Sizing Nanoparticles from Dynamic Light Scattering Measurements: II. Evaluation of Particle Swarm Optimization Strategies

BERMEO, L.A.; CLEMENTI, L.A.; CAICEDO, E.F.; VEGA, J.R.; MUÑOZ, M.A.

Joao Pessoa

Simposio; Inverse Problem, Design and Optimization Symposium (IPDO 2010); 2010

A new method is proposed for estimating the particle size distribution (PSD) of a colloidal system from multiangle dynamic light scattering (MDLS) measurement. The proposed method utilizes a particle swarm optimization algorithm to solve the involved non-linear ill-conditioned inverse problem that consists in estimating the PSD on the basis of average diameters derived from the measured autocorrelation functions. Several kinds of PSOs were implemented based on the simulation of simple social models for the movement of fish schools and bird flocks, and their performance evaluated. The results showed that PSOs could successfully estimate the PSD with low computing times.