A robust evolutionary algorithm for optical thin-film designs

Abstract

This paper presents an evolutionary approach, called the family competition evolutionary algorithm (FCEA), for optical thin film design. The proposed approach, based on family competition and multiple adaptive rules, integrates decreasing-based Gaussian mutation and two self-adaptive mutations to balance the exploitation and exploration. It is implemented and applied to two coating systems. Numerical results indicate that the proposed approach is very robust for optical coatings.