IDEAS home Printed from https://ideas.repec.org/a/ids/ijmore/v16y2020i3p435-454.html
   My bibliography  Save this article

Comparison of two modified meta-heuristic soft algorithms for solving a bi-objective facility layout problem

Author

Listed:
  • Amir Abbas Shojaie
  • Seyed Esmail Seyedi Bariran

Abstract

Facility layout problem (FLP) is one of the most important location analysis problems in operation research and computational geometry. This paper presents a novel optimisation model-based two meta-heuristics of particle swarm optimisation (PSO) and parallel simulated annealing (SA). Then, the problem is solved using the modified algorithms to determine the total material handling cost and dead space. The results obtained from the two proposed models are then compared and analysed by referring to two well-known previous approaches to find the optimal solution for the problem. The obtained results show that the modified PSO and SA algorithms outperform the previous two methods and therefore can be effectively as an optimal solution for certain bi-objective facility layout problems.

Suggested Citation

  • Amir Abbas Shojaie & Seyed Esmail Seyedi Bariran, 2020. "Comparison of two modified meta-heuristic soft algorithms for solving a bi-objective facility layout problem," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 16(3), pages 435-454.
  • Handle: RePEc:ids:ijmore:v:16:y:2020:i:3:p:435-454
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=106928
    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:16:y:2020:i:3:p:435-454. 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.