DocumentCode
1651318
Title
Predictive-Velocity Modified Particle Swarm Optimization
Author
Zhihua, Cui ; Xingjuan, Cai ; Jianchao, Zeng ; Guoji, Sun
Author_Institution
Taiyuan Univ. of Sci. & Technol., Taiyuan
fYear
2007
Firstpage
780
Lastpage
784
Abstract
Velocity update equation of standard particle swarm optimization uses only the size information of previous velocity vector whereas ignoring the corresponding direction information. By adding predictive velocity, a new predictive-velocity modified particle swarm optimization (PVPSO) which using the size and direction information of velocity vectors to estimate and correct particle´s next generation positions is proposed. Theoretical analysis proofs the new algorithm owns an enhanced global search capability. The optimization computing of some examples is made to show that the PVPSO has better global search capacity and rapid convergence speed.
Keywords
particle swarm optimisation; global search capability; particle swarm optimization; predictive-velocity; Computational modeling; Computer applications; Computer simulation; Equations; Kalman filters; Laboratories; Manufacturing systems; Particle swarm optimization; Sun; Systems engineering and theory; Computational Efficiency; Particle Swarm Optimization; Predictive-Velocity;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2007. CCC 2007. Chinese
Conference_Location
Hunan
Print_ISBN
978-7-81124-055-9
Electronic_ISBN
978-7-900719-22-5
Type
conf
DOI
10.1109/CHICC.2006.4347338
Filename
4347338
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