Glass optimization  for optical design: CMA-ES optimizer with integer handling

Tristan Marty; Sébastien Héron; Yann Semet; Anne Auger; Nikolaus Hansen

doi:10.1117/12.3016937

18 June 2024 Glass optimization for optical design: CMA-ES optimizer with integer handling

Tristan Marty, Sébastien Héron, Yann Semet, Anne Auger, Nikolaus Hansen

Proceedings Volume PC13023, Computational Optics 2024; PC1302304 (2024) https://doi.org/10.1117/12.3016937
Event: SPIE Optical Systems Design, 2024, Strasbourg, France

Abstract

Traditional optimization of lens material uses a two dimensional continuous space to describe a material along with a local optimizer like Levenberg-Marquardt. However other algorithms may be more suited for harder problems, in particular if the problem has several local minima, large number of variables and integer variables. The presented optimization method make use of evolution strategy with covariance matrix adaptation (CMA-ES). A modified version of this algorithm is used to handle the optimization of lens material as integer variables. Results will be focused on the performance obtained with complex camera lens composed of 31 diopters and optimized for 3 configurations corresponding to 3 different f number

Conference Presentation

Citation Download Citation

Tristan Marty, Sébastien Héron, Yann Semet, Anne Auger, and Nikolaus Hansen "Glass optimization for optical design: CMA-ES optimizer with integer handling", Proc. SPIE PC13023, Computational Optics 2024, PC1302304 (18 June 2024); https://doi.org/10.1117/12.3016937

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