Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/3060

Title: Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation
Authors: Deepti, Rani
Moreira, Madalena
Editors: Tsakiris, G.
Keywords: Simulation optimization modeling
Reservoir system operation
Linear programming
Dynamic programming
Nonlinear programming
Evolutionary computation
Fuzzy set theory
Neural networks
Issue Date: 2010
Publisher: European Water Resources Association (EWRA)
Citation: Deepti, R.; Moreira, M.M. Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation in the following paginated issue of Water Resources Management:Volume 24, Number 6, 1107-1138
Abstract: 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 this review article is to discuss simulation, optimization and combined simulation– optimization modeling approach and to provide an overview of their applications reported in literature. In addition to classical optimization techniques, application and scope of computational intelligence techniques, such as, evolutionary computa- tions, fuzzy set theory and artificial neural networks, in reservoir system operation studies are reviewed. Conclusions and suggestive remarks based on this survey are outlined, which could be helpful for future research and for system managers to decide appropriate methodology for application to their systems.
URI: http://www.springerlink.com/content/p61p535r2277r852/
http://hdl.handle.net/10174/3060
Type: article
Appears in Collections:ERU - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
MED - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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