Design of Multilayer Wideband Microwave Absorbers using Improved Grey Wolf Optimizer

被引：0

作者：

Zhang, Hao Nan ^{[1
]}

Zhang, Zhi Fei ^{[1
]}

Du, Yi ^{[1
]}

Kong, Wei Bin ^{[1
]}

Yang, Xiao Fang ^{[1
]}

Fang, Zhong Qing ^{[1
]}

机构：

[1] Yancheng Inst Technol, Coll Informat Engn, Yancheng Opt Fiber Sensing & Applicat Engn Technol, Yancheng 224051, Jiangsu, Peoples R China

来源：

APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL | 2023年 / 38卷 / 09期

关键词：

absorbing material; GWO; multilayer microwave absorbers; reflection coefficient; ALGORITHM;

D O I：

10.13052/2023.ACES.J.380913

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：725 / 733

页数：9

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