Two kind of light scattering measurement methods, i.e. the forward light
scattering measurement (FLSM) method and the angular light scattering
measurement (ALSM) method, are applied to reconstruct the geometrical
morphology of particle fractal aggregates. An improved Attractive and
Repulsive Particle Swarm Optimization (IARPSO) algorithm is applied to
reconstruct the geometrical structure of fractal aggregates. It has been
confirmed to show better convergence properties than the original Particle
Swarm Optimization (PSO) algorithm and the Attractive and Repulsive Particle
Swarm Optimization (ARPSO) algorithm. Compared with the FLSM method, the
ASLM method can obtain more accurate and robust results as the distribution
of the fitness function value obtained by the ALSM method is more
satisfactory. Meanwhile, the retrieval accuracy can be improved by
increasing the number of measurement angles or the interval between adjacent
measurement angles even when the random noises are added. All the
conclusions have important guiding significance for the further study of the
geometry reconstruction experiment of fractal aggregates.