Retrieval of spherical particle size distribution using ant colony optimization algorithm

被引：28
|
作者：
Qi, Hong [1 ]
Zhang, Biao [1 ]
Ren, Yatao [1 ]
机构：
[1] Harbin Inst Technol, Sch Energy Sci & Engn, Harbin 150001, Peoples R China
来源：
CHINESE OPTICS LETTERS | 2013年 / 11卷 / 11期
基金：
中国国家自然科学基金;
关键词：
D O I：
10.3788/COL201311.112901
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
The ant colony optimization (AGO) algorithm based on the probability density function is applied for the retrieval of spherical particle size distribution (PSD). The spectral extinction data based on the Mie theory and the Lambert Beer Law served as input for estimating five commonly use monomodal PSDs, i.e., Rosin Rammer distribution, normal distribution, logarithmic normal distribution, modified beta distribution, and Johnson's S-B distribution. The retrieval results show that the AGO algorithm has high feasibility and reliability, thus providing a new method for the retrieval of PSD.
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收藏
页数：5
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