FDTD genetic algorithm for antenna optimization

被引：0

作者：

Eclercy, D

Reineix, A

Jecko, B

机构：

来源：

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS | 1997年 / 16卷 / 02期

关键词：

FDTD; genetic algorithm; neural network; optimization; antenna;

D O I：

10.1002/(SICI)1098-2760(19971005)16:2<72::AID-MOP4>3.3.CO;2-K

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：

An original theoretical approach for antenna optimization and design is introduced in this paper. This method consists of coupling between the FDTD method applied to the study of microstrip patch antennas and the genetic algorithm (GA) as an optimization tool. A neural network allows the computing time to be deceased by acting as a database, thus avoiding multiple calls to the FDTD code. The principle of this approach is illustrated. (C) 1997 John Wiley & Sons, Inc.

引用

页码：72 / 74

页数：3

共 10 条

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