Abstract
The ant colony optimization (ACO) 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 SB distribution. The retrieval results show that the ACO algorithm has high feasibility and
reliability, thus providing a new method for the retrieval of PSD.
© 2013 Chinese Optics Letters
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