IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v20y1974i5p774-787.html
   My bibliography  Save this article

An Algorithm for Large Set Partitioning Problems

Author

Listed:
  • Roy E. Marsten

    (Northwestern University)

Abstract

An algorithm is presented for the special integer linear program known as the set partitioning problem. This problem has a binary coefficient matrix, binary variables, and unit resources. Furthermore, all of its constraints are equations. In spite of its very special form, the set partitioning problem has many practical interpretations. The algorithm is of the branch and bound type. A special class of finite mappings is enumerated rather than the customary set of binary solution vectors. Linear programming is used to obtain bounds on the minimal costs of the subproblems that arise. Computational results are reported for several large problems.

Suggested Citation

  • Roy E. Marsten, 1974. "An Algorithm for Large Set Partitioning Problems," Management Science, INFORMS, vol. 20(5), pages 774-787, January.
  • Handle: RePEc:inm:ormnsc:v:20:y:1974:i:5:p:774-787
    DOI: 10.1287/mnsc.20.5.774
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.20.5.774
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.20.5.774?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
    ---><---

    Citations

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


    Cited by:

    1. Sarin, Subhash C. & Aggarwal, Sanjay, 2001. "Modeling and algorithmic development of a staff scheduling problem," European Journal of Operational Research, Elsevier, vol. 128(3), pages 558-569, February.
    2. Sun, Wei & Yu, Yang & Wang, Junwei, 2019. "Heterogeneous vehicle pickup and delivery problems: Formulation and exact solution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 181-202.
    3. Hanif D. Sherali & Youngho Lee & Donald D. Boyer, 1995. "Scheduling target illuminators in naval battle‐group anti‐air warfare," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(5), pages 737-755, August.
    4. E. Rod Butchers & Paul R. Day & Andrew P. Goldie & Stephen Miller & Jeff A. Meyer & David M. Ryan & Amanda C. Scott & Chris A. Wallace, 2001. "Optimized Crew Scheduling at Air New Zealand," Interfaces, INFORMS, vol. 31(1), pages 30-56, February.
    5. Mohamed Haouari & Farah Zeghal Mansour & Hanif D. Sherali, 2019. "A New Compact Formulation for the Daily Crew Pairing Problem," Transportation Science, INFORMS, vol. 53(3), pages 811-828, May.
    6. Yuceer, Umit, 1997. "A multi-product loading problem: a model and solution method," European Journal of Operational Research, Elsevier, vol. 101(3), pages 519-531, September.

    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:inm:ormnsc:v:20:y:1974:i:5:p:774-787. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.