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Robust Design of Absorbers Using Genetic Algorithms and the Finite Element-Boundary Integral Method

机译:遗传算法和有限元边界积分法的吸收器稳健设计

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摘要

A new method for the genetic algorithm (GA) based design of broadband, high-performance electromagnetic absorbers is discussed. The method gives rise to novel absorber designs with a geometrical complexity greater than that of absorbers typically in use today. The finite element-boundary integral method is applied to efficiently analyze the scattering from complex geometries occupied by given lossy material, and genetic algorithms are adopted to optimize the geometry parameters to minimize the overall reflection coefficients. In addition, a method is proposed for accelerating the convergence of the GA. Numerical results for absorbers are presented for wide-angle incidence over a broad frequency range considering both polarizations, and demonstrate the new technique's power and robustness.
机译:讨论了一种基于遗传算法(GA)的宽带高性能电磁吸收器设计的新方法。该方法产生了新颖的吸收器设计,其几何复杂度大于当今通常使用的吸收器。应用有限元边界积分法对给定有损耗材料所占据的复杂几何形状的散射进行有效分析,并采用遗传算法对几何形状参数进行优化,使总反射系数最小。另外,提出了一种用于加速遗传算法收敛的方法。给出了考虑到两种极化的吸收器在宽频率范围内的入射角的数值结果,并证明了新技术的强大功能和耐用性。

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