粒子群优化算法在天线优化中的应用效率研究

D. Olćan, R. Golubovic, B. Kolundžija
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引用次数: 11

摘要

本文给出了用粒子群优化器(PSO)求解三种不同的天线优化问题的结果。将粒子群优化算法得到的结果与其他优化算法得到的结果进行比较,以估计粒子群优化算法的效率。第一个问题是在矩形辐射波导中寻找馈电探头的最佳位置。第二个问题是找出八木天线的最大正向增益。第三个问题是寻找最优馈电的宽频天线阵列。优化问题分别有2个、6个和20个优化变量
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Efficiency of Particle Swarm Optimizer when Applied to Antenna Optimization
This paper presents the results for three different antenna optimization problems that are found using the particle swarm optimizer (PSO). The outcomes found with PSO are compared to the outcomes found with other optimization algorithms to estimate the efficiency of PSO. The first problem is finding the optimal position of the feeding probe in a radiating rectangular waveguide. The second problem is finding the maximal forward gain of a Yagi antenna. The third problem is finding the optimal feeding of a broadside antenna array. The optimization problems have 2, 6, and 20 optimization variables respectively
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