IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v258y2017i1p124-135.html
   My bibliography  Save this article

Fixed charge multicommodity network design using p-partition facets

Author

Listed:
  • Agarwal, Y.K.
  • Aneja, Y.P.

Abstract

We are given an undirected network G[V, E] and a set of traffic demands. To install a potential edge e ∈ E we incur a cost Fe to provide a positive capacity ae. The objective is to select edges, at minimum cost, so as to permit a feasible multicommodity flow of all traffic. We study structure of the projection polytope of this problem, in the space of binary variables associated with fixed-charges, by relating facets of a p node problem (p=2,3, or 4), defined over a multi-graph obtained by a p-partition of V, to the facets of the original problem. Inspired from the well-known “cover” inequalities of the Knapsack Problem, we develop the notion of p-partition cover inequalities. We present necessary and sufficient conditions for such inequalities to be facet defining for p = 3 and 4. A simple heuristic approach for separating and adding such violated inequalities is presented, and implemented for p values up to 10. We report optimal solutions for problems with 30 nodes, 60 edges, and fully dense demand matrices within a few minutes of cpu time for most instances. Some results for dense graph problems are also reported.

Suggested Citation

  • Agarwal, Y.K. & Aneja, Y.P., 2017. "Fixed charge multicommodity network design using p-partition facets," European Journal of Operational Research, Elsevier, vol. 258(1), pages 124-135.
  • Handle: RePEc:eee:ejores:v:258:y:2017:i:1:p:124-135
    DOI: 10.1016/j.ejor.2016.09.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221716307512
    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.

    References listed on IDEAS

    as
    1. T. L. Magnanti & R. T. Wong, 1984. "Network Design and Transportation Planning: Models and Algorithms," Transportation Science, INFORMS, vol. 18(1), pages 1-55, February.
    2. Herrmann, J. W. & Ioannou, G. & Minis, I. & Proth, J. M., 1996. "A dual ascent approach to the fixed-charge capacitated network design problem," European Journal of Operational Research, Elsevier, vol. 95(3), pages 476-490, December.
    3. Gendron, Bernard, 2002. "A note on "a dual-ascent approach to the fixed-charge capacitated network design problem"," European Journal of Operational Research, Elsevier, vol. 138(3), pages 671-675, May.
    Full references (including those not matched with items on IDEAS)

    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:ejores:v:258:y:2017:i:1:p:124-135. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.