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Meander Line Antenna Design Using an Adaptive Genetic Algorithm
Title: | Meander Line Antenna Design Using an Adaptive Genetic Algorithm |
Authors: | Sato, Yuki Browse this author | Campelo, Felipe Browse this author | Igarashi, Hajime Browse this author →KAKEN DB |
Keywords: | Adaptive genetic algorithm | meander line antenna (MLA) | moment method | optimization |
Issue Date: | May-2013 |
Publisher: | IEEE-Inst Electrical Electronics Engineers Inc |
Journal Title: | IEEE Transactions on Magnetics |
Volume: | 49 |
Issue: | 5 |
Start Page: | 1889 |
End Page: | 1892 |
Publisher DOI: | 10.1109/TMAG.2013.2239979 |
Abstract: | This paper presents the optimization of a meander line antenna finite-element model by means of an adaptive genetic algorithm (GA). To search for optimal antenna configurations, the present method employs a GA with an adaptive method that adjusts the characteristics of its selection, crossover, and mutation operators in order to maintain a diverse set of high-quality candidate solutions during its execution. It is shown that the present method can find an optimal solution faster than the conventional GA. Moreover, the fitness values of the optimal solutions obtained by the present method are better than those obtained by conventional GA. |
Rights: | © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Type: | article (author version) |
URI: | http://hdl.handle.net/2115/53102 |
Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 五十嵐 一
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