IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v81y1998i0p289-30610.1023-a1018961208614.html
   My bibliography  Save this article

A Lagrangian heuristic for the Prize CollectingTravelling Salesman Problem

Author

Listed:
  • M. Dell'Amico
  • F. Maffioli
  • A. Sciomachen

Abstract

In this paper, we consider the Prize Collecting Travelling Salesman Problem (PCTSP),which is a variant of the Travelling Salesman Problem (TSP), where a tour visiting eachnode at most once in a given graph has to be computed such that a prize is associated witheach node and a penalty has to be paid for every unvisited node: moreover, a knapsackconstraint guarantees that a sufficiently large prize is collected. We develop a Lagrangianheuristic and obtain an upper bound in the form of a feasible solution starting from a lowerbound to the problem recently proposed in the literature. We evaluate these bounds utilizingboth randomly generated instances and real ones with very satisfactory results. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • M. Dell'Amico & F. Maffioli & A. Sciomachen, 1998. "A Lagrangian heuristic for the Prize CollectingTravelling Salesman Problem," Annals of Operations Research, Springer, vol. 81(0), pages 289-306, June.
  • Handle: RePEc:spr:annopr:v:81:y:1998:i:0:p:289-306:10.1023/a:1018961208614
    DOI: 10.1023/A:1018961208614
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1018961208614
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1023/A:1018961208614?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dominique Feillet & Pierre Dejax & Michel Gendreau, 2005. "Traveling Salesman Problems with Profits," Transportation Science, INFORMS, vol. 39(2), pages 188-205, May.
    2. Álvarez-Miranda, Eduardo & Luipersbeck, Martin & Sinnl, Markus, 2018. "Gotta (efficiently) catch them all: Pokémon GO meets Orienteering Problems," European Journal of Operational Research, Elsevier, vol. 265(2), pages 779-794.
    3. L Tang & X Wang, 2008. "An iterated local search heuristic for the capacitated prize-collecting travelling salesman problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 590-599, May.

    More about this item

    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:annopr:v:81:y:1998:i:0:p:289-306:10.1023/a:1018961208614. 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.