A Multistage Stochastic Programming Approach to the Optimal Surveillance and Control of the Emerald Ash Borer in Cities

DOI10.1287/ijoc.2020.0963OpenAlexW3092611010WikidataQ111174281 ScholiaQ111174281MaRDI QIDQ4995106

Najmaddin Akhundov, Kathleen Knight, Charles E. Flower, Robert G. Haight, İ. Esra Büyüktahtakın, Eyyüb Y. Kıbış

Publication date: 23 June 2021

Published in: INFORMS Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/ijoc.2020.0963

zbMATH Keywords

surveillancelarge-scale optimizationcutting planesendogenous uncertaintysustainabilityepidemic diseasesdecision-dependent uncertaintyemerald ash borer (Agrilus planipennis)multistage stochastic mixed integer programming (M-SMIP) model

Mathematics Subject Classification ID

Mathematical programming (90Cxx)

Related Items (3)

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Uses Software

• CPLEX

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