大气颗粒物源解析的遗传算法模型的改进  

Improvement of Genetic Algorithm Model in Source Apportionment of Atmospheric Particulate

作　　者：鲁磊[1] 张卫东[2] 蒋昌潭[2] 赵琦[2] 

机构地区：[1]重庆大学城市建设与环境工程学院,重庆400044 [2]重庆市环境科学研究院,重庆400020

出　　处：《安徽农业科学》2007年第16期4823-4825,共3页Journal of Anhui Agricultural Sciences

摘　　要：运用MATLAB遗传算法和直接搜索工具箱改进了应用于大气颗粒物源解析的遗传算法模型。引入数据进行算法程序探讨,将模型计算结果用改进的二重源解析法进行了验证。结果显示,改进的遗传算法源解析模型对数据处理快捷、简便,在一定程度上能够解决严重共线性源类问题,解析结果真实可靠。The genetic algorithm model used in source apportionment of atmospheric particle was improved with the Genetic Algorithm and Direct Search Toolbox in MATLAB.The data were used to study algorithm procedures,and the calculating results were validated with the Improved Source Apportionment technique.The results showed that the improved genetic algorithm model used in source apportionment was quick and easy for data processing.And it could solve the problem of excessive source collinearity to a certain extent with its analytical results reliable.

关 键 词：源解析 源类共线性 遗传算法 

分 类 号：S11[农业科学—农业基础科学]