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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN

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Author(s):
Juliano Rodrigues Brianeze [1] ; Carlos Henrique da Silva-Santos [2] ; Hugo Enrique Hernández-Figueroa [3]
Total Authors: 3
Affiliation:
[1] Universidade Estadual de Campinas. Departamento de Microondas e Óptica - Brasil
[2] Universidade Estadual de Campinas. Departamento de Microondas e Óptica - Brasil
[3] Universidade Estadual de Campinas. Departamento de Microondas e Óptica - Brasil
Total Affiliations: 3
Document type: Journal article
Source: Ingeniare. Rev. chil. ing.; v. 17, n. 3, p. 288-298, 2009-12-00.
Abstract

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. (AU)