Decentralised Distributed Multiple Objective Particle Swarm Optimisation Using Peer to Peer Networks

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Title Decentralised Distributed Multiple Objective Particle Swarm Optimisation Using Peer to Peer Networks
Author Scriven, Ian; Lewis, Andrew; Ireland, David John; Lu, Junwei
Publication Title IEEE Congress on Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence).
Editor Michalewicz and Reynolds
Year Published 2008
Place of publication Online
Publisher Online
Abstract This paper describes a distributed particle swarm optimisation algorithm (PSO) based on peer-to-peer computer networks. A number of modifications are made to the more traditional synchronous PSO algorithm to allow for fully decentralised, scalable and fault-tolerent operation. The modified algorithm uses staggered propagation of objective-space knowledge between sub-swarms to eliminate the need for a centralised data store. Analytical test functions are used to examine the performance of the proposed algorithm and its variations in comparison with a basic synchronous PSO implementation. The results clearly show the feasibility of decentralised particle swarm optimisation.
Peer Reviewed Yes
Published Yes
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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.
ISBN 978-1-4244-1822-0
Conference name 2008 IEEE World Congress on Computational Intelligence
Location Hong Kong, China
Date From 2008-06-01
Date To 2008-06-06
Date Accessioned 2008-07-09
Language en_AU
Research Centre Queensland Micro and Nanotechnology Centre
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Optimisation
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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