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

File Size Format
51392_1.pdf 139Kb Adobe PDF View
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
Publisher URI http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4625778
Alternative URI http://dx.doi.org/10.1109/CEC.2008.4631191
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
URI http://hdl.handle.net/10072/22901
Date Accessioned 2008-07-09
Date Available 2011-05-04T09:53:25Z
Language en_AU
Research Centre Centre for Wireless Monitoring and Applications
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Optimisation
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

Brief Record

Griffith University copyright notice