Rectangular Micro Strip Antenna Design Using Particle Swarm Optimiztion,Neural Networks and Genetic Algorithms

Allemki Santhosh Kumar
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引用次数: 1

Abstract

This paper deals with the designing of a Rectangular Patch Micro Strip Antenna using a different algorithms such as Particle Swarm Optimization (PSO), Neural Networks(NN), Genetic Algorithm(GA). The Simulation time is calculated for the Rectangular patch Micro strip antenna with these algorithms. In this paper the performance comparison of Rectangular patch Micro strip antenna is done using NN,GA and PSO algorithm. The PSO method effectively obtains the less simulation time when compared to the remaining algorithms. The radiation pattern of Rectangular Micro strip antenna is generated using PSO algorithm. .
基于粒子群优化、神经网络和遗传算法的矩形微带天线设计
本文采用粒子群算法、神经网络算法和遗传算法对矩形贴片微带天线进行了设计。利用这些算法计算了矩形贴片微带天线的仿真时间。本文采用神经网络、遗传算法和粒子群算法对矩形贴片微带天线的性能进行了比较。与现有算法相比,粒子群算法有效地缩短了仿真时间。利用粒子群算法生成矩形微带天线的辐射方向图。
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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