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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Detalles Bibliográficos
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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Sumario: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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