基于遗传算法的微灌坡地双向毛管管径优化

微灌管网毛管的设计,直接影响到工程费用和灌水质量。提出了一种基于遗传算法的坡地双向毛管管径的优化方法,能获得毛管最优管径和灌水器平均流量、灌水均匀度等灌水质量控制指标,同时能确定毛管最佳分流点位置和毛管进口压力等运行控制参数。实例结果表明,模型与算法的求解时间为9s,计算精度达到0.001%,具有很好的通用性和实用性。

Optimization of Micro-irrigation Bidirectional Flow Laterals Diameter on Sloping Field Based on Genetic Algorithms

The design of micro-irrigation laterals affects the project cost and irrigated quality. This paper put forward a kind of optimization method based on genetic algorithms for bidirectional flow laterals diameter on sloping field. This method could get the optimal diameter and control criterion of irrigated quality such as average flow and uniformity. Meanwhile, the running control parameter such as the optimum crotched position and intake pressure of laterals could be determined. The example's result shows, model and algorithms solve time as 9 s, computing accuraly to attain 0.001%, having good and in general use and function.