TY - JOUR
TI - Inversion of particle size distribution by spectral extinction technique using the attractive and repulsive particle swarm optimization algorithm
AU - Qi Hong
AU - He Zhen-Zong
AU - Gong Shuai
AU - Ruan Li-Ming
JN - Thermal Science
PY - 2015
VL - 19
IS - 6
SP - 2151
EP - 2160
PT - Article
AB - The particle size distribution (PSD) plays an important role in environmental  pollution detection and human health protection, such as fog, haze and soot.  In this study, the Attractive and Repulsive Particle Swarm Optimization  (ARPSO) algorithm and the basic PSO were applied to retrieve the PSD. The  spectral extinction technique coupled with the Anomalous Diffraction  Approximation (ADA) and the Lambert-Beer Law were employed to investigate  the retrieval of the PSD. Three commonly used monomodal PSDs, i.e. the  Rosin-Rammer (R-R) distribution, the normal (N-N) distribution, the  logarithmic normal (L-N) distribution were studied in the dependent model.  Then, an optimal wavelengths selection algorithm was proposed. To study the  accuracy and robustness of the inverse results, some characteristic  parameters were employed. The research revealed that the ARPSO showed more  accurate and faster convergence rate than the basic PSO, even with random  measurement error. Moreover, the investigation also demonstrated that the  inverse results of four incident laser wavelengths showed more accurate and  robust than those of two wavelengths. The research also found that if  increasing the interval of the selected incident laser wavelengths, inverse  results would show more accurate, even in the presence of random error.