运用量子遗传算法反演雷暴云电荷结构的研究 |
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引用本文: | 张宇,陈加清,苏满堂,杨杰.运用量子遗传算法反演雷暴云电荷结构的研究[J].电子测试,2016(11). |
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作者姓名: | 张宇 陈加清 苏满堂 杨杰 |
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作者单位: | 解放军理工大学气象海洋学院,雷电防护与电子伪装实验室,南京,210000 |
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摘 要: | 本文采用量子遗传算法结合三圆盘模型对雷暴云电荷结构进行反演。结果表明:利用量子遗传算法可以很好地对雷暴云电荷结构以及大气电场仪和雷暴云的距离进行反演,在对电荷的反演中发现电荷结构的准确性在大气电场仪距离雷暴云5000-6000m时达到峰值,这种方法实施仅利用地面大气电场资料进行反演,相比于飞机穿云探测简单方便,利用量子遗传算法根据大气电场仪资料就可以对雷暴云电荷结构和距离进行比较准确的反演。
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关 键 词: | 雷暴云电荷结构 反问题 量子遗传算法 |
Research on the inversion of 3 dimension simulation of thundercloud based on quantum genetic algorithm |
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Abstract: | In this paper,the quantum genetic algorithm is used to inverse the structure of thundercloud charge with the Three-level electrostatic model of thunderstorm cell,and we simulate the charge structure of thunderstorm cloud to verify the quantum genetic algorithm based on Meso-NH model.The results show that:the use of quantum genetic algorithm can inverse the thundercloud charge structure and the distance between electric-field at ground and thundercloud efficiently,this method used only electric-field data,comparing to the plane through the cloud detection this method is simple and convenient. |
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Keywords: | thundercloud charge structure quantum genetic algorithm inversion |
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