中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Hybrid Particle Swarm Optimization with Differential Evolution for Numerical and Engineering Optimization

文献类型:期刊论文

作者Guo-Han Lin2,3; Jing Zhang3; Zhao-Hua Liu1
刊名International Journal of Automation and Computing
出版日期2018
卷号15期号:1页码:103-114
关键词Particle swarm optimization (PSO) active disturbance rejection control (ADRC) differential evolution algorithm chaotic map, parameter tuning.
ISSN号1476-8186
DOI10.1007/s11633-016-0990-6
英文摘要In this paper, a hybrid particle swarm optimization (PSO) algorithm with differential evolution (DE) is proposed for numerical benchmark problems and optimization of active disturbance rejection controller (ADRC) parameters. A chaotic map with greater Lyapunov exponent is introduced into PSO for balancing the exploration and exploitation abilities of the proposed algorithm.A DE operator is used to help PSO jump out of stagnation. Twelve benchmark function tests from CEC2005 and eight real world optimization problems from CEC2011 are used to evaluate the performance of the proposed algorithm. The results show that statistically, the proposed hybrid algorithm has performed consistently well compared to other hybrid variants. Moreover, the simulation results on ADRC parameter optimization show that the optimized ADRC has better robustness and adaptability for nonlinear discrete-time systems with time delays.
源URL[http://ir.ia.ac.cn/handle/173211/42395]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
2.College of Electrical and Information, Hunan Institute of Engineering, Xiangtan 411101, China
3.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
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GB/T 7714
Guo-Han Lin,Jing Zhang,Zhao-Hua Liu. Hybrid Particle Swarm Optimization with Differential Evolution for Numerical and Engineering Optimization[J]. International Journal of Automation and Computing,2018,15(1):103-114.
APA Guo-Han Lin,Jing Zhang,&Zhao-Hua Liu.(2018).Hybrid Particle Swarm Optimization with Differential Evolution for Numerical and Engineering Optimization.International Journal of Automation and Computing,15(1),103-114.
MLA Guo-Han Lin,et al."Hybrid Particle Swarm Optimization with Differential Evolution for Numerical and Engineering Optimization".International Journal of Automation and Computing 15.1(2018):103-114.

入库方式: OAI收割

来源:自动化研究所

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