Application of Imperialist Competitive Algorithm (ICA) For Optimal Allocation of Reservoir Water in Golestan Dam

Regarding climate change, and consequently the decrease in the Gergranod River catchment area, as well as the sharp decrease in the volume of water stored behind the Golestan dam in recent years, a review of the water allocation problem is necessary. Therefore, in this research, the optimal values of water harvesting from the Golestan dam reservoir are calculated using the colonial competition algorithm (ICA), which is one of the interconnected algorithms based on socio-political evolution. In this study, the proper parameters of the colonial competition algorithm were calculated with try and error, and then in five times the implementation of this algorithm in the first run in the 1240 repetition of 2,363.2 million cubic meters for the target function, in the second run in repeat 1256, the value of the target function 4947/2 Million cubic meters, in the third run in Repetition 1271 the value of the objective function was 1,971.1 million cubic meters, the 1300 repetition in the fourth run was 304.1 million cubic meters for the target function, and in the fifth implementation and repeat 1450, the value of the target function was 1,2473.1 million cubic meters Come. The comparison between the values of the objective function indicates that with increasing the number of repetitions, the value of the objective function is reduced. The results indicate that this algorithm is good. The optimal release values obtained from the algorithm have always fluctuated during the statistical period, so that in the first three years of the increasing trend, the fourth and fifth declines, the sixth and seventh increases, the eighth and ninth, and finally increased again in the tenth.