An Efficient Peer-to-Peer Particle Swarm Optimiser for EMC Enclosure Design

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Title An Efficient Peer-to-Peer Particle Swarm Optimiser for EMC Enclosure Design
Author Scriven, Ian; Lu, Junwei; Lewis, Andrew
Publication Title Proceedings 13th Biennial IEEE Conference on Electromagnetic Field Computation
Editor T.D. Tsiboukis
Year Published 2008
Publisher IEEE
Abstract This paper proposes a method for designing EMC shielding enclosures using a peer-to-peer based distributed optimisation system based on a modified particle swarm optimisation (PSO) algorithm. This optimisation system is used to efficiently obtain optimal solutions to a shielding enclosure design problem by sampling only a small fraction of the total problem space. Such a system would find use in environments where large scale computing resources are not available, such as smaller engineering companies, where it would allow computer-aided design by optimisation using existing resources with little to no financial outlay.
Peer Reviewed No
Published Yes
Publisher URI http://ieeexplore.ieee.org
Alternative URI http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001092
Copyright Statement Copyright 2008 IEEE. 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 to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Conference name The Thirteenth Biennial IEEE Conference on Electromagnetic Field Computation (CEFC 2008)
Location Athens, Greece
Date From 2008-05-11
Date To 2008-05-15
URI http://hdl.handle.net/10072/24744
Date Accessioned 2009-03-05
Date Available 2009-09-11T04:59:53Z
Language en_AU
Research Centre Centre for Wireless Monitoring and Applications
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Electrical and Electronic Engineering; PRE2009-Optimisation
Publication Type Conference Publications (Extract Paper)
Publication Type Code e3

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