IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-0-387-30165-5_14.html
   My bibliography  Save this book chapter

Optimization Issues in Distribution Network Design

In: Handbook of Optimization in Telecommunications

Author

Listed:
  • Geraldo R. Mateus

    (Federal University of Minas Gerais, Department of Computer Science)

  • Zenilton K. G. Patrocínio Jr.

    (Federal University of Minas Gerais, Department of Computer Science)

Abstract

A distribution network design problem arises in a lower level of an hierarchical modeling approach for telecommunication network planning. Improvements of technologies used to deploy distribution networks have contributed to make distribution network planning more similar to other levels of access network. The major points that differentiate distribution network design problems are its huge dimensions and the several technological options that could be used to connect customers. Major technological trends to deploy distribution networks are discussed here. As an extension of the capacitated network design problem, it is a NP-hard combinatorial optimization problem. The need to install facilities and capacities in discrete levels and the incorporation of addition technology-related cost terms and constraints makes the exact solution of the mixed integer programming model even harder. There are several models and strategies that might be devised for solving those models, we present some of them.

Suggested Citation

  • Geraldo R. Mateus & Zenilton K. G. Patrocínio Jr., 2006. "Optimization Issues in Distribution Network Design," Springer Books, in: Mauricio G. C. Resende & Panos M. Pardalos (ed.), Handbook of Optimization in Telecommunications, chapter 14, pages 341-366, Springer.
  • Handle: RePEc:spr:sprchp:978-0-387-30165-5_14
    DOI: 10.1007/978-0-387-30165-5_14
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:sprchp:978-0-387-30165-5_14. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.