灌溉渠道轮灌配水优化模型与遗传算法求解

灌溉过程中的渠系配水实质上是配水渠道流量的时空分配问题。传统的人工调度难以做到统筹优化，且易导致大量的渠道弃水。因此，渠道优化配水技术是灌区现代化管理的重要内容之一，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。该文改进了“定流量，变历时”渠道运行方式的轮灌配水优化模型，应用遗传算法进行了配水渠道流量优化的0—1整数规划模型求解。遗传算法采用了锦标赛选择，算术交叉和交换变异算子，应用Matlab6.0编制了相应的求解程序，求解结果表明，该结果优于常规方法求解结果，说明该算法设计是可行的。

Optimization model of rotation irrigation channel distribution and solution with genetic algorithm

Irrigation canal water distribution is a problem of space-time canal discharge distribution in irrigation processing. Conventional artificial methods are difficult to optimize the canal discharge distribution, and they easily lead to a great deal abandon water. So, the optimization of canal discharge is an important part of irrigation district modern management, it also has an important role in improving the level of irrigation district management and water saving. In this paper, the authors modify the optimization model of rotation irrigation branch canal distribution in 0-1 linear integral programming. Using genetic algorithm, the model is solved. The genetic arithmetic operators such as tournament selection and arithmetic crossover and exchange mutation are used . Based on these operators, a Matlab(6.0) program is developed to solve constrained 0-1 linear integral programming. The optimization results show that the results are better than conventional models, it indicate that the model and it's algorithm are feasible.