Design of single-band and dual-band AMC surfaces by combining a micro-genetic algorithm with the spectral FDTD method

Yuehe Ge, Karu P. Esselle

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Abstract

We present a GA/FDTD optimisation technique and its application in the design of single and multi-band artificial magnetic conducting (AMC) surfaces. The technique is a combination of a genetic algorithm (GA) and the finite-difference time-domain (FDTD) method. For the efficiency purpose, a micro-genetic algorithm (MGA) is applied to optimize the geometry of an AMC unit cell, and the fitness functions are evaluated by the FDTD method. The effectiveness of the algorithm is demonstrated by designing two AMC surfaces: a single-band AMC at 5.5 GHz and a dual-band AMC at 5.5 GHz and 12.0 GHz.
Original languageEnglish
Title of host publicationProceedings of 2006 IEEE Antennas and Propagation Society International Symposium
Place of PublicationUSA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Print)1424401232
DOIs
Publication statusPublished - 2006
Event2006 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science and AMEREM Meetings - Albuquerque, United States
Duration: 9 Jul 200614 Jul 2006

Conference

Conference2006 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science and AMEREM Meetings
CountryUnited States
CityAlbuquerque
Period9/07/0614/07/06

Bibliographical note

Copyright 2006 IEEE. Reprinted from IEEE Antennas and Propagation Society International Symposium 2006. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

  • conducting bodies
  • electromagnetic wave reflection
  • finite difference time-domain analysis
  • genetic algorithms
  • metamaterials

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