Cloud seeding optimization under uncertainty: A Markov chain approach in a two-stage fuzzy-stochastic framework

•Proposing an integrated two-stage stochastic framework for cloud seeding decisions.•Modeling of cloud seeding impact using a Markov chain framework.•Lagrangian relaxation enhances solution efficiency for large-scale problems.•Valid inequalities reduce the complexity of binary variables.•Scenario-ba...

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Vydané v:	Operations Research Perspectives Ročník 15; s. 100356
Hlavní autori:	Sadeghi, Mohammad, Yaghoubi, Saeed
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2025 Elsevier
Predmet:	Cloud seeding Markov chain Two-stage stochastic programming Valid inequalities Water management Water resources Markov chain Cloud seeding Water management Valid inequalities Water resources Two-stage stochastic programming
ISSN:	2214-7160, 2214-7160
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