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
收藏
页码：3616 / 3624
页数：9
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