Optimal Programming for Delivery and Distribution of Water Using WOA and HSA algorithms(Case study: Jazmurian land irrigation sub-network (Dasht Jiroft) )

The issue of water delivery and distribution in the irrigation network is one of the important issues to realize the goals of the network and achieve the desired efficiency, and by affecting the size of the delivery structures, the capacity of the channels and the cost of construction, it causes the efficient design of the network. In addition, the poor performance of irrigation canals on the one hand and its effect on the reduction of agricultural water productivity on the other hand has necessitated the provision of effective planning for the optimal exploitation of canals. This type of issue is a multi-objective, multi-variable and multi-constraint optimization problem, and its solution requires powerful optimization methods such as evolutionary algorithms. In this research, two optimization models based on the HSA (Harmony Search Algorithm) and WOA (Whale Optimization Algorithm) algorithms are developed to provide the order and sequence of branches in irrigation canals in order to decreasing in main channel capacity and decreasing in irrigation time. For this purpose, first the number of branches, the maximum capacity of each channel, the area covered by each branch, the gross irrigation requirement, the irrigation cycle, and the number of blocks were introduced as inputs to the model. After implementing the model of the best turn of branches in each block, the minimum capacity of the distributor channel and the minimum irrigation time in optimal conditions were presented as outputs. In order to control and check the developed program, the optimal water delivery program in the irrigation sub-network of Jazmurian lands (Dasht Jiroft) was extracted using the above two models, and while matching with standard functions to check the accuracy of the algorithms, the HSA model was determined in each two-factor discharge and time has a better performance than the WOA model.