Quantum-behaved particle swarm optimization with chaotic search

被引：11
|
作者：
Yang, Kaiqiao [1 ]
Nomura, Hirosato [1 ]
机构：
[1] Kyushu Inst Technol, Fac Comp Sci & Syst Engn, Iizuka, Fukuoka 8208502, Japan
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2008年 / E91D卷 / 07期
关键词：
PSO; QPSO; chaotic search;
D O I：
10.1093/ietisy/e91-d.7.1963
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The chaotic search is introduced into Quantum-behaved Particle Swarm Optimization (QPSO) to increase the diversity of the swarm in the latter period of the search, so as to help the system escape from local optima. Taking full advantages of the characteristics of ergodicity and randomicity of chaotic variables, the chaotic search is carried out in the neighborhoods of the particles which are trapped into local optima. The experimental results on test functions show that QPSO with chaotic search outperforms the Particle Swarm Optimization (PSO) and QPSO.
引用
收藏
页码：1963 / 1970
页数：8
相关论文
共 50 条
  • [31] 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
  • [32] An improved quantum-behaved particle swarm optimization algorithm
    Li, Panchi
    Xiao, Hong
    APPLIED INTELLIGENCE, 2014, 40 (03) : 479 - 496
  • [33] Quantum-behaved Particle Swarm Optimization with mutation operator
    Liu, J
    Xu, WB
    Sun, J
    ICTAI 2005: 17TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2005, : 237 - 240
  • [34] Parameter selection of quantum-behaved Particle Swarm Optimization
    Sun, J
    Xu, WB
    Liu, J
    ADVANCES IN NATURAL COMPUTATION, PT 3, PROCEEDINGS, 2005, 3612 : 543 - 552
  • [35] An improved cooperative quantum-behaved particle swarm optimization
    Li, Yangyang
    Xiang, Rongrong
    Jiao, Licheng
    Liu, Ruochen
    SOFT COMPUTING, 2012, 16 (06) : 1061 - 1069
  • [36] An improved cooperative quantum-behaved particle swarm optimization
    Yangyang Li
    Rongrong Xiang
    Licheng Jiao
    Ruochen Liu
    Soft Computing, 2012, 16 : 1061 - 1069
  • [37] A chaotic quantum-behaved particle swarm optimization based on lateral inhibition for image matching
    Liu, Fang
    Duan, Haibin
    Deng, Yimin
    OPTIK, 2012, 123 (21): : 1955 - 1960
  • [38] A Modified Quantum-Behaved Particle Swarm Optimization for Constrained Optimization
    Liu, Huaying
    Xu, Shaohua
    Liang, Xingzhu
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION WORKSHOP: IITA 2008 WORKSHOPS, PROCEEDINGS, 2008, : 531 - +
  • [39] Enhancing global search ability of quantum-behaved particle swarm optimization by maintaining diversity of the swarm
    Sun, Jun
    Xu, Wenbo
    Fang, Wei
    ROUGH SETS AND CURRENT TRENDS IN COMPUTING, PROCEEDINGS, 2006, 4259 : 736 - +
  • [40] A Swarm Optimization Genetic Algorithm Based on Quantum-Behaved Particle Swarm Optimization
    Sun, Tao
    Xu, Ming-hai
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2017, 2017
12345