利用遗传算法设计多层FSS和波导滤波器

Proceedings of IEEE Antennas and Propagation Society International Symposium Pub Date : 1993-06-28 DOI:10.1109/APS.1993.385586

E. Michielssen, J. Sajer, R. Mittra

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引用次数: 17

摘要

与c.h. Chan等人(1992)提出的基于神经网络的综合技术相比，本方法不通过优化给定元件形状的尺寸来寻找最佳设计。相反，这样的设计是通过层叠的预定义元件形状和介电层的基本构建块获得的。一个包含16种不同元素类型的小数据库被用来说明所建议的技术

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Design of multilayered FSS and waveguide filters using genetic algorithms

In contrast to a neural network-based synthesis technique proposed by C. H. Chan et al. (1992), the present method does not search for the optimal design by optimizing the dimensions of a given element shape. Instead, such a design is obtained by cascading elementary building blocks of predefined element shapes and dielectric layers. A small database containing 16 different element types is used to illustrate the proposed technique.<>

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Proceedings of IEEE Antennas and Propagation Society International Symposium

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