IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v185y2008i3p1319-1335.html
   My bibliography  Save this article

An improved simulated annealing algorithm for bandwidth minimization

Author

Listed:
  • Rodriguez-Tello, Eduardo
  • Hao, Jin-Kao
  • Torres-Jimenez, Jose

Abstract

No abstract is available for this item.

Suggested Citation

  • Rodriguez-Tello, Eduardo & Hao, Jin-Kao & Torres-Jimenez, Jose, 2008. "An improved simulated annealing algorithm for bandwidth minimization," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1319-1335, March.
    • Handle: RePEc:eee:ejores:v:185:y:2008:i:3:p:1319-1335
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(06)00661-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. L Cavique & C Rego & I Themido, 1999. "Subgraph ejection chains and tabu search for the crew scheduling problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(6), pages 608-616, June.
    2. S. Lin & B. W. Kernighan, 1973. "An Effective Heuristic Algorithm for the Traveling-Salesman Problem," Operations Research, INFORMS, vol. 21(2), pages 498-516, April.
    3. Pinana, Estefania & Plana, Isaac & Campos, Vicente & Marti, Rafael, 2004. "GRASP and path relinking for the matrix bandwidth minimization," European Journal of Operational Research, Elsevier, vol. 153(1), pages 200-210, February.
    4. Marti, Rafael & Laguna, Manuel & Glover, Fred & Campos, Vicente, 2001. "Reducing the bandwidth of a sparse matrix with tabu search," European Journal of Operational Research, Elsevier, vol. 135(2), pages 450-459, December.
    5. Bruce Hajek, 1988. "Cooling Schedules for Optimal Annealing," Mathematics of Operations Research, INFORMS, vol. 13(2), pages 311-329, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vicente Campos & Estefanía Piñana & Rafael Martí, 2011. "Adaptive memory programming for matrix bandwidth minimization," Annals of Operations Research, Springer, vol. 183(1), pages 7-23, March.
    2. Behrooz Koohestani & Riccardo Poli, 2015. "Addressing the envelope reduction of sparse matrices using a genetic programming system," Computational Optimization and Applications, Springer, vol. 60(3), pages 789-814, April.
    3. Mladenovic, Nenad & Urosevic, Dragan & Pérez-Brito, Dionisio & García-González, Carlos G., 2010. "Variable neighbourhood search for bandwidth reduction," European Journal of Operational Research, Elsevier, vol. 200(1), pages 14-27, January.
    4. Liu, Zhenyuan & Han, Shuihua & Li, Chao & Gupta, Shivam & Sivarajah, Uthayasankar, 2022. "Leveraging customer engagement to improve the operational efficiency of social commerce start-ups," Journal of Business Research, Elsevier, vol. 140(C), pages 572-582.
    5. Cavero, Sergio & Pardo, Eduardo G. & Duarte, Abraham, 2023. "Efficient iterated greedy for the two-dimensional bandwidth minimization problem," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1126-1139.
    6. Rodriguez-Tello, Eduardo & Lardeux, Frédéric & Duarte, Abraham & Narvaez-Teran, Valentina, 2019. "Alternative evaluation functions for the cyclic bandwidth sum problem," European Journal of Operational Research, Elsevier, vol. 273(3), pages 904-919.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vicente Campos & Estefanía Piñana & Rafael Martí, 2011. "Adaptive memory programming for matrix bandwidth minimization," Annals of Operations Research, Springer, vol. 183(1), pages 7-23, March.
    2. Rego, César & Duarte, Renato, 2009. "A filter-and-fan approach to the job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 194(3), pages 650-662, May.
    3. Triki, E. & Collette, Y. & Siarry, P., 2005. "A theoretical study on the behavior of simulated annealing leading to a new cooling schedule," European Journal of Operational Research, Elsevier, vol. 166(1), pages 77-92, October.
    4. Michele Samorani & Manuel Laguna, 2012. "Data-Mining-Driven Neighborhood Search," INFORMS Journal on Computing, INFORMS, vol. 24(2), pages 210-227, May.
    5. Lim, Andrew & Rodrigues, Brian & Xiao, Fei, 2006. "Heuristics for matrix bandwidth reduction," European Journal of Operational Research, Elsevier, vol. 174(1), pages 69-91, October.
    6. Marti, Rafael & Campos, Vicente & Pinana, Estefania, 2008. "A branch and bound algorithm for the matrix bandwidth minimization," European Journal of Operational Research, Elsevier, vol. 186(2), pages 513-528, April.
    7. Van Breedam, Alex, 1995. "Improvement heuristics for the Vehicle Routing Problem based on simulated annealing," European Journal of Operational Research, Elsevier, vol. 86(3), pages 480-490, November.
    8. Behrooz Koohestani & Riccardo Poli, 2015. "Addressing the envelope reduction of sparse matrices using a genetic programming system," Computational Optimization and Applications, Springer, vol. 60(3), pages 789-814, April.
    9. Sergio Cavero & Eduardo G. Pardo & Abraham Duarte, 2022. "A general variable neighborhood search for the cyclic antibandwidth problem," Computational Optimization and Applications, Springer, vol. 81(2), pages 657-687, March.
    10. Mladenovic, Nenad & Urosevic, Dragan & Pérez-Brito, Dionisio & García-González, Carlos G., 2010. "Variable neighbourhood search for bandwidth reduction," European Journal of Operational Research, Elsevier, vol. 200(1), pages 14-27, January.
    11. Sheldon H. Jacobson & Shane N. Hall & Laura A. McLay & Jeffrey E. Orosz, 2005. "Performance Analysis of Cyclical Simulated Annealing Algorithms," Methodology and Computing in Applied Probability, Springer, vol. 7(2), pages 183-201, June.
    12. César Rego & Fred Glover, 2010. "Ejection chain and filter-and-fan methods in combinatorial optimization," Annals of Operations Research, Springer, vol. 175(1), pages 77-105, March.
    13. F. Mendivil & R. Shonkwiler & M. C. Spruill, 2005. "Analysis of Random Restart and Iterated Improvement for Global Optimization with Application to the Traveling Salesman Problem," Journal of Optimization Theory and Applications, Springer, vol. 124(2), pages 407-433, February.
    14. Mutsunori Yagiura & Toshihide Ibaraki & Fred Glover, 2004. "An Ejection Chain Approach for the Generalized Assignment Problem," INFORMS Journal on Computing, INFORMS, vol. 16(2), pages 133-151, May.
    15. Stoica, R.S. & Gregori, P. & Mateu, J., 2005. "Simulated annealing and object point processes: Tools for analysis of spatial patterns," Stochastic Processes and their Applications, Elsevier, vol. 115(11), pages 1860-1882, November.
    16. Zi-bin Jiang & Qiong Yang, 2016. "A Discrete Fruit Fly Optimization Algorithm for the Traveling Salesman Problem," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-15, November.
    17. Stefan Poikonen & Bruce Golden, 2020. "The Mothership and Drone Routing Problem," INFORMS Journal on Computing, INFORMS, vol. 32(2), pages 249-262, April.
    18. Luca Maria Gambardella & Marco Dorigo, 2000. "An Ant Colony System Hybridized with a New Local Search for the Sequential Ordering Problem," INFORMS Journal on Computing, INFORMS, vol. 12(3), pages 237-255, August.
    19. Rego, Cesar & Roucairol, Catherine, 1995. "Using Tabu search for solving a dynamic multi-terminal truck dispatching problem," European Journal of Operational Research, Elsevier, vol. 83(2), pages 411-429, June.
    20. Pirlot, Marc, 1996. "General local search methods," European Journal of Operational Research, Elsevier, vol. 92(3), pages 493-511, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:185:y:2008:i:3:p:1319-1335. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.