IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v41y2005i3p235-259.html
   My bibliography  Save this article

Container movement by trucks in metropolitan networks: modeling and optimization

Author

Listed:
  • Jula, Hossein
  • Dessouky, Maged
  • Ioannou, Petros
  • Chassiakos, Anastasios

Abstract

Container movement by trucks with time constraints at origins and destinations is modeled as an asymmetric "multi-Traveling Salesmen Problem with Time Windows" (m-TSPTW) with social constraints. A two-phase exact algorithm based on dynamic programming (DP) is proposed that finds the best routes for a fleet of trucks. Since the m-TSPTW problem is NP-hard, the computational time for optimally solving large size problems becomes prohibitive. For large size problems, we develop a hybrid methodology consisting of DP in conjunction with genetic algorithms. The developed algorithms are compared with an insertion heuristic method. Computational results demonstrate the efficiency of the developed algorithms.

Suggested Citation

  • Jula, Hossein & Dessouky, Maged & Ioannou, Petros & Chassiakos, Anastasios, 2005. "Container movement by trucks in metropolitan networks: modeling and optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(3), pages 235-259, May.
    • Handle: RePEc:eee:transe:v:41:y:2005:i:3:p:235-259
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554504000365
    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.

    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:transe:v:41:y:2005:i:3:p:235-259. 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/wps/find/journaldescription.cws_home/600244/description#description .

    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.