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

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Author(s)
Scriven, Ian
Lu, Junwei
Lewis, Andrew
Year published
2008
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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.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.
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Conference Title
Proceedings 13th Biennial IEEE Conference on Electromagnetic Field Computation
Copyright Statement
© 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.
Subject
Electrical and Electronic Engineering not elsewhere classified
Physical Sciences
Engineering