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
收藏
页码：1200 / 1204
页数：5
相关论文
共 50 条
  • [1] Multivector particle swarm optimization algorithm
    Fakhouri, Hussam N.
    Hudaib, Amjad
    Sleit, Azzam
    SOFT COMPUTING, 2020, 24 (15) : 11695 - 11713
  • [2] Multivector particle swarm optimization algorithm
    Hussam N. Fakhouri
    Amjad Hudaib
    Azzam Sleit
    Soft Computing, 2020, 24 : 11695 - 11713
  • [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] 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
  • [5] An Improved Particle Swarm Optimization Algorithm
    Na, Risu
    Li, Qiang
    Wu, Liji
    MATERIALS PROCESSING TECHNOLOGY II, PTS 1-4, 2012, 538-541 : 2658 - +
  • [6] An Improved Particle Swarm Optimization Algorithm
    Yu, Yu Feng
    Li, Guo
    Xu, Chen
    FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY III, PTS 1-3, 2013, 401 : 1328 - 1335
  • [7] Simplified particle swarm optimization algorithm
    Martins, Carlos Humberto
    Barbosa dos Santos, Ricardo Paupitz
    Santos, Febio Lucio
    ACTA SCIENTIARUM-TECHNOLOGY, 2012, 34 (01) : 21 - 25
  • [8] An Algorithm Based on the Improved Particle Swarm Optimization
    Ge, Ri-Bo
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, KNOWLEDGE ENGINEERING AND INFORMATION ENGINEERING (SEKEIE 2014), 2014, 114 : 176 - 179
  • [9] An improved particle swarm optimization algorithm based on comparative judgment
    Wang, Chun-Feng
    Liu, Kui
    NATURAL COMPUTING, 2018, 17 (03) : 641 - 661
  • [10] An Optimization Algorithm on Improved Chaos Particle Swarm
    Cao, Jian
    Cao, Zeyang
    Gong, Xiaopeng
    Li, Gang
    INTERNATIONAL CONFERENCE ON ELECTRICAL AND CONTROL ENGINEERING (ICECE 2015), 2015, : 413 - 416
12345