A Multi-Objective Evolutionary Algorithm Based on Decomposition for Optimal Design of Yagi-Uda Antennas
This paper presents a multi-objective evolutionary algorithm based on decomposition (MOEA/D) to design broadband optimal Yagi-Uda antennas. A multi-objective problem is formulated to achieve maximum directivity, minimum voltage standing wave ratio and maximum front-to-back ratio. The algorithm was a...
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| Veröffentlicht in: | IEEE transactions on magnetics 2012-02, Vol.48 (2), p.803-806 |
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| container_title | IEEE transactions on magnetics |
| container_volume | 48 |
| creator | Carvalho, R. Saldanha, R. R. Gomes, B. N. Lisboa, A. C. Martins, A. X. |
| description | This paper presents a multi-objective evolutionary algorithm based on decomposition (MOEA/D) to design broadband optimal Yagi-Uda antennas. A multi-objective problem is formulated to achieve maximum directivity, minimum voltage standing wave ratio and maximum front-to-back ratio. The algorithm was applied to the design of optimal 3 to 10 elements Yagi-Uda antennas, whose optimal Pareto fronts are provided in a single picture. The multi-objective problem is decomposed by Chebyshev decomposition, and it is solved by differential evolution (DE) and Gaussian mutation operators in order to provide a better approximation of the Pareto front. The results show that the implemented MOEA/D is efficient for designing Yagi-Uda antennas. |
| doi_str_mv | 10.1109/TMAG.2011.2174348 |
| format | Article |
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The multi-objective problem is decomposed by Chebyshev decomposition, and it is solved by differential evolution (DE) and Gaussian mutation operators in order to provide a better approximation of the Pareto front. The results show that the implemented MOEA/D is efficient for designing Yagi-Uda antennas.</description><subject>Broadband antennas</subject><subject>Chebyshev approximation</subject><subject>Cross-disciplinary physics: materials science; rheology</subject><subject>decomposition problem</subject><subject>design Yagi-Uda antenna</subject><subject>Exact sciences and technology</subject><subject>Materials science</subject><subject>MOEA/D</subject><subject>multi-objective optimization</subject><subject>Other topics in materials science</subject><subject>Pareto optimization</subject><subject>Physics</subject><subject>Vectors</subject><subject>Yagi-Uda antennas</subject><issn>0018-9464</issn><issn>1941-0069</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kLFOwzAQhi0EEqXwAIjFC2PKXeI48RhKKUiturQDU-Q6dnCVxpWdVurbk6io0-n0f__p9BHyjDBBBPG2XhbzSQyIkxgzlrD8hoxQMIwAuLglIwDMI8E4uycPIez6laUII1IXdHlsOhuttjutOnvSdHZyzbGzrpX-TIumdt52v3v6LoOuqGvph1Zuf3DBDgw1ztPVobN72fRJsHVLnaE_srbRppK0aDvdtjI8kjsjm6Cf_ueYbD5n6-lXtFjNv6fFIlIMWBeZDJNEpCAzyIWKRRYzgFRkspIyTjHjJlFcMqGN0VwrsxXIDCiNqsIUsjQZE7zcVd6F4LUpD77_zZ9LhHIwVQ6mysFU-W-q77xeOgcZlGyMl62y4VqMU8EExLznXi6c1VpfY44J55gnf7NychU</recordid><startdate>20120201</startdate><enddate>20120201</enddate><creator>Carvalho, R.</creator><creator>Saldanha, R. 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C.</creatorcontrib><creatorcontrib>Martins, A. X.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>IEEE transactions on magnetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Carvalho, R.</au><au>Saldanha, R. R.</au><au>Gomes, B. N.</au><au>Lisboa, A. C.</au><au>Martins, A. X.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Multi-Objective Evolutionary Algorithm Based on Decomposition for Optimal Design of Yagi-Uda Antennas</atitle><jtitle>IEEE transactions on magnetics</jtitle><stitle>TMAG</stitle><date>2012-02-01</date><risdate>2012</risdate><volume>48</volume><issue>2</issue><spage>803</spage><epage>806</epage><pages>803-806</pages><issn>0018-9464</issn><eissn>1941-0069</eissn><coden>IEMGAQ</coden><abstract>This paper presents a multi-objective evolutionary algorithm based on decomposition (MOEA/D) to design broadband optimal Yagi-Uda antennas. A multi-objective problem is formulated to achieve maximum directivity, minimum voltage standing wave ratio and maximum front-to-back ratio. The algorithm was applied to the design of optimal 3 to 10 elements Yagi-Uda antennas, whose optimal Pareto fronts are provided in a single picture. The multi-objective problem is decomposed by Chebyshev decomposition, and it is solved by differential evolution (DE) and Gaussian mutation operators in order to provide a better approximation of the Pareto front. The results show that the implemented MOEA/D is efficient for designing Yagi-Uda antennas.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TMAG.2011.2174348</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | IEEE transactions on magnetics, 2012-02, Vol.48 (2), p.803-806 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Broadband antennas Chebyshev approximation Cross-disciplinary physics: materials science rheology decomposition problem design Yagi-Uda antenna Exact sciences and technology Materials science MOEA/D multi-objective optimization Other topics in materials science Pareto optimization Physics Vectors Yagi-Uda antennas |
| title | A Multi-Objective Evolutionary Algorithm Based on Decomposition for Optimal Design of Yagi-Uda Antennas |
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