Analysis of standard particle swarm optimization algorithm based on Markov chain

被引：2
|
作者：
Pan, Feng [1 ]
Zhou, Qian [1 ]
Li, Wei-Xing [1 ]
Gao, Qi [1 ]
机构：
[1] School of Automation, Beijing Institute of Technology, Beijing 100081, China
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2013年 / 39卷 / 04期
关键词：
D O I：
10.3724/SP.J.1004.2013.00381
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：381 / 389
相关论文
共 50 条
  • [1] Premature convergence of standard particle swarm optimisation algorithm based on Markov chain analysis
    Xu, Gang
    Wu, Zhi-Hua
    Jiang, Mei-Zhen
    International Journal of Wireless and Mobile Computing, 2015, 9 (04) : 377 - 382
  • [2] Exact Markov chain-based runtime analysis of a discrete particle swarm optimization algorithm on sorting and OneMax
    Muhlenthaler, Moritz
    Rass, Alexander
    Schmitt, Manuel
    Wanka, Rolf
    NATURAL COMPUTING, 2022, 21 (04) : 651 - 677
  • [3] Exact Markov chain-based runtime analysis of a discrete particle swarm optimization algorithm on sorting and OneMax
    Moritz Mühlenthaler
    Alexander Raß
    Manuel Schmitt
    Rolf Wanka
    Natural Computing, 2022, 21 : 651 - 677
  • [4] New Evolution Algorithm Based On The Standard Particle Swarm Optimization
    Wang, Lipeng
    Cheng, Yangjie
    Liu, Dong C.
    IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 2011, : 110 - 114
  • [5] The standard particle swarm optimization algorithm convergence analysis and parameter selection
    Chuan, Lin
    Quanyuan, Feng
    ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 3, PROCEEDINGS, 2007, : 823 - +
  • [6] Convergence analysis of standard particle swarm optimization algorithm and its improvement
    Qian, Weiyi
    Li, Ming
    SOFT COMPUTING, 2018, 22 (12) : 4047 - 4070
  • [7] Convergence analysis of standard particle swarm optimization algorithm and its improvement
    Weiyi Qian
    Ming Li
    Soft Computing, 2018, 22 : 4047 - 4070
  • [8] Supply chain scheduling optimization based on genetic particle swarm optimization algorithm
    Feng Xiong
    Peisong Gong
    P. Jin
    J. F. Fan
    Cluster Computing, 2019, 22 : 14767 - 14775
  • [9] Supply chain scheduling optimization based on genetic particle swarm optimization algorithm
    Xiong, Feng
    Gong, Peisong
    Jin, P.
    Fan, J. F.
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 6): : 14767 - 14775
  • [10] An improved particle swarm optimization algorithm for dynamic analysis of chain drive based on multidisciplinary design optimization
    Chai, Mengjiang
    Yuan, Yongliang
    Zhao, Wenjuan
    ADVANCES IN MECHANICAL ENGINEERING, 2019, 11 (03)
12345