Antenna Optimization Based on Quasi-Opposition Grey Wolf Optimization Algorithm

被引：0
|
作者：
Zhu, Hao-Yun [1 ]
Li, Wei-Dong [2 ]
Zhao, Hai-Yan [2 ]
机构：
[1] Southeast Univ, Sch Cyber Sci & Engn, Nanjing 210096, Peoples R China
[2] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Peoples R China
来源：
2022 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY (ICMMT) | 2022年
关键词：
Antenna; Quasi-Opposition; Grey Wolf Optimization algorithm;
D O I：
10.1109/ICMMT55580.2022.10022853
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Performance optimization of an antenna is a non-linear, multi-dimensional and complex scheme, which can be solved by applying intelligence algorithms. A Quasi-Opposition Grey Wolf Optimization (QOGWO) algorithm is presented to improve the Grey Wolf Optimization (GWO) algorithm. It is prone to global optimality, high precision for complex problems and a fast convergence rate at a later stage. A wideband dual-polarized magneto-electric dipole antenna is simulated as an example. Compared to the GWO algorithm, the antenna optimized by the improved algorithm has a wider bandwidth, verifying the feasibility of the algorithm in the field of antenna design optimization.
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页数：3
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