IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v174y2006i1p69-91.html
   My bibliography  Save this article

Heuristics for matrix bandwidth reduction

Author

Listed:
  • Lim, Andrew
  • Rodrigues, Brian
  • Xiao, Fei

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ejores:v:174:y:2006:i:1:p:69-91
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(05)00321-8
    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. 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.
    2. 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.
    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. Yanasse, Horacio Hideki & Senne, Edson Luiz França, 2010. "The minimization of open stacks problem: A review of some properties and their use in pre-processing operations," European Journal of Operational Research, Elsevier, vol. 203(3), pages 559-567, June.
    4. S. L. Gonzaga de Oliveira & C. Carvalho, 2022. "Metaheuristic algorithms for the bandwidth reduction of large-scale matrices," Journal of Combinatorial Optimization, Springer, vol. 43(4), pages 727-784, May.
    5. 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.

    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. 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.
    2. Michele Samorani & Manuel Laguna, 2012. "Data-Mining-Driven Neighborhood Search," INFORMS Journal on Computing, INFORMS, vol. 24(2), pages 210-227, May.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Alberto Caprara & Juan-José Salazar-González, 2005. "Laying Out Sparse Graphs with Provably Minimum Bandwidth," INFORMS Journal on Computing, INFORMS, vol. 17(3), pages 356-373, August.
    9. Weiqi Li, 2011. "Seeking global edges for traveling salesman problem in multi-start search," Journal of Global Optimization, Springer, vol. 51(3), pages 515-540, November.
    10. Vicente Campos & Manuel Laguna & Rafael Martí, 2005. "Context-Independent Scatter and Tabu Search for Permutation Problems," INFORMS Journal on Computing, INFORMS, vol. 17(1), pages 111-122, February.
    11. Ivorra, Benjamin & Mohammadi, Bijan & Manuel Ramos, Angel, 2015. "A multi-layer line search method to improve the initialization of optimization algorithms," European Journal of Operational Research, Elsevier, vol. 247(3), pages 711-720.
    12. Marti, Rafael, 2006. "Scatter Search--Wellsprings and Challenges," European Journal of Operational Research, Elsevier, vol. 169(2), pages 351-358, March.
    13. 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.
    14. Juan Pantrigo & Rafael Martí & Abraham Duarte & Eduardo Pardo, 2012. "Scatter search for the cutwidth minimization problem," Annals of Operations Research, Springer, vol. 199(1), pages 285-304, October.
    15. S. L. Gonzaga de Oliveira & C. Carvalho, 2022. "Metaheuristic algorithms for the bandwidth reduction of large-scale matrices," Journal of Combinatorial Optimization, Springer, vol. 43(4), pages 727-784, May.
    16. Santos, Vinícius Gandra Martins & Carvalho, Marco Antonio Moreira de, 2021. "Tailored heuristics in adaptive large neighborhood search applied to the cutwidth minimization problem," European Journal of Operational Research, Elsevier, vol. 289(3), pages 1056-1066.

    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:174:y:2006:i:1:p:69-91. 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.