Genetically engineered dual-band fractal antennas

Douglas Henry Werner, Pingjuan Li Werner, K. H. Church, J. W. Culver, S. D. Eason

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Fractal antenna engineering concepts have been successfully combined with genetic algorithms to develop a powerful design optimization tool. The genetic optimization approach developed can simultaneously optimize the geometry of a fractal antenna, locations of loads, component values of loads, and projected length of the fractal antenna. The results suggest that a 30-55% size reduction can be achieved by optimizing the fractalization and loading of a given antenna. The knowledge gained as a result of this study is directly applicable to the design of miniature fractal antennas.

Original languageEnglish (US)
Pages (from-to)628-631
Number of pages4
JournalIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume3
DOIs
StatePublished - Jan 1 2001

Fingerprint

Fractals
Antennas
Genetic algorithms
Geometry

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

@article{085a17bf8034429494b5d7ca0a19e880,
title = "Genetically engineered dual-band fractal antennas",
abstract = "Fractal antenna engineering concepts have been successfully combined with genetic algorithms to develop a powerful design optimization tool. The genetic optimization approach developed can simultaneously optimize the geometry of a fractal antenna, locations of loads, component values of loads, and projected length of the fractal antenna. The results suggest that a 30-55{\%} size reduction can be achieved by optimizing the fractalization and loading of a given antenna. The knowledge gained as a result of this study is directly applicable to the design of miniature fractal antennas.",
author = "Werner, {Douglas Henry} and Werner, {Pingjuan Li} and Church, {K. H.} and Culver, {J. W.} and Eason, {S. D.}",
year = "2001",
month = "1",
day = "1",
doi = "10.1109/APS.2001.960175",
language = "English (US)",
volume = "3",
pages = "628--631",
journal = "AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society)",
issn = "0272-4693",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

Genetically engineered dual-band fractal antennas. / Werner, Douglas Henry; Werner, Pingjuan Li; Church, K. H.; Culver, J. W.; Eason, S. D.

In: IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), Vol. 3, 01.01.2001, p. 628-631.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Genetically engineered dual-band fractal antennas

AU - Werner, Douglas Henry

AU - Werner, Pingjuan Li

AU - Church, K. H.

AU - Culver, J. W.

AU - Eason, S. D.

PY - 2001/1/1

Y1 - 2001/1/1

N2 - Fractal antenna engineering concepts have been successfully combined with genetic algorithms to develop a powerful design optimization tool. The genetic optimization approach developed can simultaneously optimize the geometry of a fractal antenna, locations of loads, component values of loads, and projected length of the fractal antenna. The results suggest that a 30-55% size reduction can be achieved by optimizing the fractalization and loading of a given antenna. The knowledge gained as a result of this study is directly applicable to the design of miniature fractal antennas.

AB - Fractal antenna engineering concepts have been successfully combined with genetic algorithms to develop a powerful design optimization tool. The genetic optimization approach developed can simultaneously optimize the geometry of a fractal antenna, locations of loads, component values of loads, and projected length of the fractal antenna. The results suggest that a 30-55% size reduction can be achieved by optimizing the fractalization and loading of a given antenna. The knowledge gained as a result of this study is directly applicable to the design of miniature fractal antennas.

UR - http://www.scopus.com/inward/record.url?scp=0035157497&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035157497&partnerID=8YFLogxK

U2 - 10.1109/APS.2001.960175

DO - 10.1109/APS.2001.960175

M3 - Article

AN - SCOPUS:0035157497

VL - 3

SP - 628

EP - 631

JO - AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society)

JF - AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society)

SN - 0272-4693

ER -