Analysis and optimization of electromagnetic leaks using genetic algorithms
A. Nouainia,
F. Mejri and
T. Aguili
Journal of Electromagnetic Waves and Applications, 2022, vol. 36, issue 17, 2519-2535
Abstract:
The growth in the application of electronic devices across a broad spectrum of military, industrial, commercial and consumer sectors has created a new form of pollution known as noise or radio frequency interference or electromagnetic radiation or electromagnetic interference that can cause interference or malfunctioning of equipment. Therefore, there is a greater need for the effective shielding of components from its adverse effects. This review surveys the shielding materials like metals, for the control of electromagnetic radiations. These materials should exhibit effective shielding performance as well as other appropriate physical properties. To meet this challenge, in this article, a computer code based on a genetic algorithm is developed to optimize losses that come from the material surface.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/09205071.2022.2095310 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tewaxx:v:36:y:2022:i:17:p:2519-2535
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tewa20
DOI: 10.1080/09205071.2022.2095310
Access Statistics for this article
Journal of Electromagnetic Waves and Applications is currently edited by Mohamad Abou El-Nasr and Pankaj Kumar Choudhury
More articles in Journal of Electromagnetic Waves and Applications from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().