Zhihao Yuan, R. Jin, Jun-ping Geng, Yu Fan, Jia Lao, Jiaqiang Li, X. Rui, Zhijiang Fang, Jing Sun
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引用次数: 7

摘要

本文提出了一种改进的粒子群优化算法,该算法采用了全局最优摄动和惯性权跳阈值等特殊技术。提高了收敛速度和收敛精度。使用它可以避免早熟和容易陷入局部最优等问题。对一些基准函数的实验表明,该方法取得了较高的性能。提出了利用PPSO优化天线阵辐射方向图的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A perturbation particle swarm optimization for the synthesis of the radiation pattern of antenna array
In this paper, a modified particle swarm optimization algorithm is proposed, in which special techniques such as global best perturbation and inertia weight jump threshold are adopted. The convergence speed and accuracy are improved. Using it, the problems such as prematurity and easily trapping in local optima can be avoided. The experiments of some benchmark functions demonstrate that it achieves relatively high performance. Optimization of the radiation pattern of antenna array using the PPSO is also presented.
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