Improved Particle Swarm Optimization with Controllable Velocity-Updating Mode
Journal of Electrical and Electronic Engineering
Volume 5, Issue 2, April 2017, Pages: 68-73
Received: Apr. 11, 2017; Published: Apr. 12, 2017
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Authors
Jiao Weidong, School of Engineering, Zhejiang Normal University, Jinhua, China
Huang Zhijing, School of Engineering, Zhejiang Normal University, Jinhua, China
Yan Gongbiao, Department of Mechanical Engineering, Zhejiang University, Hangzhou, China
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Abstract
At the late evolution stage of the basic particle swarm optimization (BPSO), convergence process starts to slow down and the best fitness particle fluctuates around the globally-optimal solution, which may give rise to decrease on convergence precision of the BPSO. Therefore, an improved algorithm for particle swarm optimization was proposed. The modified version of PSO uses a controllable velocity-updating mode to control velocity of evolved particles, which is expected to be useful for tuning the search for the globally-optimal solution. Optimization examples showed that the improved PSO is superior to the BPSO, on not only convergence precision but also computation expense.
Keywords
Particle Swarm Optimization (PSO), Controllable Velocity-Updating Mode, Velocity-Changing Track
To cite this article
Jiao Weidong, Huang Zhijing, Yan Gongbiao, Improved Particle Swarm Optimization with Controllable Velocity-Updating Mode, Journal of Electrical and Electronic Engineering. Vol. 5, No. 2, 2017, pp. 68-73. doi: 10.11648/j.jeee.20170502.17
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