Multi-stage stochastic districting: optimization models and solution algorithms

Pomes, A. orcid.org/0009-0009-6087-5363, Diglio, A. orcid.org/0000-0002-9775-3927, Nickel, S. orcid.org/0000-0002-8339-0117 et al. (1 more author) (2025) Multi-stage stochastic districting: optimization models and solution algorithms. Annals of Operations Research. ISSN 0254-5330

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Item Type: Article
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© The Author(s) 2025. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Applied Mathematics; Information and Computing Sciences; Mathematical Sciences
Dates:
  • Published: 17 January 2025
  • Published (online): 17 January 2025
  • Accepted: 23 December 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 30 Jan 2025 17:09
Last Modified: 30 Jan 2025 17:09
Status: Published online
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1007/s10479-024-06459-7
Open Archives Initiative ID (OAI ID):

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