Fully Informed Particle Swarm Optimizer: Convergence Analysis

被引:0
|
作者
Cleghorn, Christopher W. [1 ]
Engelbrecht, Andries [1 ]
机构
[1] Univ Pretoria, Dept Comp Sci, Pretoria, South Africa
关键词
STABILITY;
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
At present, the explicit conditions necessary for order-2 stability of the fully informed particle swarm optimizer (FIPS) have not be derived. This paper theoretically derives the criteria for order-2 stability of the FIPS algorithm under the stagnation assumption. The exact relationship between the criteria for order-2 stability and the neighborhood size is presented. The maximum possible convergence region is also presented for an arbitrarily large neighborhood size. Unlike the vast body of theoretical research on particle swarms, this paper validates its conclusions empirically against an assumption free FIPS algorithm. This empirical validation is necessary for a truly accurate representation of FIPS's convergence criteria.
引用
收藏
页码:164 / 170
页数:7
相关论文
共 50 条
  • [11] Stability analysis of the particle dynamics in particle swarm optimizer
    Kadirkamanathan, Visakan
    Selvarajah, Kirusnapillai
    Fleming, Peter J.
    IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2006, 10 (03) : 245 - 255
  • [12] Runtime analysis of a binary particle swarm optimizer
    Sudholt, Dirk
    Witt, Carsten
    THEORETICAL COMPUTER SCIENCE, 2010, 411 (21) : 2084 - 2100
  • [13] Several characteristics analysis of particle swarm optimizer
    Pan, Feng
    Chen, Jie
    Xin, Bin
    Zhang, Juan
    Zidonghua Xuebao/ Acta Automatica Sinica, 2009, 35 (07): : 1010 - 1016
  • [14] Convergence Analysis of Particle Swarm Optimizer and Its Improved Algorithm Based on Velocity Differential Evolution
    Ye, Hongtao
    Luo, Wenguang
    Li, Zhenqiang
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2013, 2013
  • [15] Distance Based Locally Informed Particle Swarm Optimizer with Dynamic Population Size
    Lynn, Nandar
    Suganthan, Ponnuthurai Nagaratnam
    PROCEEDINGS OF THE 18TH ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS, VOL 2, 2015, : 577 - 587
  • [16] A modified particle swarm optimizer
    Shi, YH
    Eberhart, R
    1998 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION - PROCEEDINGS, 1998, : 69 - 73
  • [17] A grouping particle swarm optimizer
    Zhao, Xiaorong
    Zhou, Yuren
    Xiang, Yi
    APPLIED INTELLIGENCE, 2019, 49 (08) : 2862 - 2873
  • [18] Common model analysis and improvement of particle swarm optimizer
    Pan F.
    Chen J.
    Gan M.
    Wang G.
    Cai T.
    Journal of Control Theory and Applications, 2007, 5 (3): : 233 - 238
  • [20] Momentum particle swarm optimizer
    Liu Yu1
    2. School of Software
    3. Dept. of Mathematics
    Journal of Systems Engineering and Electronics, 2005, (04) : 941 - 946