| 基于熵理论和遗传算法的作物灌溉决策的优化研究 |
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| 引用本文： | 曹然,王会英,郭微.基于熵理论和遗传算法的作物灌溉决策的优化研究[J].农机化研究,2011(9). |
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| 作者姓名： | 曹然 王会英 郭微 |
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| 作者单位： | 东北农业大学工程学院; |
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| 基金项目： | 黑龙江省青年科学基金项目(QC2009C87) |
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| 摘 要： | 为了优化作物灌溉的决策,在综合考虑了灌溉水量、作物水分需求、降雨量、土壤水分含量和作物不同生育阶段缺水对产量的敏感指数等因素的基础上,建立了基于熵理论和遗传算法的优化模型。通过实例试验,结果表明:提出的模型用于作物灌溉决策优化比基本遗传算法计算精度有了明显提高。
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| 关 键 词： | 熵 遗传算法 作物灌溉 Jensen模型 |
Research on Optimization of Crop Irrigation Decisions Based on Entropy Theory and Genetic Algorithm |
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| Cao Ran,Wang Huiying,Guo Wei.Research on Optimization of Crop Irrigation Decisions Based on Entropy Theory and Genetic Algorithm[J].Journal of Agricultural Mechanization Research,2011(9). |
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| Authors: | Cao Ran Wang Huiying Guo Wei |
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| Institution: | Cao Ran,Wang Huiying,Guo Wei (College of Engineering,Northeast Agricultural University,Harbin 150030,China) |
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| Abstract: | In this article,many factors are considered,including irrigation water volume,water demand of crop,rainfall,soil water content,the sensitive index of the water depletion to output of grain in different stage of growth and so on.Then a optimized model based on entropy theory and genetic algorithm is constructed.Case study show that the proposed model are superior to the simple genetic algorithm in optimization of crop irrigation decisions. |
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| Keywords: | entropy genetic algorithm crop irrigation Jensen model |
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