Modeling the optical constants of solids using genetic algorithms with parameter space size adjustment

In this paper we propose parameter space size adjustment in genetic algorithms. The performance of these algorithms is compared with classical genetic algorithms in terms of solution quality, i.e. objective function or fitness final value and accuracy. The algorithms were tested on computer generated synthetic data closely resembling the optical constants of a metal. The algorithm with the best performance was used to determine the parameters of the model for optical constants of aluminum, gold and platinum.