Optimization of Multilayer Microwave Absorbers using Multi-strategy Improved Gold Rush Optimizer

Authors

  • Yi Ming Zong College of Information Engineering Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center, Yancheng Institute of Technology, Jiangsu Yancheng 224051, China
  • Wei Bin Kong College of Information Engineering Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center, Yancheng Institute of Technology, Jiangsu Yancheng 224051, China
  • Jia Pan Li School of Information Science and Engineering Southeast University, Jiangsu Nanjing 211189s, China
  • Lei Wang College of Information Engineering Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center, Yancheng Institute of Technology, Jiangsu Yancheng 224051, China https://orcid.org/0000-0002-7131-861X
  • Hao Nan Zhang College of Information Engineering Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center, Yancheng Institute of Technology, Jiangsu Yancheng 224051, China
  • Feng Zhou College of Information Engineering Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center, Yancheng Institute of Technology, Jiangsu Yancheng 224051, China
  • Zi Yao Cheng College of Information Engineering Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center, Yancheng Institute of Technology, Jiangsu Yancheng 224051, China

DOI:

https://doi.org/10.13052/2024.ACES.J.390806

Keywords:

Absorbing material, gold rush optimizer, multilayer microwave absorber, reflection coefficient

Abstract

In this study, a multi-strategy improved gold rush optimizer (MIGRO) is proposed for the design of multilayer broadband microwave absorbers (for normal incidence). The purpose of this optimization process is to minimize the maximum reflection coefficient of the absorber by selecting appropriate material layers from existing literature databases within the desired frequency range. To enhance the performance of a gold rush optimizer (GRO), three improvement strategies are proposed. This paper demonstrates the effectiveness of the improved strategy and the superior reflection coefficient of the MIGRO compared to other heuristic algorithms used for the design of microwave absorbers through two different simulation examples.

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Author Biographies

Yi Ming Zong, College of Information Engineering Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center, Yancheng Institute of Technology, Jiangsu Yancheng 224051, China

Yi Ming Zong received the B.S. degree in electronic information engineering from Yancheng Institute of Technology in 2022. He is currently pursuing the M.Eng. degree in electronic information at Yancheng Institute of Technology. His main research interests focus on computational electromagnetics and artificial intelligence.

Wei Bin Kong, College of Information Engineering Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center, Yancheng Institute of Technology, Jiangsu Yancheng 224051, China

Wei Bin Kong received the B.S. degree in mathematics from Qufu Normal University, China, 2007, the M.S. degree in mathematics from Southeast University, Nanjing, China, in 2010, and the Ph.D. degree in radio engineering from Southeast University, Nanjing, China, in 2015. Since 2020, he has been an associate professor with the College of Information Engineering, Yancheng Institute of Technology, Yancheng. His current research interests include computational electromagnetism, artificial intelligence, and wireless communication.

Jia Pan Li, School of Information Science and Engineering Southeast University, Jiangsu Nanjing 211189s, China

Jia Pan Li received the B.S. degree in college of information and communication engineering from Harbin Engineering University. He is currently working toward the master’s degree in electronic and information engineering at Southeast University. His current research interests include signal processing and optimum algorithms.

Lei Wang, College of Information Engineering Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center, Yancheng Institute of Technology, Jiangsu Yancheng 224051, China

Lei Wang received the B.S. degree in integrated circuit design and integrated systems and the Ph.D. degree in information and communication engineering from Nantong University, Nantong, Jiangsu, China, in 2017 and 2023, respectively. Since 2023, he has been a Lecturer with the College of Information Engineering, Yancheng Institute of Technology, Yancheng. His current research interests include artificial intelligence and antenna, millimeter-wave antennas and arrays, and characteristic mode analysis.

Hao Nan Zhang, College of Information Engineering Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center, Yancheng Institute of Technology, Jiangsu Yancheng 224051, China

Hao Nan Zhang received the B.S. degree from the Southeast University Chengxian College, Nanjing, China, in 2021, and he is currently pursuing the M.Eng. degree at Yancheng Institute of Technology. His current research interests include computational electromagnetics and wireless communications.

Feng Zhou, College of Information Engineering Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center, Yancheng Institute of Technology, Jiangsu Yancheng 224051, China

Feng Zhou received the B.S. degrees and M.S. degrees from Southeast University, Nanjing, China, in 2004 and 2012, respectively. Since 2023, he is a professor with the College of Information Engineering, Yancheng Institute of Technology, Yancheng, China. His research interests include cooperative communication, satellite communication, cognitive radio, physical layer security, and UAV communication.

Zi Yao Cheng, College of Information Engineering Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center, Yancheng Institute of Technology, Jiangsu Yancheng 224051, China

Zi Yao Cheng is currently pursuing the bachelor’s degree in opto-electronic information engineering with Yancheng Institute of Technology. During the bachelor’s degree, he actively participated in multiple research projects on object detection and made outstanding contributions to optimizing object detection models. His research interests include computer vision and intelligent algorithms.

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Published

2024-08-31

How to Cite

[1]
Y. M. . Zong, “Optimization of Multilayer Microwave Absorbers using Multi-strategy Improved Gold Rush Optimizer”, ACES Journal, vol. 39, no. 08, pp. 708–717, Aug. 2024.

Issue

2024: Vol 39 Iss 8

Section

General Submission

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