MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN

MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN

This work presents three of the main evolutionary algorithms: Genetic Algorithm, Evolution Strategy and Evolutionary Programming, applied to microstrip antennas design. Efficiency tests were performed, considering the analysis of key physical and geometrical parameters, evolution type, numerical random generators effects, evolution operators and selection criteria. These algorithms were validated through design of microstrip antennas based on the Resonant Cavity Method, and allow multiobjective optimizations, considering bandwidth, standing wave ratio and relative material permittivity. The optimal results obtained with these optimization processes, were confirmed by CST Microwave Studio commercial package.

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Bibliographic Details
Main Authors: Rodrigues Brianeze,Juliano, da Silva-Santos,Carlos Henrique, Hernández-Figueroa,Hugo Enrique
Format: Digital revista
Language:English
Published: Universidad de Tarapacá. 2009
Online Access:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052009000300002
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spelling oai:scielo:S0718-330520090003000022010-09-07MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGNRodrigues Brianeze,Julianoda Silva-Santos,Carlos HenriqueHernández-Figueroa,Hugo Enrique Microstrip antennas computational electromagnetism evolutionary algorithms multiobjective optimization computing simulation This work presents three of the main evolutionary algorithms: Genetic Algorithm, Evolution Strategy and Evolutionary Programming, applied to microstrip antennas design. Efficiency tests were performed, considering the analysis of key physical and geometrical parameters, evolution type, numerical random generators effects, evolution operators and selection criteria. These algorithms were validated through design of microstrip antennas based on the Resonant Cavity Method, and allow multiobjective optimizations, considering bandwidth, standing wave ratio and relative material permittivity. The optimal results obtained with these optimization processes, were confirmed by CST Microwave Studio commercial package.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.17 n.3 20092009-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052009000300002en10.4067/S0718-33052009000300002
institution SCIELO
collection OJS
country Chile
countrycode CL
component Revista
access En linea
databasecode rev-scielo-cl
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Rodrigues Brianeze,Juliano
da Silva-Santos,Carlos Henrique
Hernández-Figueroa,Hugo Enrique
spellingShingle Rodrigues Brianeze,Juliano
da Silva-Santos,Carlos Henrique
Hernández-Figueroa,Hugo Enrique
MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN
author_facet Rodrigues Brianeze,Juliano
da Silva-Santos,Carlos Henrique
Hernández-Figueroa,Hugo Enrique
author_sort Rodrigues Brianeze,Juliano
title MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN
title_short MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN
title_full MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN
title_fullStr MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN
title_full_unstemmed MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN
title_sort multiobjective evolutionary algorithms applied to microstrip antennas design
description This work presents three of the main evolutionary algorithms: Genetic Algorithm, Evolution Strategy and Evolutionary Programming, applied to microstrip antennas design. Efficiency tests were performed, considering the analysis of key physical and geometrical parameters, evolution type, numerical random generators effects, evolution operators and selection criteria. These algorithms were validated through design of microstrip antennas based on the Resonant Cavity Method, and allow multiobjective optimizations, considering bandwidth, standing wave ratio and relative material permittivity. The optimal results obtained with these optimization processes, were confirmed by CST Microwave Studio commercial package.
publisher Universidad de Tarapacá.
publishDate 2009
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052009000300002
work_keys_str_mv AT rodriguesbrianezejuliano multiobjectiveevolutionaryalgorithmsappliedtomicrostripantennasdesign
AT dasilvasantoscarloshenrique multiobjectiveevolutionaryalgorithmsappliedtomicrostripantennasdesign
AT hernandezfigueroahugoenrique multiobjectiveevolutionaryalgorithmsappliedtomicrostripantennasdesign
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