遗传算法双层次优化模型在精细灌溉决策中的应用

精细灌溉决策支持系统采用基于遗传算法的双层次优化模型,第1层实现单一作物在不同生长期内的配水优化,第2层实现多种作物间的配水优化,并与专家系统相结合,有效的避免了遗传算法在解决局部搜索问题上的局限性,采用MapInfo作为人机交互界面,实现了决策的可视性和系统的易操作性。该决策支持系统在运行结构上分为灌区数据采集模块、灌区信息管理模块、作物配水模拟模块、遗传算法优化模块以及灌区信息显示模块。

Application and Research on Genetic Algorithm with Two Layers optimize Pattern in the Precision Water-saving Irrigation Decision

In view of present administration situation of irrigated areas in our country, develop a precision and intelligent irrigation decision support system (DSS) with simple, convenient and easy to apply is indispensable. Based on genetic algorithm (GA) with two layers, the optimize pattern was adopted by the system. The first layer is to achieve the optimization of water allocation of the unitary crop in the different growing periods. The second layer is to achieve the optimization of water allocation of many kinds of crops and it was combined with the expert system. This composition effectively averted the limitations of GA when it was used to resolve the problems of part searching. MapInfo was adopted in the system as the communicate interface of user and PC and it made the decision of strategic importance easy to see and the system easy to operate. In running structure, the DSS consisted of five modules: the data acquisition module, the information management module, the simulation module of crop water allocation, the optimize module with GA and the display module of irrigated areas information.