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18 June 2024 Black box evolutionary optimization design of complex optical systems
Sébastien Héron, Laure Lee, Yann Semet, Rémi Barrère
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Proceedings Volume 12998, Optics, Photonics, and Digital Technologies for Imaging Applications VIII; 1299809 (2024) https://doi.org/10.1117/12.3022353
Event: SPIE Photonics Europe, 2024, Strasbourg, France
Abstract
Freeform optics bring new degrees of freedom to optical systems and require the abilities both to describe any surface (continuous or not) and to optimize their shape together with the geometry of the entire system. This increases the number of variables, and therefore the complexity of the fitness function to be minimized in order to obtain highest optical performance. Most proprietary algorithms from commercial solutions cannot handle more than tens of variables and/or noisy function landscape limiting the implementation of such free-form in optical systems. Here, CMA-ES algorithm is coupled to parallel computation of ray tracing simulations able to cover the high computational demand. The benefits of such state-of-the-art evolutionary optimization algorithms is a one-step convergence by exploring the entire landscape of solutions without the need of any starting optical architecture.
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Sébastien Héron, Laure Lee, Yann Semet, and Rémi Barrère "Black box evolutionary optimization design of complex optical systems", Proc. SPIE 12998, Optics, Photonics, and Digital Technologies for Imaging Applications VIII, 1299809 (18 June 2024); https://doi.org/10.1117/12.3022353
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KEYWORDS
Design
Evolutionary optimization
Freeform optics
Glasses
Imaging systems
Optical imaging
Optical surfaces
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