| 基于遗传算法的非充分灌溉下最优灌溉制度设计 |
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| 引用本文： | 宋朝红,崔远来,罗强.基于遗传算法的非充分灌溉下最优灌溉制度设计[J].灌溉排水学报,2005,24(6):45-48. |
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| 作者姓名： | 宋朝红 崔远来 罗强 |
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| 作者单位： | 华中科技大学,水电与数字化工程学院,湖北,武汉,430074;武汉大学,水资源与水电工程科学国家重点实验室,湖北,武汉,430072 |
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| 基金项目： | 国家重点实验室资助项目(2003C001) |
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| 摘 要： | 建立了非充分灌溉条件下的作物最优灌溉制度的非线性规划模型。针对模型中目标函数高度非线性的特点,提出利用十进制编码的混合遗传算法来进行求解,并提出了有条件的随机生成的初始种群生成方式以及伪随机变异方式来处理线性约束条件的策略。实例研究表明算法以及约束的处理策略是可行的。
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| 关 键 词： | 非充分灌溉 遗传算法 最优灌溉制度 |
| 文章编号： | 1000-646X(2005)06-0045-04 |
| 修稿时间： | 2005年6月20日 |
Optimal Irrigation Schedule Design by Using Genetic Algorithm under Ueficit Irrigation |
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| SONG Chao-hong,CUI Yuan-lai,LUO Qiang.Optimal Irrigation Schedule Design by Using Genetic Algorithm under Ueficit Irrigation[J].Journal of Irrigation and Drainage,2005,24(6):45-48. |
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| Authors: | SONG Chao-hong CUI Yuan-lai LUO Qiang |
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| Institution: | SONG Chao-hong~1,CUI Yuan-lai~2,LUO Qiang~2 |
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| Abstract: | 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. |
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| Keywords: | deficit irrigation genetic algorithm optimal irrigation schedule |
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