Application of genetic algorithm in particle size analysis by multispectral extinction measurements--颗粒学报PARTICUOLOGY

Xu, F., Cai, X., Ren, K., & Gréhan, G. (2004). Application of genetic algorithm in particle size analysis by multispectral extinction measurements. China Particuology, 2(6), 235-240. https://doi.org/10.1016/S1672-2515(07)60066-9

Application of genetic algorithm in particle size analysis by multispectral extinction measurements

Feng Xu ^a *, Xiaoshu Cai ^a, Kuanfang Ren ^b, Gerard Gréhan ^b

a Institute of Particle and Two-Phase Flow Measurement Technology, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
b LESP, UMR 6614/CORIA CNRS/INSA et Université de Rouen, Site du Madrillet, Avenue de l'université, BP 12, 76801 Saint Etienne du Rouvray, France

10.1016/S1672-2515(07)60066-9

Volume 2, Issue 6, December 2004, Pages 235-240

Received 13 September 2004, Accepted 15 November 2004, Available online 27 November 2007.

E-mail: f3_xu@yahoo.com

Highlights

Abstract

Both dependent and independent model algorithms are designed with genetic algorithm (GA) to retrieve aerosol size data from multispectral extinction measurements. Compared with the traditional dependent model algorithm, e.g., simplex, GA can locate the global optimized solution instead of local ones. As an independent model algorithm, when combined with B-splines, GA gives consistent results with Chahine and Phillip-Twomey-NNLS algorithms. Numerical simulations also show that GA has high stability and good resistance to relatively higher error levels. For a population size of 50 in the present paper, the feasible ranges for genetic operators pc and pm are found to be [0.01, 0.5] and [0.01, 0.15], respectively, and the generation number Gen_Max should be larger than 250.

Graphical abstract

Keywords

particle sizing; multispectral extinction; genetic algorithm; inversion

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