摘要
灌溉优化模型旨在求解干渠各出水口运行时流量调度的最优组合方案,对于提高灌区灌溉管理技术水平和实施农业高效节水有着重要的意义。在“等流量、变历时”的轮灌分组的优化模型上,采用遗传算法进行了优化,选用了高斯适应度函数,并根据约束条件的特点,提出了二维编码并对选择、交叉和变异过程进行了改进,仿真结果表明该改进的遗传算法效果良好,说明该算法设计是可行的。
Irrigation optimization model is aimed to obtain optimal flow distribution scheme for each outlet in main channel, which is important for improving the irrigation management level and implementing water saving agriculture in irrigation district. The genetic algorithm（GA） with Gauss fitness function was adopted to solve the optimization model of rotation irrigation distribution, which was based on the rule of equal flow and various time, in this paper. According to the constraint condition of this model, the GA with two -dimensional encoding was put forward, and its selection, crossover and mutation operation was modified. The simulation results showed that the modified GA was feasible and effective.
出处
《节水灌溉》
北大核心
2006年第3期4-6,共3页
Water Saving Irrigation
关键词
优化配水
轮灌
二维编码
遗传算法
water distribution optimization
rotational irrigation
two-dimensional encoding
genetic algorithm
