Optimized design for illusion device by genetic algorithm
Abstract The illusion device developed from the scattering cancellation employs very simple homogeneous and isotropic materials, but this device is only valid for electrically small objects. In this paper, we prove that the illusion device optimized by genetic algorithm can be applied to large-scale...
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2021
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oai:doaj.org-article:6936f529a14d479988f7f2db9ebafce72021-12-02T17:37:24ZOptimized design for illusion device by genetic algorithm10.1038/s41598-021-99055-92045-2322https://doaj.org/article/6936f529a14d479988f7f2db9ebafce72021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99055-9https://doaj.org/toc/2045-2322Abstract The illusion device developed from the scattering cancellation employs very simple homogeneous and isotropic materials, but this device is only valid for electrically small objects. In this paper, we prove that the illusion device optimized by genetic algorithm can be applied to large-scale occasions. For an electrically small target, an optimized core–shell illusion device can achieve better illusion effect than the analytical design based on the scattering cancellation. With the increase of the device size, the ability of the single-layered shell to manipulate the scattering is very limited. For a moderate-size target, two optimized multi-layered examples are presented: one is to make a dielectric cylinder appear as another dielectric target, and the other is to make a conducting cylinder behave like a double-negative-material target. The full-wave simulations are carried out to visualize the similar field distributions of the target and the optimized multi-layered design. This optimized design greatly widens the size application range of the illusion device and can also improve the illusion performance with simple material parameters.Zhenzhong YuZhong YangYan ZhangYizhi WangXingliu HuXiaomin TianNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021) |
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Medicine R Science Q Zhenzhong Yu Zhong Yang Yan Zhang Yizhi Wang Xingliu Hu Xiaomin Tian Optimized design for illusion device by genetic algorithm |
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Abstract The illusion device developed from the scattering cancellation employs very simple homogeneous and isotropic materials, but this device is only valid for electrically small objects. In this paper, we prove that the illusion device optimized by genetic algorithm can be applied to large-scale occasions. For an electrically small target, an optimized core–shell illusion device can achieve better illusion effect than the analytical design based on the scattering cancellation. With the increase of the device size, the ability of the single-layered shell to manipulate the scattering is very limited. For a moderate-size target, two optimized multi-layered examples are presented: one is to make a dielectric cylinder appear as another dielectric target, and the other is to make a conducting cylinder behave like a double-negative-material target. The full-wave simulations are carried out to visualize the similar field distributions of the target and the optimized multi-layered design. This optimized design greatly widens the size application range of the illusion device and can also improve the illusion performance with simple material parameters. |
format |
article |
author |
Zhenzhong Yu Zhong Yang Yan Zhang Yizhi Wang Xingliu Hu Xiaomin Tian |
author_facet |
Zhenzhong Yu Zhong Yang Yan Zhang Yizhi Wang Xingliu Hu Xiaomin Tian |
author_sort |
Zhenzhong Yu |
title |
Optimized design for illusion device by genetic algorithm |
title_short |
Optimized design for illusion device by genetic algorithm |
title_full |
Optimized design for illusion device by genetic algorithm |
title_fullStr |
Optimized design for illusion device by genetic algorithm |
title_full_unstemmed |
Optimized design for illusion device by genetic algorithm |
title_sort |
optimized design for illusion device by genetic algorithm |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/6936f529a14d479988f7f2db9ebafce7 |
work_keys_str_mv |
AT zhenzhongyu optimizeddesignforillusiondevicebygeneticalgorithm AT zhongyang optimizeddesignforillusiondevicebygeneticalgorithm AT yanzhang optimizeddesignforillusiondevicebygeneticalgorithm AT yizhiwang optimizeddesignforillusiondevicebygeneticalgorithm AT xingliuhu optimizeddesignforillusiondevicebygeneticalgorithm AT xiaomintian optimizeddesignforillusiondevicebygeneticalgorithm |
_version_ |
1718379887303065600 |