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 ran...

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Autores principales: Rodrigues Brianeze,Juliano, da Silva-Santos,Carlos Henrique, Hernández-Figueroa,Hugo Enrique
Lenguaje:English
Publicado: Universidad de Tarapacá. 2009
Materias:
Microstrip antennas
computational electromagnetism
evolutionary algorithms
multiobjective optimization
computing simulation
Acceso en línea: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 Chile
collection Scielo Chile
language English
topic Microstrip antennas
computational electromagnetism
evolutionary algorithms
multiobjective optimization
computing simulation
spellingShingle Microstrip antennas
computational electromagnetism
evolutionary algorithms
multiobjective optimization
computing simulation
Rodrigues Brianeze,Juliano
da Silva-Santos,Carlos Henrique
Hernández-Figueroa,Hugo Enrique
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.
author Rodrigues Brianeze,Juliano
da Silva-Santos,Carlos Henrique
Hernández-Figueroa,Hugo Enrique
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
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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