Particle Swarm Optimization Algorithm Based on Two Swarm Evolution

被引：0
|
作者：
Wang Li [1 ]
Zhang Jianfeng [2 ]
Li Xin [2 ]
Sun Guoqiang [2 ]
机构：
[1] Univ Air Force, Engn Coll Aeronaut & Astronaut, Xian 710038, Peoples R China
[2] Aviat Univ Air Force, Changchun 130022, Peoples R China
来源：
2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年
关键词：
Particle swarm; Inertia weight; Swarm intelligence; Optimization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new particle swarm optimization algorithm that based on two swarm's evolution is proposed. In one swarm the linear decreasing weight is used, in the other swarm the random inertia weight is adopted. The random disturbance is added to the formula of position update. During the running time, a new swarm is generated by the contest of two swarm's evolution. The ability of particle swarm optimization algorithm to break away from the local optimum is improved greatly. The experiment results show that the new algorithm can greatly improve the global convergence ability and enhance the rate of convergence.
引用
下载
收藏
页码：1200 / 1204
页数：5
相关论文
共 50 条
  • [1] An improved two-swarm based particle swarm optimization algorithm
    Li, Ting
    Lai, Xuzhi
    Wu, Min
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 3129 - +
  • [2] Chaotic particle swarm optimization algorithm based on the essence of particle swarm
    Lin, Chuan
    Feng, Quanyuan
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2007, 42 (06): : 665 - 669
  • [3] Hybrid algorithm based on particle swarm optimization and differential evolution
    Yu, Yufeng
    Xu, Chen
    Li, Guo
    Li, Jingwen
    Journal of Computational Information Systems, 2014, 10 (11): : 4619 - 4627
  • [4] Parameter Evolution for a Particle Swarm Optimization Algorithm
    Zhou, Aimin
    Zhang, Guixu
    Konstantinidis, Andreas
    ADVANCES IN COMPUTATION AND INTELLIGENCE, 2010, 6382 : 33 - +
  • [5] Particle swarm optimization algorithm with differential evolution
    Hao, Zhi-Feng
    Guo, Guang-Han
    Huang, Han
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 1031 - +
  • [6] 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
  • [7] Genetic algorithm particle swarm optimization based hardware evolution strategy
    Zhang, Junbin
    Cai, Jinyan
    Meng, Yafeng
    Meng, Tianzhen
    WSEAS Transactions on Circuits and Systems, 2014, 13 : 274 - 283
  • [8] Improved Particle Swarm Optimization Algorithm Based on Periodic Evolution Strategy
    Mei, Congli
    Zhang, Jing
    Liao, Zhiling
    Liu, Guohai
    ADVANCED RESEARCH ON COMPUTER SCIENCE AND INFORMATION ENGINEERING, 2011, 153 : 8 - 13
  • [9] A shuffled complex evolution of particle swarm optimization algorithm
    Jiang Yan
    Hu Tiesong
    Huang Chongchao
    Wu Xianing
    Gui Faling
    ADAPTIVE AND NATURAL COMPUTING ALGORITHMS, PT 1, 2007, 4431 : 341 - +
  • [10] A Hybrid Spherical Evolution and Particle Swarm Optimization Algorithm
    Zhang, Zhiming
    Lei, Zhenyu
    Zhang, Yu
    Todo, Yuki
    Tang, Zheng
    Gao, Shangce
    PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS), 2020, : 167 - 172
12345