| Issue |
EPJ Web Conf.
Volume 335, 2025
EOS Annual Meeting (EOSAM 2025)
|
|
|---|---|---|
| Article Number | 02008 | |
| Number of page(s) | 2 | |
| Section | Topical Meeting - Adaptive and Freeform Optics | |
| DOI | https://doi.org/10.1051/epjconf/202533502008 | |
| Published online | 22 September 2025 | |
https://doi.org/10.1051/epjconf/202533502008
Constrained optimization of a zoom lens with CMA-ES algorithm
1 Thales Research and Technology, 91120 Palaiseau, France
2 Inria and École Polytechnique, 91120 Palaiseau, France
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 22 September 2025
Abstract
In the present paper we investigate how optimization algorithm can be tailored to improve the lens design process. We replaced gradient-based optimization methods by the Covariance Matrix Adaptation Evolution Strategy (CMA-ES). This stochastic algorithm is considered more robust and is well suited to avoid local optima often found in optical design. In addition, the algorithm is paired with an augmented Lagrangian method to incorporate constraints handling inside the computation framework. Performances are illustrated on a photographic zoom lens.
© The Authors, published by EDP Sciences, 2025
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