An improved cooperative particle swarm optimization and its application

被引：17
|
作者：
Chen, Debao [1 ]
Zhao, Chunxia [2 ]
Zhang, Haofeng [2 ]
机构：
[1] Huai Bei Normal Univ, Sch Phys & Elect Informat, Huaibei 235000, Peoples R China
[2] NanJing Univ Sci & Technol, Comp Inst, Nanjing 210094, Peoples R China
来源：
NEURAL COMPUTING & APPLICATIONS | 2011年 / 20卷 / 02期
关键词：
Particle swarm optimization (PSO); Multi-cooperative particle swarm (MCPSO); Evolutionary computation (EC); Artificial neural network (ANN);
D O I：
10.1007/s00521-010-0503-4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A powerful cooperative evolutionary particle swarm optimization (PSO) algorithm based on two swarms with different behaviors to improve the global performance of PSO is proposed. In this method, one swarm tracks the best position and the other leaves the worst position of them; the best and the worst solutions of the two swarms are exchanged in the common blackboard and the information can be flowed mutually between them. The diversity is maintained if the two swarms are regarded as a whole. To show the effectiveness of the given algorithm, five benchmark functions and two forward ANNs with three layers are performed; the results of the proposed algorithms are compared with standard PSO, MCPSO and NPSO.
引用
收藏
页码：171 / 182
页数：12
相关论文
共 50 条
  • [1] An improved cooperative particle swarm optimization and its application
    Debao Chen
    Chunxia Zhao
    Haofeng Zhang
    [J]. Neural Computing and Applications, 2011, 20 : 171 - 182
  • [2] An Improved Quantum Particle Swarm Optimization and its Application
    Xuan, Jiao
    Ming, Huang
    [J]. PROCEEDINGS OF 2017 6TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2017), 2017, : 28 - 31
  • [3] A Improved Particle Swarm optimization and Its Application in the Parameter Estimation
    Wu Tiebin
    Cheng Yun
    Hu Zhikun
    Zhou Taoyun
    Liu Yunlian
    [J]. MECHATRONICS, ROBOTICS AND AUTOMATION, PTS 1-3, 2013, 373-375 : 1150 - +
  • [4] An Improved Chaotic Particle Swarm Optimization and Its Application in Investment
    Zhang Hao
    Shen Ji-hong
    Zhang Tie-nan
    Li Yang
    [J]. PROCEEDINGS OF THE 2008 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, VOL 1, 2008, : 124 - +
  • [5] An Improved Particle Swarm Optimization and Application
    Zhou, Dongsheng
    Wang, Lin
    Wei, Jiang
    [J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND AUTOMATIC CONTROL, 2016, 367 : 1007 - 1014
  • [6] Improved ant colony optimization based on particle swarm optimization and its application
    Zhang, Chao
    Li, Qing
    Chen, Peng
    Yang, Shou-Gong
    Yin, Yi-Xin
    [J]. Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing, 2013, 35 (07): : 955 - 960
  • [7] An Improved Quantum Particle Swarm Optimization and Its Application in System Identification
    Huang Yu
    Xiao Tiantian
    Han Pu
    [J]. 26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 1132 - 1134
  • [8] An Improved Particle Swarm Algorithm and Its Application in Grinding Process Optimization
    Chen Zhisheng
    Li Yonggang
    [J]. PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 5, 2008, : 2 - +
  • [9] Multi-subswarm cooperative particle swarm optimization algorithm and its application
    Tang, Yu
    Huang, Kaicheng
    Tan, Zhiping
    Fang, Mingwei
    Huang, Huasheng
    [J]. INFORMATION SCIENCES, 2024, 677
  • [10] Research on Improved Particle Swarm Algorithms and Its Application in Function Optimization
    Tang Chao-li
    Huang You-rui
    Qu Li-guo
    Ling Liu-yi
    [J]. 2011 INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND MULTIMEDIA COMMUNICATION, 2011, : 341 - 344
12345