IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v169y2006i2p477-489.html
   My bibliography  Save this article

Solving feature subset selection problem by a Parallel Scatter Search

Author

Listed:
  • Garci'a Lopez, Felix
  • Garci'a Torres, Miguel
  • Melian Batista, Belen
  • Moreno Perez, Jose A.
  • Moreno-Vega, J. Marcos

Abstract

No abstract is available for this item.

Suggested Citation

  • Garci'a Lopez, Felix & Garci'a Torres, Miguel & Melian Batista, Belen & Moreno Perez, Jose A. & Moreno-Vega, J. Marcos, 2006. "Solving feature subset selection problem by a Parallel Scatter Search," European Journal of Operational Research, Elsevier, vol. 169(2), pages 477-489, March.
  • Handle: RePEc:eee:ejores:v:169:y:2006:i:2:p:477-489
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(04)00549-1
    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.

    Citations

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


    Cited by:

    1. Panagopoulos, Orestis P. & Pappu, Vijay & Xanthopoulos, Petros & Pardalos, Panos M., 2016. "Constrained subspace classifier for high dimensional datasets," Omega, Elsevier, vol. 59(PA), pages 40-46.
    2. Kerkhove, L.-P. & Vanhoucke, M., 2017. "A parallel multi-objective scatter search for optimising incentive contract design in projects," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1066-1084.
    3. William S Sanders & C Ian Johnston & Susan M Bridges & Shane C Burgess & Kenneth O Willeford, 2011. "Prediction of Cell Penetrating Peptides by Support Vector Machines," PLOS Computational Biology, Public Library of Science, vol. 7(7), pages 1-12, July.
    4. Muhammad Arif & Ahmed Kattan, 2015. "Physical Activities Monitoring Using Wearable Acceleration Sensors Attached to the Body," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-16, July.
    5. Pablo Venegas & Francisco Calderon & Daniel Riofrío & Diego Benítez & Giovani Ramón & Diego Cisneros-Heredia & Miguel Coimbra & José Luis Rojo-Álvarez & Noel Pérez, 2021. "Automatic ladybird beetle detection using deep-learning models," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-21, June.

    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:169:y:2006:i:2:p:477-489. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.