IDEAS home Printed from https://ideas.repec.org/a/ids/ijenma/v5y2012i2p197-218.html
   My bibliography  Save this article

Dynamic vehicle path planning using an enhanced simulated annealing approach for supply chains

Author

Listed:
  • Hui Miao
  • Xiaodi Huang

Abstract

Evolutionary computation is an effective tool for solving optimisation problems. However, its significant computational demand has limited its real-time and online applications, e.g., mobile vehicles in supply chains. An enhanced SA approach incorporating with initial path selection heuristics and multiple mathematical operators is proposed in this paper for vehicle path planning in dynamic supply chain environments. It requires less computation times while giving better trade-offs among simplicity, far-field accuracy, and computational cost. The enhanced SA is analysed in several environments. The evaluation results demonstrate the ESA approach has the best performance for vehicle path planning in dynamic supply chains.

Suggested Citation

  • Hui Miao & Xiaodi Huang, 2012. "Dynamic vehicle path planning using an enhanced simulated annealing approach for supply chains," International Journal of Enterprise Network Management, Inderscience Enterprises Ltd, vol. 5(2), pages 197-218.
    • Handle: RePEc:ids:ijenma:v:5:y:2012:i:2:p:197-218
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=47620
    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:ijenma:v:5:y:2012:i:2:p:197-218. 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=187 .

    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.