| 基于实数编码遗传算法的大气颗粒物源解析 |
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| 引用本文： | 刘智勇,丁恒康,邬敏.基于实数编码遗传算法的大气颗粒物源解析[J].成都信息工程学院学报,2009,24(2):173-176. |
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| 作者姓名： | 刘智勇 丁恒康 邬敏 |
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| 作者单位： | 成都信息工程学院,四川,成都,610225 |
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| 摘 要： | 实数编码遗传算法(RCGA)是在二进制编码遗传算法的基础上提出来的,它具有精度高、执行效率快等优点,非常适用于模型参数寻优.在采用化学质量平衡法(CMB)建立了源解析方程组的基础上,应用RCGA对方程组进行参数寻优,得到各污染源对大气颗粒物的优化贡献率.RCGA法与其它方法相比,解析结果具有更高准确性.
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| 关 键 词： | 实数编码遗传算法 参数优化 大气颗粒物 源解析 |
Source apportionment of atmospheric particulates based on real-coded genetic algorithm |
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| LIU Zhi-yong,DING Heng-kang,WU Min.Source apportionment of atmospheric particulates based on real-coded genetic algorithm[J].Journal of Chengdu University of Information Technology,2009,24(2):173-176. |
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| Authors: | LIU Zhi-yong DING Heng-kang WU Min |
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| Institution: | LIU Zhi-yong,DING Heng-kang,WU Min(Chengdu University of Information Technology,Chengdu 610225,China) |
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| Abstract: | The real-coded genetic algorithm is based on the theory of the binary-coded genetic algorithm which has advantages such as high-precision and high-performance and is applicable to the value optimization.Applying RCGA to optimize the parameters in the equation sets constructed by the chemical mass balance model the optimal contribution rates of the atmospheric particulates of each pollution source can be obtained.The calculated results have higher accuracy than that of other ways. |
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| Keywords: | real-coded genetic algorithm parameter optimization atmospheric particulates source apportionment |
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