DocumentCode
2148763
Title
Modified particle swarm optimization for unconstrained optimization
Author
Zhou, Zhigang
Author_Institution
Dept. of Comput. Sci. & Technol., Dezhou Univ., Dezhou, China
Volume
5
fYear
2010
fDate
26-28 Feb. 2010
Firstpage
377
Lastpage
380
Abstract
This paper presents a modified particle swarm optimization (PSO) algorithm to improve the performance of standard PSO. The proposed approach is called HPSO, which modifies the original velocity updating equation of PSO. In order to verify the performance of HPSO, we test it on ten well-known benchmark optimization functions. The simulation results show that HPSO obtains better performance than standard PSO on majority of test functions.
Keywords
particle swarm optimisation; benchmark optimization functions; modified particle swarm optimization; test functions; unconstrained optimization; velocity updating equation; Benchmark testing; Birds; Computational intelligence; Computational modeling; Computer science; Equations; Learning systems; Particle swarm optimization; Space exploration; evolutionary optimization; particle swarm optimization (PSO); unconstrained optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5585-0
Electronic_ISBN
978-1-4244-5586-7
Type
conf
DOI
10.1109/ICCAE.2010.5451219
Filename
5451219
Link To Document