A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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. (author) / Peralta, R. C. (author)
World Water and Environmental Resources Congress 2004 ; 2004 ; Salt Lake City, Utah, United States
2004-06-25
Conference paper
Electronic Resource
English
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