No abstract

Simulated annealing algorithm is a mathematic model, which imitates the physical process of annealing. And optical thin film is widely used in many industry. Its design is difficult and can be regarded as an optimization problem. In this paper, we use the simulated annealing algorithm to design an edge filter, which is composed of 20 dielectric thin film layers with TiO2 and SiO2. The simulated annealing algorithm is a very robust algorithm for optical thin film design.

After the analysis of the theory of optical thin film optimization design, it is proposed that multi-objective optimization with mixed discrete variable is the essential mathematical model, which can reflect the physical essence of optical thin film design. The optimization algorithm for single objective problem that have been widely used in the fields of optical thin film is only a simplification. Based on this new consideration, and combined with the status of multi-objective optimization research, an immune optimization algorithm for multi-objective optimization problem is adopted to design optical thin film. According to the results of experiments, the idea of applying multi-objective optimization approach to design optical thin film can be achieved in theory and have a bright future.

The energy distribution of solar radiation and the demand of the residential building environment for lighting and temperature are contradictory to some extent. In order to better meet people's life needs, better control of sun's light and heat is needed to solve this problem. We use the infrared cutoff filter technology in optical coating to allow visible light to enter residential buildings as much as possible, while minimizing the access of near-infrared light 1 .