A design optimization methodology for multiband stochastic antennas

Pingjuan Li Werner; Douglas Henry Werner

A design optimization methodology for multiband stochastic antennas

Research output: Contribution to journal › Conference article › peer-review

Abstract

An alternative design methodology for achieving the design of miniature multiband loaded fractal dipole antennas is presented. This methodology employs a genetic algorithm (GA) to evolve a class of multiband antennas, called stochastic antennas, which offer optimal performance characteristics. Several examples of optimized stochastic antennas are given.

Original language	English (US)
Pages (from-to)	354-357
Number of pages	4
Journal	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume	2
State	Published - 2002
Event	2002 IEEE Antennas and Propagation Society International Symposium - San Antonio, TX, United States Duration: Jun 16 2002 → Jun 21 2002

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Cite this

@article{a2d38e4b2c4d4673b3592af5e786a435,

title = "A design optimization methodology for multiband stochastic antennas",

abstract = "An alternative design methodology for achieving the design of miniature multiband loaded fractal dipole antennas is presented. This methodology employs a genetic algorithm (GA) to evolve a class of multiband antennas, called stochastic antennas, which offer optimal performance characteristics. Several examples of optimized stochastic antennas are given.",

author = "Werner, \{Pingjuan Li\} and Werner, \{Douglas Henry\}",

year = "2002",

language = "English (US)",

volume = "2",

pages = "354--357",

journal = "IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)",

issn = "1522-3965",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2002 IEEE Antennas and Propagation Society International Symposium ; Conference date: 16-06-2002 Through 21-06-2002",

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TY - JOUR

T1 - A design optimization methodology for multiband stochastic antennas

AU - Werner, Pingjuan Li

AU - Werner, Douglas Henry

PY - 2002

Y1 - 2002

N2 - An alternative design methodology for achieving the design of miniature multiband loaded fractal dipole antennas is presented. This methodology employs a genetic algorithm (GA) to evolve a class of multiband antennas, called stochastic antennas, which offer optimal performance characteristics. Several examples of optimized stochastic antennas are given.

AB - An alternative design methodology for achieving the design of miniature multiband loaded fractal dipole antennas is presented. This methodology employs a genetic algorithm (GA) to evolve a class of multiband antennas, called stochastic antennas, which offer optimal performance characteristics. Several examples of optimized stochastic antennas are given.

UR - https://www.scopus.com/pages/publications/0036070798

UR - https://www.scopus.com/pages/publications/0036070798#tab=citedBy

M3 - Conference article

AN - SCOPUS:0036070798

SN - 1522-3965

VL - 2

SP - 354

EP - 357

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

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

T2 - 2002 IEEE Antennas and Propagation Society International Symposium

Y2 - 16 June 2002 through 21 June 2002

ER -

A design optimization methodology for multiband stochastic antennas

Abstract

All Science Journal Classification (ASJC) codes

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