A genetic and simulated annealing combined algorithm for optimization of wideband antenna matching networks

Aixin Chen; Tiehua Jiang; Zhizhang Chen; Yanjun Zhang

doi:10.1155/2012/251624

A genetic and simulated annealing combined algorithm for optimization of wideband antenna matching networks

Aixin Chen^*
, Tiehua Jiang
, Zhizhang Chen
, Yanjun Zhang

^*Corresponding author for this work

School of Electronic and Information Engineering

Research output: Contribution to journal › Article › peer-review

23 Scopus citations

Abstract

A genetic and simulated annealing combined algorithm is presented and applied to optimize broadband matching networks for antennas. As a result, advantages of both the genetic algorithm (GA) and simulated annealing (SA) are taken. Effectiveness and efficiency of the presented combined algorithm are demonstrated by optimization of a wideband matching network for a VHF/UHF discone-based antenna. The optimized parameters provide significant improvements of VSWR and transducer power gain for the antenna.

Original language	English
Article number	251624
Journal	International Journal of Antennas and Propagation
Volume	2012
DOIs	https://doi.org/10.1155/2012/251624
State	Published - 2012

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title = "A genetic and simulated annealing combined algorithm for optimization of wideband antenna matching networks",

abstract = "A genetic and simulated annealing combined algorithm is presented and applied to optimize broadband matching networks for antennas. As a result, advantages of both the genetic algorithm (GA) and simulated annealing (SA) are taken. Effectiveness and efficiency of the presented combined algorithm are demonstrated by optimization of a wideband matching network for a VHF/UHF discone-based antenna. The optimized parameters provide significant improvements of VSWR and transducer power gain for the antenna.",

author = "Aixin Chen and Tiehua Jiang and Zhizhang Chen and Yanjun Zhang",

year = "2012",

doi = "10.1155/2012/251624",

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journal = "International Journal of Antennas and Propagation",

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AU - Chen, Aixin

AU - Jiang, Tiehua

AU - Chen, Zhizhang

AU - Zhang, Yanjun

PY - 2012

Y1 - 2012

N2 - A genetic and simulated annealing combined algorithm is presented and applied to optimize broadband matching networks for antennas. As a result, advantages of both the genetic algorithm (GA) and simulated annealing (SA) are taken. Effectiveness and efficiency of the presented combined algorithm are demonstrated by optimization of a wideband matching network for a VHF/UHF discone-based antenna. The optimized parameters provide significant improvements of VSWR and transducer power gain for the antenna.

AB - A genetic and simulated annealing combined algorithm is presented and applied to optimize broadband matching networks for antennas. As a result, advantages of both the genetic algorithm (GA) and simulated annealing (SA) are taken. Effectiveness and efficiency of the presented combined algorithm are demonstrated by optimization of a wideband matching network for a VHF/UHF discone-based antenna. The optimized parameters provide significant improvements of VSWR and transducer power gain for the antenna.

UR - https://www.scopus.com/pages/publications/84861017377

U2 - 10.1155/2012/251624

DO - 10.1155/2012/251624

M3 - 文章

AN - SCOPUS:84861017377

SN - 1687-5869

VL - 2012

JO - International Journal of Antennas and Propagation

JF - International Journal of Antennas and Propagation

M1 - 251624

ER -

A genetic and simulated annealing combined algorithm for optimization of wideband antenna matching networks

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