玉米灌溉模型及遗传算法的优化求解  

Study on Corn Irrigation Model and Optimal Solution to the Model by Genetic Algorithms

作　　者：张兵[1] 袁寿其[2] 李红[2] 成立[3] 蒋惠凤[4] 

机构地区：[1]常州工学院电子信息与电气工程学院 [2]江苏大学流体机械工程技术研究中心 [3]江苏大学电气信息工程学院 [4]江苏大学工商管理学院

出　　处：《农业机械学报》2006年第9期104-106,115,共4页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家"863"高技术研究发展计划资助项目(项目编号:2004AA2Z4010)

摘　　要：在综合考虑了灌溉水量、作物水分需求、水分生产函数、降雨量、土壤水分平衡、不同生育阶段缺水对产量的敏感指数、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,建立了基于灌水收益最大的多约束非线性灌溉模型,同时应用遗传算法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的优化灌溉问题,遗传算法能在很短时间内搜寻到模型的最优解。In this article, many factors are considered, including irrigation water volume, water demand of the crop, production function of the water, rainfall, hydrological balance of the soil, the sensitive index of the water depletion to output of grain in different stage of growth, market price of grain, irrigation water price, minimum output, irrigation cost, etc. Then a multi- constraints and non-linear optimization irrigation model based on the maximal profit to irrigation water value is studied, and the real number encoding of the model is searched for in solution space, using the strong searching function of genetic algorithm. The results showed that this model can solve the optimization irrigation problem of corn planted in summer, and genetic algorithm can find the optimal solution of the model within very short time.

关 键 词：玉米 灌溉模型 遗传算法 

分 类 号：S275[农业科学—农业水土工程]