Improved Artificial Fish Swarm Algorithm and its Application in System Identification

被引：0
|
作者：
Zhu, Junlin [1 ]
Liu, Hui [1 ]
Wang, Zulin [1 ]
机构：
[1] Jiangxi Univ Sci & Technol, Coll Elect Engn & Automat, Ganzhou, Jiangxi, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC & MECHANICAL ENGINEERING AND INFORMATION TECHNOLOGY (EMEIT-2012) | 2012年 / 23卷
关键词：
Artificial Fish Swarm Algorithm; Needle-in-haystack Problem; Parameter Identification;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to solve the traditional identification method limitations, This paper presents an improved artificial fish swarm algorithm, Through the experiment of a typical Needle-in-haystack problem, Show that the improved artificial fish swarm algorithm has better ability of global optimization, faster convergence speed, higher accuracy of optimization. This algorithm is applied to the system parameter identification, Through to the linear system and nonlinear system parameter identification simulation, Results show that the algorithm has fast convergence, high accuracy advantages, Has important application value in Engineering.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] An Improved Artificial Fish Swarm Algorithm and Its Application
    Wang, Mantao
    Tang, Haitao
    Mu, Jong
    Wei, Peng
    PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION, INFORMATION AND CONTROL (MEICI 2016), 2016, 135 : 24 - 33
  • [2] An Improved Artificial Fish Swarm Algorithm and Its Application
    Xin, Guan
    Xin, Yin Yi
    MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 4434 - 4438
  • [3] An Improved Artificial Fish Swarm Algorithm and Application
    Luan, Xinyuan
    Jin, Biyao
    Liu, Tingzhang
    Zhang, Yingqi
    COMPUTATIONAL INTELLIGENCE, NETWORKED SYSTEMS AND THEIR APPLICATIONS, 2014, 462 : 99 - 110
  • [4] An improved artificial fish swarm algorithm and application
    Luan, Xinyuan
    Jin, Biyao
    Liu, Tingzhang
    Zhang, Yingqi
    Communications in Computer and Information Science, 2014, 462 : 99 - 110
  • [5] An artificial fish swarm algorithm and its application
    Liu, Shuguang
    Li, Yueguang
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING, 2015, 121 : 237 - 240
  • [6] An Improved Artificial Fish Swarm Algorithm and Its Application to Packing and Layout Problems
    Li, Guangqiang
    Yang, Yawei
    Zhao, Tinglu
    Peng, Peixiang
    Zhou, Yiran
    Hu, Ying
    Guo, Chen
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 9824 - 9828
  • [7] An Improved Artificial Fish Swarm Algorithm and Its Application in Multiple Sequence Alignment
    Yang, Wei-Hong
    JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2014, 11 (03) : 888 - 892
  • [8] Improved artificial Fish Swarm algorithm and its application in optimal design of truss structure
    Li, Yancang
    Ban, Chenguang
    Zhou, Shujing
    Peng, Shuanghong
    Zhang, Xiaohan
    Journal of Theoretical and Applied Information Technology, 2012, 45 (01) : 174 - 178
  • [9] Improved Artificial Fish Swarm Algorithm
    Zhang Chao
    Zhang Feng-ming
    Li Fei
    Wu Hu-sheng
    PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2014, : 748 - +
  • [10] Improved artificial fish swarm algorithm for parameter identification of hydroelectric turbine-conduit system
    Liu, Changyu
    He, Xuesong
    Li, Chongwei
    Wang, Zhan
    Zhang, Enbo
    Yan, Qiurong
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2013, 33 (11): : 54 - 58
12345