Title :
Predictive-Velocity Modified Particle Swarm Optimization
Author :
Zhihua, Cui ; Xingjuan, Cai ; Jianchao, Zeng ; Guoji, Sun
Author_Institution :
Taiyuan Univ. of Sci. & Technol., Taiyuan
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;
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
DOI :
10.1109/CHICC.2006.4347338