Finding improved wire-antenna geometries with genetic algorithms

被引：4

作者：

Van Veldhuizen, DA ^{[1
]}

Sandlin, BS ^{[1
]}

Marmelstein, RE ^{[1
]}

Lamont, GB ^{[1
]}

Terzuoli, AJ ^{[1
]}

机构：

[1] USAF, Inst Technol, Grad Sch Engn, Dept Elect & Comp Engn, Wright Patterson AFB, OH 45433 USA

来源：

1998 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION - PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/ICEC.1998.699330

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A remote monitoring system's performance is measured largely by its associated antennas' efficacy. Improving antenna performance is not a straightforward process, as many (sometimes conflicting) design trade-offs must be considered. An alternative approach specifies desired antenna properties and then searches for antenna geometries producing those properties. We implement this approach of designing a wire antenna having optimal performance under user-defined adverse conditions by using a genetic algorithm, where fitness of promising designs is analysed using the Numerical Electromagnetics Code (NEC) Version 4.1. Two versions of an integrated GA-NEC code are implemented; both produce geometries showing improvement over current designs. Results for both versions are presented, compared, and discussed.

引用

页码：102 / 107

页数：6

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