DocumentCode
519653
Title
On the hybridization of particle swarm optimization
Author
Yang, Qin
Author_Institution
Sch. of Commerce, Sichuan Agric. Univ., Dujiangyan, China
Volume
2
fYear
2010
fDate
21-24 May 2010
Abstract
In the last decade, particle swam optimization (PSO) become popular for its simple concept, easy implementation and effectiveness. In order to enhance the performance of PSO, this paper presents an improved PSO variant, called IPSO, by hybridization of standard PSO and a mutation scheme. Simulation studies on ten famous benchmark problems show that IPSO surpasses standard PSO in all test cases.
Keywords
particle swarm optimisation; PSO performance; mutation scheme; particle swarm optimization hybridization; Benchmark testing; Birds; Business; Computational intelligence; Computational modeling; Convergence; Entropy; Genetic mutations; Particle swarm optimization; Space exploration; mutation; optimization; particle swarm optimization (PSO);
fLanguage
English
Publisher
ieee
Conference_Titel
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5821-9
Type
conf
DOI
10.1109/ICFCC.2010.5497489
Filename
5497489
Link To Document