This paper presents an optimization of the radiation and absorption characteristics of modified Yagi-Uda (YU) nanoantenna arrays. Four geometries of antennas are considered: conventional YU fed by voltage source and transmission line, and YU with a loop element fed by voltage source and transmission line. The numerical electromagnetic simulations of these nanoantennas were made by the method of moments (MoM). The optimization method used is the adaptive fuzzy GAPSO, which consists of hybridization between genetic algorithm (GA) and particle swarm optimization (PSO), with a fuzzy system employed to adapt the inertial weight and the acceleration coefficients C₁ and C₂ of PSO. The optimized results show that the modified YU nanoantennas present better characteristics of gain, directivity, and radiation efficiency than the conventional YU antenna.

中文翻译：

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自适应模糊GAPSO优化的Yagi-Uda纳米天线阵列的优化

本文提出了改进的八木宇田（YU）纳米天线阵列的辐射和吸收特性的优化。考虑了天线的四个几何形状：由电压源和传输线馈电的常规YU，以及具有由电压源和传输线馈电的环形元件的YU。这些纳米天线的电磁数值模拟是通过矩量法（MoM）进行的。所使用的优化方法是自适应模糊GAPSO，它由遗传算法（GA）和粒子群优化（PSO）之间的混合构成，并采用了一种模糊系统来适应惯性权重和加速度系数C ₁和C ₂PSO。优化结果表明，与传统的YU天线相比，改进后的YU纳米天线具有更好的增益，方向性和辐射效率特性。