Optimal Economic Allocation of Water Using EA and ICA Evolutionary Algorithms

In arid and semi-arid regions, like Iran, water is one of the main factors limiting economic development. In the present study, a new high-performance method was used for optimal water allocation in the agricultural sector during the 2002 to 2016 years. Election Algorithm is an iterative population based algorithm, which works with a set of solutions known as population. The results of this method were compared with the results of Imperialist Competitive Algorithm (ICA). The objective function was determined for each product in the agricultural sector as well as product performance, each product benefits and cultivated area of the demand function, then maximization of the objective function and optimal water resources allocation were performed using EA and ICA algorithms. The results of the application of the EA and ICA algorithms to the optimal water allocation problem, showed that in this section, higher benefits could be obtained through economic policies as well as changing the cultivation pattern. Generally, in the case of Moghan plain can be expressed by applying a coefficient of 0.9, 135 Billion Rials, that is, about 40% of the optimal water resources allocation benefits improving between the agriculture sectors compared to the current situation.