IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-319-91086-4_4.html
   My bibliography  Save this book chapter

Large Neighborhood Search

In: Handbook of Metaheuristics

Author

Listed:
  • David Pisinger

    (Technical University of Denmark)

  • Stefan Ropke

    (Technical University of Denmark)

Abstract

In the last 15 years, heuristics based on large neighborhood search (LNS) and the variant adaptive large neighborhood search (ALNS) have become some of the most successful paradigms for solving various transportation and scheduling problems. Large neighborhood search methods explore a complex neighborhood through the use of heuristics. Using large neighborhoods makes it possible to find better candidate solutions in each iteration and hence follow a more promising search path. Starting from the general framework of large neighborhood search, we study in depth adaptive large neighborhood search, discussing design ideas and properties of the framework. Application of large neighborhood search methods in routing and scheduling are discussed. We end the chapter by presenting the related framework of very large-scale neighborhood search (VLSN) and discuss parallels to LNS, before drawing some conclusions about algorithms exploiting large neighborhoods.

Suggested Citation

  • David Pisinger & Stefan Ropke, 2019. "Large Neighborhood Search," International Series in Operations Research & Management Science, in: Michel Gendreau & Jean-Yves Potvin (ed.), Handbook of Metaheuristics, edition 3, chapter 0, pages 99-127, Springer.
  • Handle: RePEc:spr:isochp:978-3-319-91086-4_4
    DOI: 10.1007/978-3-319-91086-4_4
    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 search for a similarly titled item that would be available.

    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:isochp:978-3-319-91086-4_4. 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.