MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN
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| Format: | Artículo científico |
| Language: | en |
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Universidad de Tarapacá
2009
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| _version_ | 1876444289112735744 |
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| author | Juliano Rodrigues Brianeze |
| author_facet | Juliano Rodrigues Brianeze |
| contents | MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN Juliano Rodrigues Brianeze Carlos Henrique da Silva-Santos Hugo Enrique Hernández-Figueroa Ingeniería Microstrip antennas computing simulation evolutionary algorithms multiobjective optimization computational electromagnetism 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 optimalresults obtained with these optimization processes, were confirmed by CST Microwave Studio commercial package. 2009 artículo científico 0718-3291 https://www.redalyc.org/articulo.oa?id=77212231002 en http://www.redalyc.org/revista.oa?id=772 Ingeniare. Revista Chilena de Ingeniería application/pdf Universidad de Tarapacá Ingeniare. Revista Chilena de Ingeniería (Chile) Num.3 Vol.17 |
| format | Artículo científico |
| id | redalyc_77212231002 |
| institution | Redalyc |
| language | en |
| publishDate | 2009 |
| publisher | Universidad de Tarapacá |
| spellingShingle | MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN Juliano Rodrigues Brianeze Ingeniería Microstrip antennas computing simulation evolutionary algorithms multiobjective optimization computational electromagnetism MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN Juliano Rodrigues Brianeze Carlos Henrique da Silva-Santos Hugo Enrique Hernández-Figueroa Ingeniería Microstrip antennas computing simulation evolutionary algorithms multiobjective optimization computational electromagnetism 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 optimalresults obtained with these optimization processes, were confirmed by CST Microwave Studio commercial package. 2009 artículo científico 0718-3291 https://www.redalyc.org/articulo.oa?id=77212231002 en http://www.redalyc.org/revista.oa?id=772 Ingeniare. Revista Chilena de Ingeniería application/pdf Universidad de Tarapacá Ingeniare. Revista Chilena de Ingeniería (Chile) Num.3 Vol.17 |
| title | MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS APPLIED TO MICROSTRIP ANTENNAS DESIGN |
| topic | Ingeniería Microstrip antennas computing simulation evolutionary algorithms multiobjective optimization computational electromagnetism |
| url | https://www.redalyc.org/articulo.oa?id=77212231002 |