The study of two new properties of quantum behaved particle swarm optimization

被引:0
|
作者
机构
[1] Chen, Yuan
[2] Liu, Sanyang
来源
Chen, Yuan | 1600年 / Binary Information Press卷 / 11期
关键词
Multi modal function - QPSO - Two new properties - Unimodal functions - WPSO;
D O I
10.12733/jics20104819
中图分类号
学科分类号
摘要
In this paper, inspired by the efficient global convergence of Quantum Behaved Particle Swarm Optimization (QPSO) which is hardly existence for most evolutionary optimization techniques, we test QPSO algorithm and w Particle Swarm Optimization (wPSO) algorithm on several unimodal functions and several multimodal functions. The experimental results show that QPSO algorithm with good convergence and stability. For the more, we conclude two new properties of QPSO algorithm which are not correct for wPSO algorithm. Copyright © 2014 Binary Information Press.
引用
收藏
相关论文
共 50 条
  • [31] An improved cooperative quantum-behaved particle swarm optimization
    Li, Yangyang
    Xiang, Rongrong
    Jiao, Licheng
    Liu, Ruochen
    SOFT COMPUTING, 2012, 16 (06) : 1061 - 1069
  • [32] An improved cooperative quantum-behaved particle swarm optimization
    Yangyang Li
    Rongrong Xiang
    Licheng Jiao
    Ruochen Liu
    Soft Computing, 2012, 16 : 1061 - 1069
  • [33] Quantum-behaved particle swarm optimization with chaotic search
    Yang, Kaiqiao
    Nomura, Hirosato
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2008, E91D (07): : 1963 - 1970
  • [34] Quantum-behaved Particle Swarm Optimization clustering algorithm
    Sun, Jun
    Xu, Wenbo
    Ye, Bin
    ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS, 2006, 4093 : 340 - 347
  • [35] 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
  • [36] An improved quantum-behaved particle swarm optimization algorithm
    Li, Panchi
    Xiao, Hong
    APPLIED INTELLIGENCE, 2014, 40 (03) : 479 - 496
  • [37] Quantum Behaved Particle Swarm Optimization Algorithm Based on Artificial Fish Swarm
    Yumin, Dong
    Li, Zhao
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [38] MOQPSO: A New Quantum-Behaved Particle Swarm Optimization for Nearest Neighborhood Classification
    Li, Yangyang
    Wang, Yang
    Jiao, Licheng
    PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON), 2016, : 3165 - 3168
  • [39] Two hypotheses and test assumptions based on Quantum-behaved Particle Swarm Optimization (QPSO)
    Chen, Ye
    Yuan, Xiaoping
    Cang, Xiaohui
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 6): : 14359 - 14366
  • [40] Quantum-Behaved Particle Swarm Optimization Algorithm Based on the Two-Body Problem
    YAN Tao
    LIU Fengxian
    ChineseJournalofElectronics, 2019, 28 (03) : 569 - 576