Title: Genetic algorithm enhanced cloaking design of silicon multi-layers in dielectric background

Authors: Zhenzhong Yu; Yizhi Wang; Xingliu Hu; Zhong Yang; Xiaomin Tian; Yan Zhang; Yan Shao; Shanshan Gu; Kang Liu

Addresses: College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China ' College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China ' College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China ' College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China ' College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China ' College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China ' College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China ' College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China ' College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China

Abstract: The optimal cloaking design for the cylindrical structure in the dielectric medium is proposed. For an electrically small conducting cylinder, a free-space shell can be used to suppress the main scattering. With the introduction of magnetic material in the shell, one can further greatly reduce the scattering. For a larger object in the dielectric background, we design a multi-layered cloak made up of alternating layers of free space and silicon. Genetic algorithm helps us to find the optimal thickness of the covering layers to minimise the total scattering. For a conducting cylinder with its radius compared to wavelength, we find that six optimised layers can eliminate most of the scattering. The change in the thickness of the free-space layer cannot obviously affect the cloaking efficiency. The non-resonance characteristics make the multi-layered cloak possible to achieve a moderate broadband cloaking.

Keywords: genetic algorithm; Mie theory; invisibility cloak; optimisation method.

DOI: 10.1504/IJMIC.2021.122496

International Journal of Modelling, Identification and Control, 2021 Vol.38 No.2, pp.135 - 142

Received: 01 Feb 2021
Accepted: 22 Apr 2021
Published online: 28 Apr 2022 *

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