DocumentCode
3357300
Title
A Multi-Agent Particle Swarm Optimization Framework with Applications
Author
Liu, Xiyu ; Xu, Ke ; Liu, Hong
Author_Institution
Sch. of Manage., Shandong Normal Univ., Jinan
fYear
2006
fDate
3-5 Aug. 2006
Firstpage
1
Lastpage
6
Abstract
The traditional particle swarm optimization technique is incorporated with multi-agent systems. A new PSO framework HMAS is presented with particles as agents. Actions and properties of agents are defined. We also present a test application in cluster analysis which extends the powerful algorithm CLARA and CLARANS. Implementation is given with experiment data. The results show that the new HMAS has better performance in searching the sample space than the non-agent systems
Keywords
data mining; multi-agent systems; particle swarm optimisation; CLARA; CLARANS; cluster analysis; data mining; multiagent particle swarm optimization; multiagent systems; Algorithm design and analysis; Birds; Clustering algorithms; Computer architecture; Data analysis; Intelligent agent; Multiagent systems; Particle swarm optimization; Stochastic processes; Testing; Cluster analysis; Data mining; Multi-agent systems(MAS); Particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Applications, 2006 1st International Symposium on
Conference_Location
Urumqi
Print_ISBN
1-4244-0326-x
Electronic_ISBN
1-4244-0326-x
Type
conf
DOI
10.1109/SPCA.2006.297580
Filename
4079151
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