design and local search. Operations Research, 54, 99-114.
[2]
Ahuja, R. K., Magnanti, T. L., & Oril, J. B. (1993). Theory, algorithms, and application. Upper Saddle River, NJ: Prentice Hall.
[3]
Alvarez, A. M., Lez-Velarde, J. L. G., & De-alba, K. (2005). Scatter search for network design problem. Annals of Operations Research, 138, 159-178.
[4]
Balakrishnan, A., Magnanti, T. L., & Mirchandani, P. (1997). Annotated bibliographies in combinatorial optimization. In Dell'Amico, M., Maffioli, F., & Martello, S. (Eds.), Network design (pp. 311-334). New York, NY: John Wiley & Sons.
[5]
Beasley, J. E. (1990). OR-Library: Distributing test problems by electronic mail. The Journal of the Operational Research Society, 41, 1069-1072.
[6]
Biratteri, M. (2009). Tuning Metaheuristics: A machine learning perspective. Heidelberg, Germany: Springer-Verlag.
[7]
Blum, C., Puchinger, J., Raidl, G. R., & Roli, A. (2011). Hybrid metaheuristics in combinatorial optimization: A survey. Applied Soft Computing, 11, 4135-4151.
[8]
Boschetti, M., Maniezzo, V., Roffilli, M., & Rohler, A. B. (2009). Matheuristics: Optimization, simulation and control. In Proceedings of the 6th International Workshop on Hybrid Metaheuristics (pp. 171-177).
[9]
Caserta, M., & Voββ, S. (2009). Metaheuristics: Intelligent problem solving. In Maniezzo, V., Stützle, T., & Voββ, S. (Eds.), Matheuristics: Hybridizing metaheuristics and mathematical programming (pp. 1-38). Berlin, Germany: Springer-Verlag.
[10]
Crainic, T. G. (2000). Service network design in freight transportation. European Journal of Operational Research, 122, 272-288.
[11]
Crainic, T. G., Dejax, P., & Delorme, L. (1989). Models for multimode location problem with interdepot balancing requirement. Annals of Operations Research, 18, 277-302.
[12]
Crainic, T. G., & Gendreau, M. (2002). Cooperative parallel tabu search for capacitated network design. Journal of Heuristics, 8, 601-627.
[13]
Crainic, T. G., & Gendreau, M. (2007). A scatter search heuristic for the fixed-charge capacitated network design problem. Metaheuristics, Operations Research/Computer Science Interfaces Series, Part I, 39, 25-40.
[14]
Crainic, T. G., Gendreau, M., & Farvolden, J. M. (2000). A Simplex-based tabu search method for capacitated network design. INFORMS Journal on Computing, 12, 223-236.
[15]
Crainic, T. G., Gendreau, M., & Hernu, G. (2004). A slope scaling/Lagrangian perturbation heuristic with long-term memory for multicommodity capacitated fixed-charge network design. Journal of Heuristics, 10, 525-545.
[16]
Crainic, T. G., Li, Y., & Toulouse, M. (2006). A first multilevel cooperative algorithm for capacitated multicommodity network design. Computers & Operations Research, 33, 2602-2622.
[17]
Frangioni, A., & Gendron, B. (2008). 0-1 reformulation of the multicommodity capacitated network design problem. Discrete Applied Mathematics, 157, 1229-1241.
[18]
Gendron, B., & Crainic, T. G. (1994). Relaxations for multicommodity capacitated network design problems (Publication No. CRT-945). Montreal, QC, Canada: Centre de recherche sur les transports, Université de Montréal.
[19]
Gendron, B., Crainic, T. G., & Frangioni, A. (1998). Multicommodity capacitated network design. In Sanso, B., & Soriono, P. (Eds.), Telecommunication network planning (pp. 1-19). Boston, MA: Kluwer Academic.
[20]
Ghamlouche, I., Crainic, T. G., & Gendreau, M. (2003). Cycle-based neighbourhoods for fixed-charge capacitated multicommodity network design. Operations Research, 51, 655-667.
[21]
Ghamlouche, I., Crainic, T. G., & Gendreau, M. (2004). Path relinking, cycle-based neighborhoods and capacitated multicommodity network design. Annals of Operations Research, 131, 109-133.
[22]
Glover, F., & Kochenberger, G. A. (2003). Handbook of metaheuristics. Boston, MA: Kluwer Academic.
[23]
Jayaraman, V., & Ross, A. (2002). A simulated annealing methodology to distribution network design and management. European Journal of Operational Research, 144, 629-645.
[24]
Katayama, N., Chen, M., & Kubo, M. (2009). Capacity scaling heuristic for the multicommodity capacitated network design problem. Journal of Computational and Applied Mathematics, 232, 90-101.
[25]
Kirkpatrick, S., Gelatt, C., & Vecchi, M. (1983). Optimization by simulated annealing. Science, 220, 671-680. 17813860.
[26]
Magnanti, T. L., & Wong, R. T. (1984). Network design and transportation planning: models and algorithms. Transportation Science, 18, 1-55.
[27]
Minoux, M. (1989). Network synthesis and optimum network design problems: Models, solution methods and applications. Networks, 19, 313-360.
[28]
Minoux, M. (2001). Discrete cost multicommodity network optimization problems and exact solution methods. Annals of Operations Research, 106, 19-46.
[29]
Minoux, M. (2004). Polynomial approximation schemes and exact algorithms for optimum curve segmentation problems. Discrete Applied Mathematics, 144, 158-172.
[30]
Montgomery, D. (2005). Design and analysis of experiments. New York, NY: John Wiley & Sons.
[31]
Ridge, E. (2007). Design of experiments for the tuning of optimization algorithms (Unpublished doctoral dissertation). University of York, York, UK.

Cited By

View all
  • (2018)A Cutting-Plane Neighborhood Structure for Fixed-Charge Capacitated Multicommodity Network Design ProblemINFORMS Journal on Computing10.5555/2736028.273603227:1(48-58)Online publication date: 30-Dec-2018
  • (2018)A Cutting-Plane Neighborhood Structure for Fixed-Charge Capacitated Multicommodity Network Design ProblemINFORMS Journal on Computing10.5555/2735998.273600227:1(48-58)Online publication date: 30-Dec-2018
  • (2018)A Cutting-Plane Neighborhood Structure for Fixed-Charge Capacitated Multicommodity Network Design ProblemINFORMS Journal on Computing10.5555/2725966.272597027:1(48-58)Online publication date: 30-Dec-2018
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image International Journal of Applied Metaheuristic Computing
International Journal of Applied Metaheuristic Computing  Volume 2, Issue 4
October 2011
57 pages
ISSN:1947-8283
EISSN:1947-8291
Issue’s Table of Contents

Publisher

IGI Global

United States

Publication History

Published: 01 October 2011

Author Tags

  1. Matheuristic
  2. Metaheuristic
  3. Multicommodity Capacitated Network Design Problem
  4. Network Design Problem
  5. Simulated Annealing

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 06 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2018)A Cutting-Plane Neighborhood Structure for Fixed-Charge Capacitated Multicommodity Network Design ProblemINFORMS Journal on Computing10.5555/2736028.273603227:1(48-58)Online publication date: 30-Dec-2018
  • (2018)A Cutting-Plane Neighborhood Structure for Fixed-Charge Capacitated Multicommodity Network Design ProblemINFORMS Journal on Computing10.5555/2735998.273600227:1(48-58)Online publication date: 30-Dec-2018
  • (2018)A Cutting-Plane Neighborhood Structure for Fixed-Charge Capacitated Multicommodity Network Design ProblemINFORMS Journal on Computing10.5555/2725966.272597027:1(48-58)Online publication date: 30-Dec-2018
  • (2018)A Cutting-Plane Neighborhood Structure for Fixed-Charge Capacitated Multicommodity Network Design ProblemINFORMS Journal on Computing10.5555/2725954.272595827:1(48-58)Online publication date: 30-Dec-2018
  • (2018)A Cutting-Plane Neighborhood Structure for Fixed-Charge Capacitated Multicommodity Network Design ProblemINFORMS Journal on Computing10.5555/2700896.270090027:1(48-58)Online publication date: 30-Dec-2018
  • (2018)A Cutting-Plane Neighborhood Structure for Fixed-Charge Capacitated Multicommodity Network Design ProblemINFORMS Journal on Computing10.1287/ijoc.2014.0609(1-11)Online publication date: 30-Dec-2018

View Options

View options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media