Inexact multistage stochastic integer programming for water resources management under uncertainty

In this study, an inexact multistage stochastic integer programming (IMSIP) method is developed for water resources management under uncertainty. This method incorporates techniques of inexact optimization and multistage stochastic programming within an integer programming framework. It can deal wit...

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Veröffentlicht in:	Journal of environmental management Jg. 88; H. 1; S. 93 - 107
Hauptverfasser:	Li, Y.P., Huang, G.H., Nie, S.L., Liu, L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.07.2008 Elsevier Academic Press Ltd
Schlagworte:	Agriculture Animal, plant and microbial ecology Applied ecology Biological and medical sciences Case studies Cities Conservation, protection and management of environment and wildlife Decision making decision support systems economic analysis Economics economies of scale Environment Environmental management Flood control floods Fundamental and applied biological sciences. Psychology General aspects Industry inexact multistage stochastic integer programming method Inexact optimization Integer programming mathematical models Models, Theoretical Multistage Optimization Penalties policy analysis Resource management risk management Software Stochastic analysis Stochastic models Stochastic Processes Studies Transactions Uncertainty Water allocation Water diversion Water management water policy Water resources Water resources management Water shortages Water Supply Integer programming Inexact optimization Multistage Stochastic analysis Uncertainty Decision making Environment Water resources Water resource management Environmental management Optimization
ISSN:	0301-4797, 1095-8630
Online-Zugang:	Volltext
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