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《Journal of Irrigation and Drainage》 2005-06
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Optimal Irrigation Schedule Design by Using Genetic Algorithm under Ueficit Irrigation

SONG Chao-hong~1,CUI Yuan-lai~2,LUO Qiang~2(1.College of Hydropower and Information Engineering,Huazhong University of Science and Technology,Wuhan 430074,China;2.State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan University,Wuhan 430072,China)  
A nonlinear programming model of optimal irrigation schedule under deficit irrigation is founded.For the reason of highly nonlinear objective function,a hybrid genetic algorithm based on float point code is introduced to solve the programming.Original population generated method and special designed genetic operator to deal with the linear constraints were also proposed.Case study showed that the algorithm and the handle strategy of constraints are feasible.
【Fund】: 国家重点实验室资助项目(2003C001)
【CateGory Index】: S274.1
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