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
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;
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
DOI :
10.1109/ESIAT.2009.349
