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《Journal of Chengdu University of Information Technology》 2009-02
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Source apportionment of atmospheric particulates based on real-coded genetic algorithm

LIU Zhi-yong,DING Heng-kang,WU Min(Chengdu University of Information Technology,Chengdu 610225,China)  
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.
【Fund】: 国家自然科学基金资助项目(50679047)
【CateGory Index】: X513
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