Design of an artificial magnetic conductor surface using an evolutionary algorithm

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

10 Citations (Scopus)

Abstract

Application of an evolutionary algorithm in designing an artificial electromagnetic conductor (AMC) at 12 GHz is explained in this paper. To do so, a binary version of particle swarm optimization algorithm in connection with EM simulation is used, resulting in an AMC with 29% fractional bandwidth at the operating frequency.

Original languageEnglish
Title of host publicationProceedings of the 2017 International Conference on Electromagnetics in Advanced Applications (ICEAA)
Subtitle of host publicationICEAA '17 : 19th edition
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages885-887
Number of pages3
ISBN (Electronic)9781509044511, 9781509044504
ISBN (Print)9781509044528
DOIs
Publication statusPublished - 2017
Event19th International Conference on Electromagnetics in Advanced Applications, ICEAA 2017 - Verona, Italy
Duration: 11 Sep 201715 Sep 2017

Conference

Conference19th International Conference on Electromagnetics in Advanced Applications, ICEAA 2017
CountryItaly
CityVerona
Period11/09/1715/09/17

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