Antenna Design by Using MOEA/D-Based Optimization Techniques (Invited Paper)

被引：0

作者：

Ding, Dawei ^{[1
]}

Wang, Gang ^{[1
,2
]}

Yang, Chenwei ^{[1
]}

Wang, Lu ^{[1
]}

Wang, Gang ^{[1
,2
]}

机构：

[1] Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Hefei, Peoples R China

[2] Chinese Acad Sci, Key Lab Electromagnet Space Informat, Hefei, Peoples R China

来源：

2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE FOR COMMUNICATION SYSTEMS AND NETWORKS (CICOMMS) | 2014年

关键词：

antenna; antenna array; MOEA/D; multiobjective optimization; RFID;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recent progress in design of antenna and antenna array by using MOEA/D-based optimization techniques in our group is summarized. We first give a brief introduction to framework of MOEA/D and several MOEA/D-based variants, including modified MOEA/D-DE (MOEA/D combined with differential evolution), MOEA/D-GO (MOEA/D combined with enhanced genetic operators), MOEA/D-GO-II (enhanced MOEA/D-GO), MOEA/D-SL (MOEA/D combined with statistic location information), and MOEA/D-IOO (MOEA/D combined with inverse onion operator). Then we report several antenna design examples in USTC, including designs of multi-band antenna, dielectric-loaded circularly-polarized wideband antenna, distributed UHF RFID reader antenna, versatile fragment-type RFID tag antenna, fragment-type isolation structure for MIMO antennas, and pattern synthesis of compact antenna array. More promising applications of MOEA/D-based optimization in antenna and microwave circuit design are expected.

引用

页码：57 / 60

页数：4

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