Synthesis design of artificial magnetic metamaterials using a genetic algorithm

Optics Express
P Y ChenW X Ni

Abstract

In this article, we present a genetic algorithm (GA) as one branch of artificial intelligence (AI) for the optimization-design of the artificial magnetic metamaterial whose structure is automatically generated by computer through the filling element methodology. A representative design example, metamaterials with permeability of negative unity, is investigated and the optimized structures found by the GA are presented. It is also demonstrated that our approach is effective for the synthesis of functional magnetic and electric metamaterials with optimal structures. This GA-based optimization-design technique shows great versatility and applicability in the design of functional metamaterials.

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Citations

Feb 6, 2017·Optics Express·Jie ZhaoTie Jun Cui
Apr 15, 2010·Optics Express·Shiwei ZhouQing Li
Oct 20, 2012·Advanced Materials·Pai-Yen ChenAndrea Alù
Sep 6, 2020·Nanomaterials·Masanobu Iwanaga
Apr 17, 2020·Nanoscale Research Letters·Zheyu HouFuyu Li
Mar 27, 2013·Optics Express·Shiwei ZhouYi Min Xie
Feb 6, 2020·Scientific Reports·Manh Cuong TranDinh Lam Vu
Dec 24, 2018·Materials·Huafeng LiuLiangcheng Tu

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