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基于实数编码遗传算法的大气颗粒物源解析
Source apportionment of atmospheric particulates based on real-coded genetic algorithm
【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。
【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.
【关键词】 实数编码遗传算法;
参数优化;
大气颗粒物;
源解析;
【Key words】 real-coded genetic algorithm; parameter optimization; atmospheric particulates; source apportionment;
【Key words】 real-coded genetic algorithm; parameter optimization; atmospheric particulates; source apportionment;
【基金】 国家自然科学基金资助项目(50679047)
- 【文献出处】 成都信息工程学院学报 ,Journal of Chengdu University of Information Technology , 编辑部邮箱 ,2009年02期
- 【分类号】X513
- 【被引频次】2
- 【下载频次】264