Optimization of optical multilayer based on genetic algorithm and nonlinear least square method

Zhigang Fan; Hongbing Li; Aihong Zhang

doi:10.1117/12.471190

20 September 2002 Optimization of Optical Multilayer Based on Genetic Algorithm and Nonlinear Least Square Method

Zhigang Fan, Hongbing Li, Aihong Zhang

Proceedings Volume 4927, Optical Design and Testing; (2002) https://doi.org/10.1117/12.471190
Event: Photonics Asia, 2002, Shanghai, China

Abstract

Study on the combination of different optimal algorithms to improve the performance of the algorithm is crucial to design optical multiplayer. A method based on GA (Genetic Algorithm) and NLSM (nonlinear least square method) is presented in this paper. GA is used to optimize the refractive index of the optical multilayer to get the original structure parameters. Then the NLSM is used to optimize the thickness of the optical multilayer based on the previous result. The algorithm model is explained in detail and the optimization design examples prove that the result is better. The results also indicate that the method is simple, effective and general for the optical multilayer design.

Citation Download Citation

Zhigang Fan, Hongbing Li, and Aihong Zhang "Optimization of Optical Multilayer Based on Genetic Algorithm and Nonlinear Least Square Method", Proc. SPIE 4927, Optical Design and Testing, (20 September 2002); https://doi.org/10.1117/12.471190

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