Parameters identification of chaotic systems by quantum-behaved particle swarm optimization

被引：23
|
作者：
Yang, Kaiqiao [1 ]
Maginu, Kenjiro [1 ]
Nomura, Hirosato [1 ]
机构：
[1] Kyushu Inst Technol, Dept Artificial Intelligence, Iizuka, Fukuoka 8208502, Japan
来源：
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS | 2009年 / 86卷 / 12期
关键词：
quantum-behaved particle swarm optimization; optimization; parameter identification; chaotic system;
D O I：
10.1080/00207160903029802
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper applies a novel evolutionary optimization algorithm named quantum-behaved particle swarm optimization (QPSO) to estimate the parameters of chaotic systems, which can be formulated as a multimodal numerical optimization problem with high dimension from the viewpoint of optimization. Moreover, in order to improve the performance of QPSO, an adaptive mechanism is introduced for the parameter beta of QPSO. Finally, numerical simulations are provided to show the effectiveness and efficiency of the modified QPSO method.
引用
收藏
页码：2225 / 2235
页数：11
相关论文
共 50 条
  • [21] Quantum-behaved particle swarm optimization based on solitons
    Saeed Fallahi
    Mohamadreza Taghadosi
    Scientific Reports, 12
  • [22] Quantum-behaved particle swarm optimization based on solitons
    Fallahi, Saeed
    Taghadosi, Mohamadreza
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [23] An improved quantum-behaved particle swarm optimization algorithm
    Li, Panchi
    Xiao, Hong
    APPLIED INTELLIGENCE, 2014, 40 (03) : 479 - 496
  • [24] An Improved Quantum-Behaved Particle Swarm Optimization Algorithm
    Yang, Jie
    Xie, Jiahua
    2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 2, 2010, : 159 - 162
  • [25] Quantum-behaved Particle Swarm Optimization clustering algorithm
    Sun, Jun
    Xu, Wenbo
    Ye, Bin
    ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS, 2006, 4093 : 340 - 347
  • [26] Quantum-behaved Particle Swarm Optimization with mutation operator
    Liu, J
    Xu, WB
    Sun, J
    ICTAI 2005: 17TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2005, : 237 - 240
  • [27] Parameter selection of quantum-behaved Particle Swarm Optimization
    Sun, J
    Xu, WB
    Liu, J
    ADVANCES IN NATURAL COMPUTATION, PT 3, PROCEEDINGS, 2005, 3612 : 543 - 552
  • [28] An improved cooperative quantum-behaved particle swarm optimization
    Li, Yangyang
    Xiang, Rongrong
    Jiao, Licheng
    Liu, Ruochen
    SOFT COMPUTING, 2012, 16 (06) : 1061 - 1069
  • [29] An improved cooperative quantum-behaved particle swarm optimization
    Yangyang Li
    Rongrong Xiang
    Licheng Jiao
    Ruochen Liu
    Soft Computing, 2012, 16 : 1061 - 1069
  • [30] Identification of Uncertain Incommensurate Fractional-Order Chaotic Systems Using an Improved Quantum-Behaved Particle Swarm Optimization Algorithm
    Wei, Jiamin
    Yu, Yongguang
    Cai, Di
    JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS, 2018, 13 (05):
12345