Optimization of a Wideband Rectangular TEM Device by Genetic Algorithms

作者

  • Shiqi Wang Department of Intelligence and Engineering Shenyang City University, Shenyang, Liaoning 116026, China
  • Yangyi Fu Department of Intelligence and Engineering Shenyang City University, Shenyang, Liaoning 116026, China
  • Jinyu Deng Department of Intelligence and Engineering Shenyang City University, Shenyang, Liaoning 116026, China
  • Guojie Wang Department of Intelligence and Engineering Shenyang City University, Shenyang, Liaoning 116026, China
  • Jiayu Sun Department of Intelligence and Engineering Shenyang City University, Shenyang, Liaoning 116026, China

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https://doi.org/10.13052/2026.ACES.J.410403

关键词:

Genetic algorithms, rectangular TEM device

摘要

In recent years, artificial intelligence has been widely introduced into the design of electromagnetic devices. Traditional designs of DC-5.2 GHz wideband rectangular transverse electromagnetic (TEM) devices depend on complex formulas and electromagnetic simulation software such as HFSS and CST Microwave Studio Suite TM 2013. This paper proposes a DC-5.2 GHz rectangular TEM device optimized by genetic algorithms (GAs). The main innovation is the comparison between AI-based optimization and traditional design methods while ensuring excellent wideband transmission performance. The GA-optimized TEM device presents favorable performance and is suitable for cellular radiation experiments in wireless communication systems.

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Shiqi Wang was born in Shenyang, China. She received the B.Eng. and M.Eng. degrees in information and communication engineering from Dalian Maritime University, Liaoning, China, in 2014 and 2017, respectively. She is currently a Lecturer with the School of Department of Intelligence and Engineering, Shenyang City University. Her current research interests include wideband electromagnetic field, bioelectromagnetics and algorithm optimization method.

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Yangyi Fu was born in Jinzhou, China. She received the B.Eng. and M.Eng. degrees in Communication Engineering from Shenyang Ligong University, Liaoning Province, China, in 2021 and 2024, respectively. She is currently a Teaching Assistant with the School of Department of Intelligence and Engineering, Shenyang City University. Her current research interests include wireless communication, signal processing and data encryption.

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Jinyu Deng was born in Shenyang, China. She earned a Master of Engineering degree in Software Engineering from Liaoning University, Liaoning Province, China, in 2021. She is currently employed as a Lecturer at the School of Intelligence and Engineering, Shenyang City University. Her current research interests encompass machine learning, image processing, and fuzzy measures.

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Guojie Wang was born in Songyuan, China. He received the Bachelor of Engineering (B.Eng.) degree in Network Engineering from Changchun University, Jilin Province, China, in 2019, and the Master of Engineering (M.Eng.) degree in Computer Technology (Electronic Information) from Shenyang Ligong University, Liaoning Province, in 2023. He is currently a Lecturer with the School of Intelligence and Engineering, Shenyang City University. His current research interests include network communication technology and network information security.

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Jiayu Sun was born in Shenyang, China. She obtained a Bachelor of Engineering in Software Engineering from Shenyang University of Technology in 2020 and a Master of Engineering in Computer Science and Technology in 2024. Currently, she serves as an assistant lecturer at the School of Intelligence and Engineering of Shenyang City University, with a primary research focus on computer vision.

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S. Wang, S. Fang, and P. Chen, “Design and optimization of a wideband rectangular TEM device for cell experiments,” Applied Computational Electromagnetics Society (ACES) Journal, vol. 37, no. 1, 2022.

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已出版

2026-04-30

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[1]
S. . Wang, Y. . Fu, J. . Deng, G. . Wang, 和 J. . Sun, 《Optimization of a Wideband Rectangular TEM Device by Genetic Algorithms》, ACES Journal, 卷 41, 期 04, 页 315–322, 4月 2026.

期

2026: Vol 41 Iss 4

栏目

General Submission

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