Optimal Programming for Delivery and Distribution of Water Irrigation Network Using Evolutionary Algorithms (the case study: the Network Irrigation at Downstream of the Jiroft dam)

Planning for optimal operation in irrigation network is an efficient solution in water saving, increasing in cultivation and improving agriculture performance. Problem of water delivery scheduling in irrigation network is a multi-objective, multi-variable, and multi-constraint problem. Solving such problem needs powerful optimization methods. Evolutionary algorithms are major group of search algorithms that are used for finding a suitable answer using current evolutionary rules in nature. In this research the provided delivery and distribution program in irrigation network is optimized using Imperial Comparative Algorithms (ICA) and PSO and are compared with genetic algorithm results. In this research the delivery and distribution program in distribution channel branches are provided so that the various objects such as decreasing in distributor channel capacity and decreasing in time needed for complete the irrigation program optimize as a single and two objectives. In this program, first branch numbers, upper and lower limit of delivery discharge to per branch and branch coverage, gross irrigation requirement, irrigation interval and block numbers as input are defined to the model. By running the model, the best intermittent of branches in per block, minimum of distributer channel capacity and minimum irrigation duration in optimum conditions define to the model as outputs. To control and considering of developed program, the optimum delivery program in downstream irrigation network of Jiroft diversion dam using this model is provided. The results show that in two-objective optimum status for irrigation supply of the network, Imperialist Competitive Algorithm performance is better than the other two algorithms so that the maximum discharge is 1381 cubic meter per second and maximum irrigation duration is 236 hours.