Orthogonal learning particle swarm optimization for power electronic circuit optimization with free search range

2011 ◽  
Author(s):  
Zhi-hui Zhan ◽  
Jun Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Electronic Circuit ◽  
Particle Swarm ◽  
Power Electronic ◽  
Circuit Optimization ◽  
Search Range ◽  
Swarm Optimization ◽  
Free Search ◽  
Orthogonal Learning

scholarly journals Orthogonal Learning Particle Swarm Optimization

2011 ◽  
Vol 15 (6) ◽  
pp. 832-847 ◽  
Author(s):  
Zhi-Hui Zhan ◽  
Jun Zhang ◽  
Yun Li ◽  
Yu-Hui Shi
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Orthogonal Learning

Parameter Identification of Chaotic Systems by a Novel Dual Particle Swarm Optimization

2016 ◽  
Vol 26 (02) ◽  
pp. 1650024 ◽  
Author(s):  
Yunxiang Jiang ◽  
Francis C. M. Lau ◽  
Shiyuan Wang ◽  
Chi K. Tse
Keyword(s):  
Particle Swarm Optimization ◽  
Parameter Identification ◽  
Chaotic Systems ◽  
Particle Swarm ◽  
Original System ◽  
Pso Algorithm ◽  
Search Range ◽  
Swarm Optimization ◽  
Estimation System ◽  
The Lorenz System

In this paper, we propose a dual particle swarm optimization (PSO) algorithm for parameter identification of chaotic systems. We also consider altering the search range of individual particles adaptively according to their objective function value. We consider both noiseless and noisy channels between the original system and the estimation system. Finally, we verify the effectiveness of the proposed dual PSO method by estimating the parameters of the Lorenz system using two different data acquisition schemes. Simulation results show that the proposed method always outperforms the traditional PSO algorithm.

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