Title :
On the hybridization of particle swarm optimization
Author_Institution :
Sch. of Commerce, Sichuan Agric. Univ., Dujiangyan, China
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);
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
DOI :
10.1109/ICFCC.2010.5497489
