基于最优保留策略遗传算法的玉米小麦优化灌溉模型研究

在综合考虑灌溉水量、作物水分需求、作物种植结构、水分生产函数、降雨量、土壤水分平衡、缺水敏感指数、粮食市场价格、农田灌溉用水价格、最低产量需求和灌溉成本等因素的基础上，建立了适合中国国情的基于灌水收益最大的多作物多约束非线性优化灌溉模型，同时应用遗传算法的搜寻功能，对模型的实数编码解空间进行搜索。求解结果显示该模型很好地解决了玉米和小麦联合种植的优化灌溉问题，遗传算法在求解该模型中显示出了较好的搜寻能力，能在很短时间内搜寻到模型的最优解。

Multi-crop optimization irrigation model by genetic algorithms of best saving tactics

In this article, many factors about irrigation model were considered, including irrigation water volume, water demand of the crop, planting structure production function of irrigation water, rainfall, soil water balance, the sensitive index of the water depletion to production at different growth stages of crops, the grain market price, irrigation water price, minimum yield, irrigation cost, etc. Then a multi-crop, multi-constraint and non-linear optimization irrigation model based on the maximal profit to irrigation water volume was set up, which adapts to Chinese national conditions, and the real number encoding space of the model was searched by the strong searching ability of genetic algorithm. The results show that this model can solve the optimization irrigation problem of multi-crops, and genetic algorithm has perfect searching function, and can find the optimal solution of the model for a very short time.