Multi-species particle swarms optimization based on orthogonal learning and its application for optimal design of a butterfly-shaped patch antenna

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• 作者：Li-ling Sun 孙丽玲 ; Jing-tao Hu 胡静涛 ; Kun-yuan Hu 胡琨元…
• 关键词：Key wordsparticle swarm optimization (PSO) ; multi ; species coevolution ; orthogonal experimental design ; butterfly ; shaped patch antenna
• 刊名：Journal of Central South University
• 出版年：2016
• 出版时间：August 2016
• 年：2016
• 卷：23
• 期：8
• 页码：2048-2062
• 全文大小：2,762 KB
• 刊物类别：Engineering
• 刊物主题：Engineering, general
  Metallic Materials
  Chinese Library of Science
  
• 出版者：Central South University, co-published with Springer
• ISSN：2227-5223
• 卷排序：23

文摘

A new multi-species particle swarm optimization with a two-level hierarchical topology and the orthogonal learning strategy (OMSPSO) is proposed, which enhances the global search ability of particles and increases their convergence rates. The numerical results on 10 benchmark functions demonstrated the effectiveness of our proposed algorithm. Then, the proposed algorithm is presented to design a butterfly-shaped microstrip patch antenna. Combined with the HFSS solver, a butterfly-shaped patch antenna with a bandwidth of about 40.1% is designed by using the proposed OMSPSO. The return loss of the butterfly-shaped antenna is greater than 10 dB between 4.15 and 6.36 GHz. The antenna can serve simultaneously for the high-speed wireless computer networks (5.15–5.35 GHz) and the RFID systems (5.8 GHz).