IDEAS home Printed from https://ideas.repec.org/a/igg/japuc0/v4y2012i2p26-40.html
   My bibliography  Save this article

On a Genetic-Tabu Search Based Algorithm for Two-Dimensional Guillotine Cutting Problems

Author

Listed:
  • Hamza Gharsellaoui

    (INSAT Institute, University of Carthago, Tunisia)

  • Hamadi Hasni

    (ENSI School, University of Manouba, Tunisia)

Abstract

The paper deals with the purpose of one hybrid approach for solving the constrained two-dimensional cutting (2DC) problem. The authors study this hybrid approach that combines the genetic algorithm and the Tabu search method. For this problem, they assume a packing of a whole number of rectangular pieces to cut, and that all cuts are of guillotine type in one sheet of a fixed width and an infinite height. Finally, they undertake an extensive experimental study with a large number of problem instances extracted from the literature by the Hopper’s benchmarks in order to support and to prove their approach and to evaluate the performance.

Suggested Citation

  • Hamza Gharsellaoui & Hamadi Hasni, 2012. "On a Genetic-Tabu Search Based Algorithm for Two-Dimensional Guillotine Cutting Problems," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 4(2), pages 26-40, April.
    • Handle: RePEc:igg:japuc0:v:4:y:2012:i:2:p:26-40
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/japuc.2012040103
    Download Restriction: no
    ---><---

    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:igg:japuc0:v:4:y:2012:i:2:p:26-40. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.