基于粒子群优化和涡旋搜索算法的带和不带气隙矩形微带天线优化设计

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Pub Date : 2017-01-01 DOI:10.17706/IJCCE.2017.6.1.75-82

U. Ozkaya, L. Seyfi

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引用次数: 0

摘要

本文应用粒子群算法和涡旋搜索算法设计了带气隙和不带气隙的矩形微带天线的理想特性。所提出的人工智能算法的灵感来自自然事件或自然界生物的行为。微带天线的谐振频率和回波损耗与设计参数有关。采用粒子群算法和涡旋搜索算法对介质衬底高度的计算结果进行了优化设计。

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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Optimal Rectangular Microstrip Antenna with and without Air Gaps Design by Means of Particle Swarm Optimization and Vortex Search Algorithm

In this paper, Particle Swarm Optimization and Vortex Search Algorithm are applied to design desired characteristics of rectangular microstrip antenna with and without air gaps. The proposed artificial intelligence algorithms are inspired from natural events or behavior of living things in nature. Resonance frequency and return loss of microstrip antenna are dependence with design parameters. The computed results for dielectric substrate’s height is tuned by Particle Swarm Optimization and Vortex Search Algorithm for optimal design.

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来源期刊

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering

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