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Discrete-Time Optimal Control for Water Resources Engineering and Management
Rapid population growth and a rising public awareness concerning environmental issues over the last few decades have caused a demand for improved performance in water resources management. These demands will likely grow and evolve into increasingly severe constraints for managers throughout the 21st century. Unfortunately, decision makers will be less able to rely on previous experiences in adapting to these new constraints. Research efforts have demonstrated that optimization can be a valuable component of improving performance, but it has not been widely accepted in practice. This paper explains the foreseen evolution of optimization as we progress into the next century and discusses methods to overcome the apparent gap between theoretical developments in optimization and implementation for solving real problems. These methods are based on encouraging transfer of a combined optimization-simulation technique into practice, providing improved graphical user interfaces, and improving the relationship between model developers and key decision-makers through interactive communications
Discrete-Time Optimal Control for Water Resources Engineering and Management
Rapid population growth and a rising public awareness concerning environmental issues over the last few decades have caused a demand for improved performance in water resources management. These demands will likely grow and evolve into increasingly severe constraints for managers throughout the 21st century. Unfortunately, decision makers will be less able to rely on previous experiences in adapting to these new constraints. Research efforts have demonstrated that optimization can be a valuable component of improving performance, but it has not been widely accepted in practice. This paper explains the foreseen evolution of optimization as we progress into the next century and discusses methods to overcome the apparent gap between theoretical developments in optimization and implementation for solving real problems. These methods are based on encouraging transfer of a combined optimization-simulation technique into practice, providing improved graphical user interfaces, and improving the relationship between model developers and key decision-makers through interactive communications
Discrete-Time Optimal Control for Water Resources Engineering and Management
Nicklow, John W. (author)
Water International ; 25 ; 89-95
2000-03-01
7 pages
Article (Journal)
Electronic Resource
Unknown
Tools and Data Issues - Discrete-Time Optimal Control for Water Resources Engineering and Management
| Online Contents | 2000
| DOAJ | 2020
| UB Braunschweig | 2009
| UB Braunschweig | 2005