Planar monopole Ultra-Wide band antenna optimized by Jumping Genes Genetic Algorithm

Xue-Song Yang; Kim Fung Man; Sai Ho Yeung; Bing-Zhong Wang

doi:10.1109/ICIT.2008.4608410

Planar monopole Ultra-Wide band antenna optimized by Jumping Genes Genetic Algorithm

Xue-Song Yang^*, Kim Fung Man, Sai Ho Yeung, Bing-Zhong Wang

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

4 Citations (Scopus)

Abstract

A novel Multi-Objective Evolutionary Algorithm (MOEA)-Jumping Genes Genetic Algorithm (JGGA) is used to design planar Ultra-Wide Band (UWB) antennas. The optimization procedure aims at finding an antenna not only with low voltage standing wave ratio (VSWR) and small size, but also with stable radiation pattern and stable radiated power over the ultra-wide band. There are five objective functions and they are based on VSWR, antenna size, radiation pattern and gain. Both the simulated and measured results are given and they are in reasonable agreement. The group delay which is an indication of linearity between two proposed antennas is also good. ©2008 IEEE.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Industrial Technology
DOIs	https://doi.org/10.1109/ICIT.2008.4608410
Publication status	Published - 2008
Event	2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008 - Chengdu, China Duration: 21 Apr 2008 → 24 Apr 2008

Conference

Conference	2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008
Place	China
City	Chengdu
Period	21/04/08 → 24/04/08

Research Keywords

Jumping genes genetic algorithm
Multiobjective evolutionary algorithm
Planar monopole
UWB antenna

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10.1109/ICIT.2008.4608410

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title = "Planar monopole Ultra-Wide band antenna optimized by Jumping Genes Genetic Algorithm",

abstract = "A novel Multi-Objective Evolutionary Algorithm (MOEA)-Jumping Genes Genetic Algorithm (JGGA) is used to design planar Ultra-Wide Band (UWB) antennas. The optimization procedure aims at finding an antenna not only with low voltage standing wave ratio (VSWR) and small size, but also with stable radiation pattern and stable radiated power over the ultra-wide band. There are five objective functions and they are based on VSWR, antenna size, radiation pattern and gain. Both the simulated and measured results are given and they are in reasonable agreement. The group delay which is an indication of linearity between two proposed antennas is also good. {\textcopyright}2008 IEEE.",

keywords = "Jumping genes genetic algorithm, Multiobjective evolutionary algorithm, Planar monopole, UWB antenna",

author = "Xue-Song Yang and Man, {Kim Fung} and Yeung, {Sai Ho} and Bing-Zhong Wang",

year = "2008",

doi = "10.1109/ICIT.2008.4608410",

language = "English",

isbn = "9781424417063",

booktitle = "Proceedings of the IEEE International Conference on Industrial Technology",

note = "2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008 ; Conference date: 21-04-2008 Through 24-04-2008",

}

Planar monopole Ultra-Wide band antenna optimized by Jumping Genes Genetic Algorithm. / Yang, Xue-Song; Man, Kim Fung; Yeung, Sai Ho et al.
Proceedings of the IEEE International Conference on Industrial Technology. 2008. 4608410.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Planar monopole Ultra-Wide band antenna optimized by Jumping Genes Genetic Algorithm

AU - Yang, Xue-Song

AU - Man, Kim Fung

AU - Yeung, Sai Ho

AU - Wang, Bing-Zhong

PY - 2008

Y1 - 2008

N2 - A novel Multi-Objective Evolutionary Algorithm (MOEA)-Jumping Genes Genetic Algorithm (JGGA) is used to design planar Ultra-Wide Band (UWB) antennas. The optimization procedure aims at finding an antenna not only with low voltage standing wave ratio (VSWR) and small size, but also with stable radiation pattern and stable radiated power over the ultra-wide band. There are five objective functions and they are based on VSWR, antenna size, radiation pattern and gain. Both the simulated and measured results are given and they are in reasonable agreement. The group delay which is an indication of linearity between two proposed antennas is also good. ©2008 IEEE.

AB - A novel Multi-Objective Evolutionary Algorithm (MOEA)-Jumping Genes Genetic Algorithm (JGGA) is used to design planar Ultra-Wide Band (UWB) antennas. The optimization procedure aims at finding an antenna not only with low voltage standing wave ratio (VSWR) and small size, but also with stable radiation pattern and stable radiated power over the ultra-wide band. There are five objective functions and they are based on VSWR, antenna size, radiation pattern and gain. Both the simulated and measured results are given and they are in reasonable agreement. The group delay which is an indication of linearity between two proposed antennas is also good. ©2008 IEEE.

KW - Jumping genes genetic algorithm

KW - Multiobjective evolutionary algorithm

KW - Planar monopole

KW - UWB antenna

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DO - 10.1109/ICIT.2008.4608410

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424417063

BT - Proceedings of the IEEE International Conference on Industrial Technology

T2 - 2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008

Y2 - 21 April 2008 through 24 April 2008

ER -

Planar monopole Ultra-Wide band antenna optimized by Jumping Genes Genetic Algorithm

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