Conjunctive management of water resources involves coordinating use of surface water and groundwater resources. Very few\r\nsimulation/optimization (S-O) models for stream-aquifer system management have included detailed interactions between\r\ngroundwater, streams, and reservoir storage. This paper presents an S-O model doing that via artificial neural network simulators\r\nand genetic algorithm optimizer for multiobjective conjunctive water use problems. The model simultaneously addresses all\r\nsignificant flows including reservoir-stream-diversion-aquifer interactions in a more detailed manner than previous models. The\r\nmodel simultaneously maximizes total water provided and hydropower production. A penalty function implicitly poses constraints\r\non state variables. The model effectively finds feasible optimal solutions and the Pareto optimum. Illustrated is application for\r\nplanning water resource and minihydropower system development.
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