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.

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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