Optimization of Cassegrain Systems Using Genetic Algorithms

This paper is a proposal for optimization of a parabolic radiation system, in its variant Cassegrain, using Genetic Algorithms (GA). This new mathematical tool breaks through today in the field of electromagnetism, coming to be used as a successful way of solving problems of various antennas. In rec...

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Main Authors: Carlos Santos Rodríguez, Ana Teresa Aday Martínez
Format: Article
Language:Spanish
Published: Universidad Tecnológica de La Habana José Antonio Echeverría, Cujae 2012-05-01
Series:Revista Cubana de Ingeniería
Subjects:
Online Access:http://rci.cujae.edu.cu/index.php/rci/article/view/72
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author Carlos Santos Rodríguez
Ana Teresa Aday Martínez
author_facet Carlos Santos Rodríguez
Ana Teresa Aday Martínez
author_sort Carlos Santos Rodríguez
collection DOAJ
description This paper is a proposal for optimization of a parabolic radiation system, in its variant Cassegrain, using Genetic Algorithms (GA). This new mathematical tool breaks through today in the field of electromagnetism, coming to be used as a successful way of solving problems of various antennas. In recent years there have appeared different softwares implementing the GA, this is the case of MATLAB 7.8.0. This software is used in this material to optimize a phenomenon that limits the good performance of the Cassegrain system, central blockage. The article is an attempt to introduce the use of the AG and its ability to multi-objective optimization of these systems, without any references of this topic in our country. It also uses reflectors analysis tool ICARA, which allows the simulation of radiation characteristics of different configurations of parabolic antennas for further analysis.
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spelling doaj.art-a3dcebe7c00f4b47922665f94e8cc1442022-12-22T01:46:18ZspaUniversidad Tecnológica de La Habana José Antonio Echeverría, CujaeRevista Cubana de Ingeniería2223-17812012-05-0131636910.1234/rci.v3i1.7272Optimization of Cassegrain Systems Using Genetic AlgorithmsCarlos Santos Rodríguez0Ana Teresa Aday Martínez1Instituto de Meteorología, La HabanaUnión Eléctrica, La HabanaThis paper is a proposal for optimization of a parabolic radiation system, in its variant Cassegrain, using Genetic Algorithms (GA). This new mathematical tool breaks through today in the field of electromagnetism, coming to be used as a successful way of solving problems of various antennas. In recent years there have appeared different softwares implementing the GA, this is the case of MATLAB 7.8.0. This software is used in this material to optimize a phenomenon that limits the good performance of the Cassegrain system, central blockage. The article is an attempt to introduce the use of the AG and its ability to multi-objective optimization of these systems, without any references of this topic in our country. It also uses reflectors analysis tool ICARA, which allows the simulation of radiation characteristics of different configurations of parabolic antennas for further analysis.http://rci.cujae.edu.cu/index.php/rci/article/view/72antenaOptimizaciónAG multiobjetivosistema Cassegrainbloqueo centralpérdidas por bloqueo
spellingShingle Carlos Santos Rodríguez
Ana Teresa Aday Martínez
Optimization of Cassegrain Systems Using Genetic Algorithms
Revista Cubana de Ingeniería
antena
Optimización
AG multiobjetivo
sistema Cassegrain
bloqueo central
pérdidas por bloqueo
title Optimization of Cassegrain Systems Using Genetic Algorithms
title_full Optimization of Cassegrain Systems Using Genetic Algorithms
title_fullStr Optimization of Cassegrain Systems Using Genetic Algorithms
title_full_unstemmed Optimization of Cassegrain Systems Using Genetic Algorithms
title_short Optimization of Cassegrain Systems Using Genetic Algorithms
title_sort optimization of cassegrain systems using genetic algorithms
topic antena
Optimización
AG multiobjetivo
sistema Cassegrain
bloqueo central
pérdidas por bloqueo
url http://rci.cujae.edu.cu/index.php/rci/article/view/72
work_keys_str_mv AT carlossantosrodriguez optimizationofcassegrainsystemsusinggeneticalgorithms
AT anateresaadaymartinez optimizationofcassegrainsystemsusinggeneticalgorithms