| 基于RAGA-DP的饲草料作物非充分灌溉制度优化模型 |
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| 引用本文： | 郑和祥,史海滨,柴建华,傅卫平.基于RAGA-DP的饲草料作物非充分灌溉制度优化模型[J].农业工程学报,2007,23(11):65-70. |
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| 作者姓名： | 郑和祥 史海滨 柴建华 傅卫平 |
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| 作者单位： | 1. 内蒙古农业大学水利与土木建筑工程学院,呼和浩特,010018
2. 内蒙古水利科学研究院,呼和浩特,010020 |
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| 基金项目： | 内蒙古自治区科技支撑项目 |
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| 摘 要： | 中国北方牧区水资源极其匮乏,灌溉饲草料基地优化配水时,通过对非充分灌溉条件下饲草料作物进行灌溉制度优化可以有效地提高水分利用率及作物产量。该文采用基于实数编码的加速遗传算法（RAGA）与多维动态规划法（DP）相结合,建立了遗传动态规划（RAGA-DP）模型,对内蒙古锡林郭勒典型草原区灌溉饲草料地非充分灌溉条件下青贮玉米、披碱草和苜蓿进行了灌溉制度优化,试验验证结果较好,有效地解决了有限水量条件下不同生育期进行优化配水的问题,并通过相对产量与供水量、水分生产率函数和边际产量的关系得到了3种作物的适宜供水量范围。该模型解决了多维动态规划法在作物非充分灌溉条件下灌溉制度优化过程中的早熟现象及易陷入局部最优而难于求得真正最优解的问题。
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| 关 键 词： | 动态规划 遗传算法 非充分灌溉 灌溉制度 饲草料作物 |
| 文章编号： | 1002-6819（2007）11-0065-06 |
| 收稿时间： | 2006-10-18 |
| 修稿时间： | 2007-06-09 |
Optimal irrigation schedule model of forage crop by RAGA-DP under deficit irrigation |
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| Zheng Hexiang,Shi Haibin,Chai Jianhua and Fu Weiping.Optimal irrigation schedule model of forage crop by RAGA-DP under deficit irrigation[J].Transactions of the Chinese Society of Agricultural Engineering,2007,23(11):65-70. |
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| Authors: | Zheng Hexiang Shi Haibin Chai Jianhua and Fu Weiping |
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| Institution: | College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Huhhot 010018, China;College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Huhhot 010018, China;Hydraulic Conservancy Science Institute in Inner Mongolia, Huhhot 010020, China;Hydraulic Conservancy Science Institute in Inner Mongolia, Huhhot 010020, China |
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| Abstract: | The water resources is very short in north of China, the water utilization ratio and crops yield are improved effectively by optimal irrigation schedule of forage crop in deficit irrigation. The RAGA-DP model was established by combining the Real coding based Accelatating Genetic Algorithm(RAGA) with Multi-Dimensional Dynamic Planning(DP), and with which irrigation schedule of silage maize, elymus dahuricus and alfalfa were optimized under deficit irrigation in typical grassland in Xilinguole of Inner Mongolia. The results were preferably by test validating. The problem of water resources distribution at different growth stages were availably solved under the limited water condition and the optimum water supply quantity of three crops were obtained through the relationships between relative yield and supply water amount, between water production function and marginal yield. The model solves the prematurity phenomena and the problem that get into a partial optimization easily but it is difficult to obtain the global optimum value when DP are applyed for optimizing irrigation schedule under the condition of insufficient irrigation. |
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| Keywords: | dynamic programming genetic algorithm deficit irrigation irrigation schedule forage crop |
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