Journal of Systems Engineering and Electronics ›› 2025, Vol. 36 ›› Issue (3): 634-641.doi: 10.23919/JSEE.2024.000128

• ELECTRONICS TECHNOLOGY • Previous Articles    

Topological optimization of metamaterial absorber based on improved estimation of distribution algorithm

Shifei TAO1,*(), Beichen LIU1(), Sixing LIU1(), Fan WU2(), Hao WANG1()   

  1. 1 School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
    2 School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
  • Received:2023-01-18 Accepted:2023-09-03 Online:2025-06-18 Published:2025-07-10
  • Contact: Shifei TAO E-mail:s.tao@njust.edu.cn;516109908@qq.com;sixingliu@njust.edu.cn;wufan@njust.edu.cn;haowang@mail.njust.edu.cn
  • About author:
    TAO Shifei was born in 1987. He received his B.Sc. and Ph.D. degrees from the Department of Communication Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China, in 2008 and 2014, respectively. Since 2017, he has been with NJUST, and now he is an associate professor in the Department of Communication Engineering, NJUST. From 2015 to 2016, he was a postdoctoral research associate in electronic and computer engineering in Northeastern University, Boston, USA. His current research interests are electromagnetic theory and antenna technology, and synthetic aperture radar images processing. E-mail: s.tao@njust.edu.cn

    LIU Beichen was born in 1998. He received his B.S. degree in electronic information engineering from Nanjing University of Science and Technology. Currently he is working towards his M.S. degree in the School of Electronic and Optical Engineering from Nanjing University of Science and Technology. His main research interests include design and automatic optimization of metamaterial absorber. E-mail: 516109908@qq.com

    LIU Sixing was born in 1997. She is currently pursuing her Ph.D. degree in electric science and technology with Nanjing University of Science and Technology. Her current research interests include metasurfaces design and surrogate model optimization algorithm. E-mail: sixingliu@njust.edu.cn

    WU Fan was born in 1988. He received his Ph.D. degree from Duke University in 2021. Now he is a researcher with the School of Mechanical Engineering, Nanjing University of Science and Technology. His current research interests include design and development of absorbing and electromagnetic shielding materials. E-mail: wufan@njust.edu.cn

    WANG Hao was born in 1980. He received his B.S. and Ph.D. degrees in electrical engineering from Nanjing University of Science and Technology, Nanjing, China, in 2002 and 2009, respectively. He is currently a professor with the School of Electronic and Optical Engineering, Nanjing University of Science and Technology. His current research interests include microstrip antennas for wireless communications and terminal antenna subsystem for compass navigation satellite system. E-mail: haowang@mail.njust.edu.cn
  • Supported by:
    This work was supported by the National Key Research and Development Program (2021YFB3502500).

Abstract:

An improved estimation of distribution algorithm (IEDA) is proposed in this paper for efficient design of metamaterial absorbers. This algorithm establishes a probability model through the selected dominant groups and samples from the model to obtain the next generation, avoiding the problem of building-blocks destruction caused by crossover and mutation. Neighboring search from artificial bee colony algorithm (ABCA) is introduced to enhance the local optimization ability and improved to raise the speed of convergence. The probability model is modified by boundary correction and loss correction to enhance the robustness of the algorithm. The proposed IEDA is compared with other intelligent algorithms in relevant references. The results show that the proposed IEDA has faster convergence speed and stronger optimization ability, proving the feasibility and effectiveness of the algorithm.

Key words: metamaterial, topological optimization, estimation of distribution algorithm