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Multi-Objective Conjunctive Use Optimization
This paper presents a simulation/optimization model based on artificial neural networks and genetic algorithms for solving multi-objective conjunctive water use problems. The model simulates and optimizes water flows in a hydraulically connected reservoir-stream-aquifer system. It is a powerful tool to help water managers and authorities in developing conjunctive water management strategies and evaluating tradeoffs between conflicting goals.
Multi-Objective Conjunctive Use Optimization
This paper presents a simulation/optimization model based on artificial neural networks and genetic algorithms for solving multi-objective conjunctive water use problems. The model simulates and optimizes water flows in a hydraulically connected reservoir-stream-aquifer system. It is a powerful tool to help water managers and authorities in developing conjunctive water management strategies and evaluating tradeoffs between conflicting goals.
Multi-Objective Conjunctive Use Optimization
Fayad, H. C. (Autor:in) / Peralta, R. C. (Autor:in)
World Water and Environmental Resources Congress 2004 ; 2004 ; Salt Lake City, Utah, United States
25.06.2004
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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