A review on the recent applications of particle swarm optimization & genetic algorithm during antenna design

被引：8
|
作者：
Kesarwani A.K. [1 ]
Yadav M. [2 ]
Singh D. [2 ]
Gautam G.D. [2 ]
机构：
[1] GL Bajaj Institute of Technology, Greater Noida
[2] Mangalmay Institute of Engineering and Technology, Greater Noida
来源：
Materials Today: Proceedings | 2022年 / 56卷
关键词：
Antenna design; Genetic algorithm; Optimization; PSO;
D O I：
10.1016/j.matpr.2022.02.200
中图分类号：
学科分类号：
摘要：
In recent years, the utilization of optimization techniques in versatile domains such as manufacturing, design and engineering sectors is increased due to their potential and applicability to identify optimal values of process parameters. An effective design of a fully functional antenna is needed for rise in wireless communication sector. Thereby, the design, material selection is also an important feature in antenna design. The design of high-directivity antennas is a challenging task for researchers. Therefore, various researchers employed different optimization techniques for the efficient design of antennas. In the present work, authors reviewed the implementation of different optimization approaches in antenna design for future direction of research work. © 2022
引用
收藏
页码：3823 / 3825
页数：2
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