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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Towards a stochastic programming modeling framework for districting

Participants in the publication
Antonio Diglio (Author)
Stefan Nickel (Author)
Francisco Saldanha-da-Gama (Author)
Dep. Estatística e Investigação Operacional
CMAFcIO - Centro de Matemática, Aplicações Fundamentais e Investigação Operacional

Scope
International

Refereeing
Yes

Date of Publication
2020-05-20

Where published
Annals of Operations Research

Publication Identifiers
ISSN - 0254-5330

Publisher
Springer Science and Business Media LLC

Volume
292
Number
1

Number of pages
36
Starting page
249
Last page
285

Document Identifiers
DOI - https://doi.org/10.1007/s10479-020-03631-7
URL - http://dx.doi.org/10.1007/s10479-020-03631-7

Rankings
Web Of Science 2.583 (2019) - Q2 - OPERATIONS RESEARCH & MANAGEMENT SCIENCE - SCIE
SCOPUS Q1 (2019) - 5 - Management Science and Operations Research
SCIMAGO Q1 (2019) - 1.117 - Management Science and Operations Research


Export

APA
Antonio Diglio, Stefan Nickel, Francisco Saldanha-da-Gama, (2020). Towards a stochastic programming modeling framework for districting. Annals of Operations Research, 292, 249-285. ISSN 0254-5330. eISSN . http://dx.doi.org/10.1007/s10479-020-03631-7

IEEE
Antonio Diglio, Stefan Nickel, Francisco Saldanha-da-Gama, "Towards a stochastic programming modeling framework for districting" in Annals of Operations Research, vol. 292, pp. 249-285, 2020. 10.1007/s10479-020-03631-7

BIBTEX
@article{47609, author = {Antonio Diglio and Stefan Nickel and Francisco Saldanha-da-Gama}, title = {Towards a stochastic programming modeling framework for districting}, journal = {Annals of Operations Research}, year = 2020, pages = {249-285}, volume = 292 }