S Sarani - Department of Civil Engineering, KN Toosi University of Technology, Tehran, Iran
A. B. Dariane - Associate Professor, Department of Civil Engineering, K. N. Toosi University of Tech., Tehran

Water resources optimization problems are usually complex and hard to solve using the ordinary optimization methods, or they are at least not economically efficient. In this paper, Cat Swarm Optimization strategy has been adopted to obtain the optimal solution of a reservoir operation problem. For this purpose data from a reservoir in Iran has been used to examine the performance of the model. The results are compared with those of other heuristic optimization algorithms. It shows that the CSO algorithm can obtain a near optimal solution with less computation time and therefore is a promising method in reservoir system applications.

Cat Swarm Optimization, Metaheuristic methods, Optimization, Reservoir operation