Rule curves are necessary guides for long term reservoir operation. The
optimization techniques applied to search the optimal rule curves includes simulation, and genetic algorithms.Reservoir inflow is one of required data for operating reservoir. The
research developed genetic algorithm optimization tool connected with simulation model provided the optimal daily rule curves as considering the risk of reservoir operation.
Furthermore, the proposed model is applicable for multipurpose reservoir systems. A minimum average shortage was applied as the objective function of the search process. The limited
bound of searching is used as the conditional constraint to reduce the fluctuation of the obtained rule curve.
The developed GA model was applied to simulate the daily rule curves of the
Mosul regulating reservoir in Iraq inaddition to the rating curve of the
reservoir. The results showed that the pattern of the obtained rule curve and
rating curve coincides with the actual existing rule curves and the designed
rating curve for the reservoir