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dc.creatorRodrigues Brianeze,Juliano
dc.creatorda Silva-Santos,Carlos Henrique
dc.creatorHernández-Figueroa,Hugo Enrique
dc.date2009-12-01
dc.date.accessioned2019-04-24T21:28:01Z
dc.date.available2019-04-24T21:28:01Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-33052009000300002
dc.identifier.urihttp://revistaschilenas.uchile.cl/handle/2250/58566
dc.descriptionThis 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.
dc.formattext/html
dc.languageen
dc.publisherUniversidad de Tarapacá.
dc.relation10.4067/S0718-33052009000300002
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceIngeniare. Revista chilena de ingeniería v.17 n.3 2009
dc.subjectMicrostrip antennas
dc.subjectcomputational electromagnetism
dc.subjectevolutionary algorithms
dc.subjectmultiobjective optimization
dc.subjectcomputing simulation
dc.titleMULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN


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