Pareto genetic algorithm based optimization of log-periodic monopole arrays mounted on realistic platforms

被引：10

作者：

Fisher, SE ^{[1
]}

Weile, DS ^{[1
]}

Michielssen, E ^{[1
]}

Woody, W ^{[1
]}

机构：

[1] Univ Illinois, Dept Elect & Comp Engn, Ctr Computat Electromagnet, Urbana, IL 61820 USA

来源：

JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS | 1999年 / 13卷 / 05期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1163/156939399X01032

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：

A three-objective Pareto genetic algorithm is applied to the design of practical impedance-modulated feeds for log-periodic monopole arrays (LPMAs) mounted on arbitrary structures. Traditional design techniques do not permit the synthesis of feed structures for arrays on complex grounding structures. The multimodality of the search space of the feed-network design parameters precludes the use of standard gradient-search methods. The use of Pareto genetic algorithms allows for the study of tradeoffs between competing performance goals, and permits the generation of a database of feed designs that represent optimal performance tradeoffs from which one can select a posteriori. Numerical results are presented for the design of an LPMA mounted on a realistic wing.

引用

页码：571 / 598

页数：28