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Decentralised distributed multiple objective particle swarm optimisation using peer to peer networks

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Decentralised distributed multiple objective particle swarm optimisation using peer to peer networks
—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.
Ian Scriven, Andrew Lewis, David Ireland, Junwei L
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where CEC
Authors Ian Scriven, Andrew Lewis, David Ireland, Junwei Lu
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