IDEAS home Printed from https://ideas.repec.org/a/ids/ijmore/v25y2023i2p242-288.html
   My bibliography  Save this article

Elucidating two-stage flowshop multiprocessor scheduling problems using a hybrid genetic algorithm

Author

Listed:
  • Shun-chi Yu

Abstract

In recent decades, genetic algorithms (GAs) have often been applied as heuristic techniques at various settings entailing production scheduling. However, early convergence is one of the problems associated with this approach. This study develops an efficient local search rule for the target-oriented rule in traditional GAs. It also addresses the problem of two-stage multiprocessor flowshop scheduling (FSP) by viewing the due window and sequence-dependent setup times as constraints faced by common flowshops with multiprocessor scheduling suites in the actual production scenario. Using the simulated data, this study verifies the effectiveness and robustness of the proposed algorithm. The results of data testing demonstrate that the proposed method may outperform other algorithms, including a significant hybrid algorithm, in addressing the problems considered.

Suggested Citation

  • Shun-chi Yu, 2023. "Elucidating two-stage flowshop multiprocessor scheduling problems using a hybrid genetic algorithm," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 25(2), pages 242-288.
    • Handle: RePEc:ids:ijmore:v:25:y:2023:i:2:p:242-288
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=131392
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:ijmore:v:25:y:2023:i:2:p:242-288. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=320 .

    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.