Simulation-Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation

This paper presents a survey of simulation and optimization modeling approaches used in reservoir systems operation problems. Optimization methods have been proved of much importance when used with simulation modeling and the two approaches when combined give the best results. The main objective of...

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Bibliographic Details
Published in:	Water resources management Vol. 24; no. 6; pp. 1107 - 1138
Main Authors:	Rani, Deepti, Moreira, Maria Madalena
Format:	Journal Article
Language:	English
Published:	Dordrecht Dordrecht : Springer Netherlands 01.04.2010 Springer Netherlands Springer Springer Nature B.V
Subjects:	artificial intelligence Artificial neural networks Atmospheric Sciences Civil Engineering Computer simulation Decision making Drought dynamic programming Earth and Environmental Science Earth Sciences Earth, ocean, space Environment Evolutionary computation Exact sciences and technology Fuzzy set theory Fuzzy sets Geotechnical Engineering & Applied Earth Sciences Hydroelectric power Hydrogeology Hydrology Hydrology. Hydrogeology Hydrology/Water Resources Intelligence Irrigation Linear programming Mathematical programming Neural networks Nonlinear programming Optimization Optimization algorithms Optimization techniques Reservoir system operation Reservoirs Resource management Set theory Simulation simulation models Simulation optimization modeling Software Studies surveys system optimization Systems analysis Water resources Water resources management Water shortages Water supply Evolutionary computation Fuzzy set theory Simulation optimization modeling Linear programming Reservoir system operation Nonlinear programming Neural networks Dynamic programming Simulation optimization modeling fuzzy sets simulation neural networks Evolutionary computation surveys reservoirs linear programming optimization water resource management Fuzzy set theory Dynamic programming Nonlinear programming Reservoir system operation methodology theory
ISSN:	0920-4741, 1573-1650
Online Access:	Get full text
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