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Keywords = 2D mutation-based elitist genetic algorithm

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11 pages, 6146 KB  
Article
2D Mutation-Based Elitist Genetic Algorithm for Optimal Design of Transmissive Linear-to-Circular Polarization Conversion Metasurfaces
by Jiao Wang, Wanguang Xiong, Hongkai Zhou, Chao Xu and Yannan Jiang
Appl. Sci. 2025, 15(20), 11265; https://doi.org/10.3390/app152011265 - 21 Oct 2025
Cited by 1 | Viewed by 726
Abstract
Although the elitist genetic algorithm (EGA) is an approach for the optimal design of pixelated metasurfaces, it is necessary to convert a two-dimensional (2D) metasurface to a one-dimensional array. This ignores the effects of the mutation on neighboring data in 2D metasurfaces, and [...] Read more.
Although the elitist genetic algorithm (EGA) is an approach for the optimal design of pixelated metasurfaces, it is necessary to convert a two-dimensional (2D) metasurface to a one-dimensional array. This ignores the effects of the mutation on neighboring data in 2D metasurfaces, and hinders the rapid convergence of the algorithms. Therefore, we propose the 2D mutation-based EGA (2DM-EGA) to optimally design the linear-to-circular (LTC) polarization conversion metasurface (PCM). Compared with EGA, 2DM-EGA can significantly improve the convergence rate. Furthermore, combined with the proposed intuitive reward-based fitness function and circular polarization discrimination pertaining to an ellipticity angle β, 2DM-EGA, programmed in Python (2023 version), is used to accomplish optimal targets. Finally, the simulated operating band of the optimized metasurface varies from 8.16 GHz to 11.5 GHz with a reduced ellipticity angle β/π ≥ 0.15 and a relative bandwidth of 33.5%, which suggests that the optimized metasurface realizes the broadband LTC polarization conversion. The measured results are in excellent accord with the simulations validating 2DM-EGA for the optimal design of transmission-type wideband LTC PCMs. Additionally, the physical mechanism of the design is expounded. Full article
(This article belongs to the Section Electrical, Electronics and Communications Engineering)
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