Use of evolutionary computing algorithms in the design of millimetre-wave metamaterial devices

Gao, Jian-Rong, Zmuidzinas, Jonas, Pisano, Giampaolo ORCID: https://orcid.org/0000-0003-4302-5681 and Thompson, Jonathan 2018. Use of evolutionary computing algorithms in the design of millimetre-wave metamaterial devices. Presented at: SPIE Astronomical Telescopes + Instrumentation, 2018, Austin, TX, USA, 10-15 June 2018. Proceedings, Millimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy IX; 107083H (2018). Proceedings of SPIE , vol.10708 Bellingham, Washington: SPIE, p. 116. 10.1117/12.2312441

Full text not available from this repository.

Abstract

The design of a mesh filter involves the selection of various grid patterns and their assembly into a multiple layer structure to meet the desired transfer characteristics. This can be a laborious process involving modelling tools and multiple iterations before a satisfactory solution is achieved. Here we report on-going investigations into the use of evolutionary computing (specifically the Micro-Genetic Algorithm) in association with electrodynamic modelling algorithms (the Finite Difference, Time Domain method or a propagation matrix method or both) to automatically arrive at a solution given only the target admittance function. Results are reported for designs utilizing both conventional capacitive and inductive grids (for comparison purposes) as well as for grids containing unconventional pixelated shapes. Drawbacks of the approach are also discussed.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Physics and Astronomy
Publisher:	SPIE
ISBN:	9781510619708
ISSN:	1996-756X
Last Modified:	25 Oct 2022 13:42
URI:	https://orca.cardiff.ac.uk/id/eprint/120572

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item