Genetic algorithm synthesis of metasurfaces with improved similarity and robustness for high-power reflector antenna applications

Jeremy A. Bossard, Clinton P. Scarborough, Micah D. Gregory, Cooper S. Cicero, Douglas H. Werner, Scott F. Griffiths, Matthew L. Ketner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A metamaterial reflector antenna is designed for robustness under high-power operating conditions by synthesizing pixelized metasurface geometries with minimized maximum field enhancement factor (MFEF) using a binary genetic algorithm (GA) stochastic optimizer. A metric is also included in the optimization to select unit cell geometries that share a high similarity among one another in order to improve the reflecting properties of the metasurface.

Original languageEnglish (US)
Title of host publication2015 IEEE Antennas and Propagation Society International Symposium, APS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1086-1087
Number of pages2
ISBN (Electronic)9781479978151
DOIs
StatePublished - Oct 22 2015
EventIEEE Antennas and Propagation Society International Symposium, APS 2015 - Vancouver, Canada
Duration: Jul 19 2015Jul 24 2015

Publication series

NameIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume2015-October
ISSN (Print)1522-3965

Other

OtherIEEE Antennas and Propagation Society International Symposium, APS 2015
CountryCanada
CityVancouver
Period7/19/157/24/15

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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