Design of Multilayer Wideband Microwave Absorbers using Improved Grey Wolf Optimizer

Authors

  • 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
  • Zhi Fei Zhang College of Information Engineering, Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center Yancheng Institute of Technology, Jiangsu Yancheng, 224051, China
  • Yi Du 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
  • Xiao Fang Yang College of Information Engineering, Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center Yancheng Institute of Technology, Jiangsu Yancheng, 224051, China
  • Zhong Qing Fang 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/10.13052/2023.ACES.J.380913

Keywords:

absorbing material, GWO, multilayer microwave absorbers, reflection coefficient

Abstract

In this paper, an improved heuristic algorithm based on the disturbance and somersault foraging grey wolf optimizer (IDSFGWO) is proposed to optimize the design of multilayer wideband microwave absorbers for normal incidence. The multilayer absorber is designed to reduce maximum reflection coefficient by choosing suitable layers of materials from a predefined database. Three improvement strategies are given to enhance the performance of GWO, including tent map, nonlinear perturbation, and somersault foraging. The optimization results show that the reflection coefficients optimized by IDSFGWO are better than those of other algorithms for multilayer absorber design.

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Author Biographies

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

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

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

Zhifei Zhang received the B.S. degree in computer science and technology from Yancheng Institute of Techno-logy in 2022. He is currently pursuing the M.Eng. degree in mechanical engineering at Yancheng Institute of Technology. His main research interests focus on computational electromagnetics and artificial intelligence.

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

Yi Du received the B.S. degree in electrical information engineering from Suqian University, Suqian, China, in 2022. He is currently pursuing the M.Eng. degree in mechanical engineering at Yancheng Institute of Technology. His research interests include signal processing 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

Weibin Kong received the B.S. degree in mathematics from Qufu Normal University, China, 2007, and 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.

Xiao Fang Yang, College of Information Engineering, Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center Yancheng Institute of Technology, Jiangsu Yancheng, 224051, China

Xiaofang Yang received the B.S. and M.S. degrees from Jiangsu Normal University, Xuzhou, China, in 2009 and 2012, respectively, and the Ph.D. degree from Fudan University, Shanghai, China, in 2016. Since 2016, she has been a lecturer with the Coll-ege of Information Engineering, Yancheng Institute of Technology, Yancheng, China. Her current research interests include fiber sensors, computational optics, and computational electromagnetics.

Zhong Qing Fang, College of Information Engineering, Yancheng Optical Fiber Sensing and Application Engineering Technology Research Center Yancheng Institute of Technology, Jiangsu Yancheng, 224051, China

Zhongqing Fang obtained the B.S degree in optical information science and technology from Anhui Uni-versity in 2014, and received his Ph.D. in optics from University of Science and Technology of China (USTC) in 2019. Since 2020, he has been a lecturer with the College of Information Engineering, Yancheng Institute of Technology, Yancheng. His current research interests focus on the fiber sensors and artificial intelligence.

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Published

2023-09-30

How to Cite

[1]
H. N. . Zhang, Z. F. . Zhang, Y. . Du, W. B. . Kong, X. F. . Yang, and Z. Q. . Fang, “Design of Multilayer Wideband Microwave Absorbers using Improved Grey Wolf Optimizer”, ACES Journal, vol. 38, no. 09, pp. 725–733, Sep. 2023.

Issue

2023: Vol 38 Iss 9

Section

Special Issue on ACES-China 2022 Conference

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