DocumentCode
2904093
Title
A Parallel Chaos Particle Swarm Optimization
Author
Yang Dao Ping ; Kai, Zhang ; Fan Lin Bo ; Ming, Zhao
Author_Institution
Dept. of Comput. Sci., Zunyinormal Coll., Zunyi, China
Volume
3
fYear
2009
fDate
4-5 July 2009
Firstpage
645
Lastpage
648
Abstract
To solve Particle Swarm Optimization (PSO) to plunge into the local extremums, this paper introduces parallel calculation and chaos operator and puts forward a parallel chaos particle swarm optimization. This method divides particle population into subpopulations for asynchronous and parallel chaos optimization. So it improves the search speed and keeps population diversity to avoid premature. The simulation results show this method is better than PSO.
Keywords
chaos; particle swarm optimisation; asynchronous optimization; parallel chaos particle swarm optimization; particle population; population diversity; search speed; Application software; Chaos; Computer science; Educational institutions; Evolutionary computation; Industrial engineering; Optimization methods; Particle swarm optimization; Particle tracking; Reliability engineering; chaos; parallel calculation; particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3682-8
Type
conf
DOI
10.1109/ESIAT.2009.349
Filename
5199777
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