TY - JOUR
TI - Determination of aerosol particle size distribution by a novel artificial bee colony-differential evolution hybrid algorithm
AU - He Zhen-Zong
AU - Mao Jun-Kui
AU - Han Xing-Si
AU - Liu Zhao-Ying
JN - Thermal Science
PY - 2019
VL - 23
IS - 2
SP - 1161
EP - 1172
PT - Article
AB - The aerosol size distribution (ASD), a vitally important environmental  quality evaluation criterion, has a significant influence on radiative  transfer and meteorological phenomena. To measure the ASD effectively and  accurately, the light scattering measurement method combined with a novel  ABC-DE hybrid algorithm which was based on the Artificial Bee Colony (ABC)  algorithm and Differential Evolution (DE) algorithm, was proposed. First,  the retrieval accuracy and convergence properties of the ABC-DE algorithm  were compared with those of the ABC algorithm. The results revealed that the  ABC-DE algorithm could avoid the phenomenon of local optima and low  convergence accuracy which exited in ABC algorithm. Then, the parametric  estimation of two commonly used monomodal ASDs, i.e. the Gamma distribution  and the logarithmic normal (L-N) distribution were studied under different  random measurement errors. The investigation indicated that the retrieval  results using the ABC-DE showed better accuracy and robustness than those  using the ABC. Moreover, the retrieval parameters with better monodromy  characteristic would have better inverse accuracy. Finally, the actual  measured ASDs over Harbin China were also retrieved. All the results confirm  that the ABC-DE algorithm was an effective and reliable technique for  estimating the ASD.