A stochastic inverse technique based on a genetic algorithm (GA) to invert particle-size distribution from angular light-scattering data is developed. This inverse technique is independent of any given <i>a priori</i> information of particle-size distribution. Numerical tests show that this technique can be successfully applied to inverse problems with high stability in the presence of random noise and low susceptibility to the shape of distributions. It has also been shown that the GA-based inverse technique is more efficient in use of computing time than the inverse Monte Carlo method recently developed by Ligon <i>et al</i>. [Appl. Opt. <b>35,</b> 4297 (1996)].
© 1999 Optical Society of America
(000.4430) General : Numerical approximation and analysis
(000.5490) General : Probability theory, stochastic processes, and statistics
(290.3200) Scattering : Inverse scattering
(290.4020) Scattering : Mie theory
(290.5850) Scattering : Scattering, particles
Mao Ye, Shimin Wang, Yong Lu, Tao Hu, Zhen Zhu, and Yiqian Xu, "Inversion of Particle-Size Distribution from Angular Light-Scattering Data with Genetic Algorithms," Appl. Opt. 38, 2677-2685 (1999)