基于混合蛙跳算法的灌溉制度寻优应用研究  

Study on Application of SFLA-based Irrigation Schedule Optimization

作　　者：康立军[1,2] 张仁陟[1] 吴丽丽[2] 

机构地区：[1]甘肃农业大学资源与环境学院,兰州730070 [2]甘肃农业大学信息科学技术学院,兰州730070

出　　处：《节水灌溉》2012年第5期73-75,共3页Water Saving Irrigation

基　　金：国家自然科学基金(61063028)

摘　　要：针对灌溉制度优化设计问题,以灌溉-产量灌溉制度模型为目标函数,随机生成灌溉制度,采用混合蛙跳算法对其进行优化,得到了最优灌溉制度。实例验证表明,混合蛙跳算法应用于灌溉制度寻优切实、可行,为灌溉制度寻优提供了一种新的方法。With regard to the optimization design of irrigation schedule,the model of irrigation schedule-yield was used as a target function to generate irrigation schedule randomly and the Shuffled Frog Leaping Algorithm（SFLA） was used to optimize the irrigation schedule.Case study demonstrated that SFLA was practical and feasible for the optimization of irrigation schedule.This provided a new method for the optimization of irrigation schedule.

关 键 词：蛙跳算法 灌溉制度 寻优 

分 类 号：S274.1[农业科学—农业水土工程]