IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-3-032-03108-2_5.html

A MIP Model for Wildfire Extended Attack

In: Advances in Optimization and Wildfire

Author

Listed:
  • Filipe Alvelos

    (University of Minho, Department of Production and Systems/ALGORITMI Research Center/LASI, School of Engineering)

  • Marco Marto

    (University of Minho, ALGORITMI Research Center/LASI, School of Engineering)

  • André Bergsten Mendes

    (University of São Paulo, Department of Naval Architecture and Ocean Engineering/RouteLab)

Abstract

In this paper we address the problem of routing the firefighting resources available for an extended attack to a wildfire. We conceive a mixed integer programming (MIP) model that integrates fire spread and resource operations (movement, direct, and indirect attacks), both spatially and temporally. We consider lexicographic objectives related to fire spread—the protection of sensible points and the minimization of the burned area—and to resources—minimizing the cost of their usage and the duration of their routes. At the core of the model is a set of networks: one for fire and one for each type of resource, linked by covering relations representing suppression and safety. This work extends existing MIP models for fire spread and resources positioning (in particular, extending Alvelos et al. [6]). We report on some preliminary computational experiments to validate the model and assess how difficult it is to solve instances derived from an actual landscape with fire tranmission times obtained by the Rothermel’s fire behaviour model.

Suggested Citation

  • Filipe Alvelos & Marco Marto & André Bergsten Mendes, 2026. "A MIP Model for Wildfire Extended Attack," Lecture Notes in Operations Research, in: Filipe Alvelos & Isabel Martins & Ana Maria A. C. Rocha (ed.), Advances in Optimization and Wildfire, pages 73-86, Springer.
  • Handle: RePEc:spr:lnopch:978-3-032-03108-2_5
    DOI: 10.1007/978-3-032-03108-2_5
    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:lnopch:978-3-032-03108-2_5. 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.