微灌坡地双向毛管最佳支管位置遗传算法优化设计

在分析微灌坡地双向毛管水力特性的基础上，提出一种基于遗传算法的双向毛管最佳支管位置的优化设计方法，建立了数学模型，给出了优化算法，编制了优化设计程序。该模型与算法能确定最佳支管位置和毛管进口压力，计算出毛管上每个灌水器的压力、流量及特征值，使双向毛管上的平均灌水器流量等于灌水器设计流量，保证最大灌水均匀度。研究结果表明，该模型与算法求解速度快、精度较高、可靠性强。

Optimal design for the best submain position of micro-irrigation on slope with paired laterals by genetic algorithms

Based on the analysis of hydraulic characteristics of micro-irrigation on slope with paired laterals, an optimum design method for the best submain position of paired laterals based genetic algorithms was put forward. The mathematic model was constructed, optimum arithmetic was given and computer program was also worked out. The best submain position and inlet pressure of paired laterals were ascertained. And the pressure, discharge and characteristic value of each emitter along the lateral were also figured out. Average emitter discharge of the paired lateral was equal to the design discharge of emitter, which ensured the maximal water application uniformity. Results indicate that the model and algorithms will get a solution quickly with higher precision and better reliability.