volume | PIER Journals

Abstract

This paper proposes a Hybrid Multi-Strategy Enhanced Enzyme Action Optimizer (HSEAO) for designing multilayer broadband microwave absorbers under vertical irradiation conditions. The optimization objective is to minimize the absorber's reflection coefficient within a specified frequency range by selecting suitable material layers from a literature database. The performance of the Enzyme Action Optimizer (EAO) has been improved by introducing three enhancement strategies including Quasi-Opposition Based Learning (QOBL), adaptive coefficient, and leader follower. The effectiveness of these enhancement strategies is validated through simulation examples of five-layer and seven-layer microwave absorbers, achieving maximum reflection losses of -25.7975 dB and -18.1965 dB, respectively. Results demonstrate that HSEAO outperforms other heuristic algorithms in minimizing reflection coefficients for microwave absorber design. CST simulations further demonstrate that microwave absorbers designed by HSEAO achieve lower reflection losses.

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Dr. Tongyu Liu

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Dr. Yiming Zong

Mr. Lei Wang

Dr. Yuanyuan Wang

Dr. Wenwen Yang

Dr. Yidong Wei