Optimization design of drip irrigation network based on Jaya algorithm
Aiming at the problems such as many parameters,complex process and large calculation volume existed in current drip irrigation network design,Jaya algorithm and the optimization method of the lowest annual cost per unit area are adopted to investigate the factors affecting the project cost including the depreciation cost of equipment and pipeline as well as the operation and management cost of the irrigation area.A mathematical model for the optimal design of drip irrigation network with constraints of pipe diameter,flow rate and pipe pressure is established.Two drip irrigation network systems in a large irrigation area in Xinjiang are taken as study examples,and the pipe diameter of the network is optimized based on the Jaya algorithm and the genetic algorithm.The optimization programs of the two algorithms are run independently for 50 times,and the relative deviation between the optimization results of optimization and the most optimal result is measured,and the optimization results of the two algorithms are compared.The optimization results of the two algorithms are compared and analyzed.The results show that:The optimal annual costs per unit area of the two systems based on Jaya algorithm are 710.53 and 791.62 Yuan/hm2,which are 16.59％and 21.09％lower than those of the original engineering program,and the investment saving effect is obvious.The relative deviation between the optimization result based on Jaya algorithm and the optimal result is not more than 10％indicating that the algorithm has stable convergence performance and meets the requirements of actual engineering design.The Jaya algorithm can eliminate the process of adjusting the parameters of the algorithm and its optimization ability is comparable to that of the genetic algorithm.In conclusion,the optimization design of drip irrigation network based on Jaya algorithm is superior in terms of cost saving,algorithm stability and computational accuracy,and can be used as an effective method for single-objective optimization design of drip irrigation network.
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