Optimization of a Patch Antenna by Genetic Algorithms and a Hybrid FEM/RBCI Method

S. Alfonzetti, G. Borzì, E. Dilettoso, N. Salerno
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引用次数: 1

Abstract

The paper describes an efficient technique for optimizing the shape of the patch of a multi-band antenna by means of genetic algorithms and a hybrid finite element - robin boundary condition iteration method, for the analysis of open-boundary scattering and radiation electromagnetic field problems. The admissible rectangular patch area is logically and regularly subdivided into rectangular sub-areas, coinciding with the trace of the tetrahedral edge element mesh on the patch surface. In this way the relevant matrices of the finite element algebraic system, computed at the beginning of the optimization, remain unchanged, even if the patch is changed by inserting some metallic sub-areas. Moreover, in order to reduce the computing time of the iterative solver, the solution to a similar patch configuration is used as the initial guess for the solver
基于遗传算法和FEM/RBCI混合方法的贴片天线优化
本文介绍了一种利用遗传算法和混合有限元- robin边界条件迭代法优化多波段天线贴片形状的有效方法,用于开放边界散射和辐射电磁场问题的分析。允许的矩形斑块区域被逻辑地、规则地细分为矩形子区域,与四面体边缘元网格在斑块表面的轨迹一致。这样,在优化开始时计算的有限元代数系统的相关矩阵保持不变,即使通过插入一些金属子区域来改变补丁。此外,为了减少迭代求解器的计算时间,将相似patch配置的解作为求解器的初始猜测
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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