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Iran is considered an arid country with rainfall less than a third of the average rainfall in the world. In these areas, one of the strategies to cope with water shortages and drought is to use optimal operation models. Several studies have been conducted in this area and a variety of models have been suggested in order to optimization and simulation of operation of the reservoirs. The latest method used in this field, based on Pareto Front is multi-objective genetic algorithm NSGA-II. In this paper, NSGA-II multi-objective genetic algorithm was used to solve the proposed multi-objective optimization model for two-reservoir system of Ostoor and Pirtaghi dams in Ghezel Ozan catchment. The aims of the study are to maximize revenue from the sale of energy produced by power plants and also flood control storage volume of the reservoir under study in wet months in order to control probable flood. The system consists of two consecutive reservoirs on Ghezel Ozan River which in this model, based on a certain amount of water released from the plant during the project (decision variables), the most appropriate model will be obtained for reservoir operation of dams, storage volume of the reservoir for flood control, The optimal allocation to power plants and finally revenue from the sale of energy produced. The final results of the problem have provided several optimal ways which are not superior to each other (set of Pareto optimal solutions). The decision maker is able to find the best answer by considering the situations of the present problem and by applying different methods of deciding

OPTIMAL OPERATION OF MULTIPLE AND MULTI PURPOSE RESERVOIRS SYSTEMS USING NON-DOMINATED SORTING GENETIC ALGORITHM (NSGA-II)