Weibin Kong , Xiaoyu Zhang , Zhongqing Fang , Weidong Li , Lei Wang , Wenwen Yang , Rugang Wang , Ke Gong
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引用次数: 0
Abstract
The multilayer broadband radar absorber optimization problem (MBRAOP) is characterized as a mixed-variable multimodal multiobjective optimization problem (MVMMOP) in real-world applications. This paper proposes a novel approach called HEDA-DulMVMO to solve the MBRAOP. The method introduces an enhanced dual-population cooperative evolutionary mechanism to balance convergence and diversity in both the discrete decision space and the objective space. Additionally, the histogram-based estimation of distribution (EoD) model is employed to generate high-quality auxiliary evolutionary populations. The performance of the proposed approach is validated on the designed MVMMOP benchmark problems. Final optimization and evaluation are conducted on the multilayer broadband radar absorber (MBRA) for configurations ranging from 2 to 7 layers, with incident angles from 0°to 75°across five critical frequency bands. Experimental results on both the benchmark problems and the MBRA demonstrate the effectiveness and competitiveness of the proposed approach.
期刊介绍:
AEÜ is an international scientific journal which publishes both original works and invited tutorials. The journal''s scope covers all aspects of theory and design of circuits, systems and devices for electronics, signal processing, and communication, including:
signal and system theory, digital signal processing
network theory and circuit design
information theory, communication theory and techniques, modulation, source and channel coding
switching theory and techniques, communication protocols
optical communications
microwave theory and techniques, radar, sonar
antennas, wave propagation
AEÜ publishes full papers and letters with very short turn around time but a high standard review process. Review cycles are typically finished within twelve weeks by application of modern electronic communication facilities.