Application of a parallel particle swarm optimization scheme to the design of electomagnetic absorbers

被引：67

作者：

Cui, SM ^{[1
]}

Weile, DS ^{[1
]}

机构：

[1] Univ Delaware, Dept Elect & Comp Engn, Newark, DE 19716 USA

来源：

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION | 2005年 / 53卷 / 11期

关键词：

electromagnetic absorbers; genetic algorithms; optimization; parallel processing; particle swarm optimization;

D O I：

10.1109/TAP.2005.858866

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：

The application of parallel (synchronous) particle swarm optimization (PSO) to electromagnetic absorber design is described. Synchronous PSO is a version of PSO that allows for parallelization and hence faster optimization. The velocity updating rule is empirically determined, and a simple approach is presented to improve its robustness. Absorbers designed with the PSO approach are compared with absorbers designed by genetic algorithms (GAs). Numerical results demonstrate that the PSO is able to deliver absorbers with comparable performance to GA-designed absorbers, with much less computational cost.

引用

页码：3616 / 3624

页数：9

共 50 条

[11] A Parallel Chaos Particle Swarm Optimization
Yang Dao-ping
Zhang Kai
Fan Lin-bo
Zhao Ming
2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL III, PROCEEDINGS,, 2009, : 645 - +
[12] Parallel asynchronous particle swarm optimization
Koh, Byung-Il
George, Alan D.
Haftka, Raphael T.
Fregly, Benjamin J.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2006, 67 (04) : 578 - 595
[13] A Novel Scheme for Particle Swarm Optimization
He Wei
Xu Yuanming
Zhou Yaoming
Meng Zhijun
Li Yuankai
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING, 2015, 121 : 571 - 580
[14] Application of Parallel Particle Swarm Optimization on Power System State Estimation
Jeong, Hee-Myung
Lee, Hwa-Seok
Park, June-Ho
T& D ASIA: 2009 TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: ASIA AND PACIFIC, 2009, : 752 - +
[15] Parallel hybridization of differential evolution and particle swarm optimization for constrained optimization with its application
Parouha R.P.
Das K.N.
International Journal of System Assurance Engineering and Management, 2016, 7 (Suppl 1) : 143 - 162
[16] A new particle swarm optimization algorithm for fuzzy optimization of armored vehicle scheme design
Kan Wang
Yu Jun Zheng
Applied Intelligence, 2012, 37 : 520 - 526
[17] Application of particle swarm optimization for the design of UWB bandpass filters
Toya, Sunao
Huang, Tony
Mohan, Ananda S.
Yakabe, Toshiyuki
2007 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM, VOLS 1-12, 2007, : 1483 - +
[18] The Application of Uniform Design in Parameter Establishment of Particle Swarm Optimization
Jiang, Shanhe
Chen, Yusheng
Jiang, Julang
Wang, Qishen
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 3150 - 3154
[19] A new particle swarm optimization algorithm for fuzzy optimization of armored vehicle scheme design
Wang, Kan
Zheng, Yu Jun
APPLIED INTELLIGENCE, 2012, 37 (04) : 520 - 526
[20] Application of particle swarm optimization to the automatic design of optical systems
Menke, Christoph
OPTICAL DESIGN AND ENGINEERING VII, 2018, 10690

← 1 2 3 4 5 →