A Novel Quantum-behaved Particle Swarm Optimization Algorithm

被引：1
|
作者：
Zhao, Jing [1 ,2 ]
Liu, Hong [3 ]
机构：
[1] Qilu Univ Technol, Sch Informat, Jinan, Shandong, Peoples R China
[2] Shandong Normal Univ, Shandong Prov Key Lab Distributed Comp Software, Jinan, Peoples R China
[3] Shandong Normal Univ, Shandong Prov Key Lab Distributed Comp Software, Coll Informat Sci & Engn, Jinan, Peoples R China
来源：
14TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS, ENGINEERING AND SCIENCE (DCABES 2015) | 2015年
关键词：
particle swarm optimization algorithm; quantum-behaved; probability; benchmark function;
D O I：
10.1109/DCABES.2015.31
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A novel Quantum-behaved Particle Swarm Optimization algorithm with probability (P-QPSO) is introduced to improve the global convergence property of QPSO. In the proposed algorithm, all the particles keep the original evolution with large probability, and do not update the position of particles with small probability, and re-initialize the position of particles with small probability. Seven benchmark functions are used to test the performance of P-QPSO. The results of experiment show that the proposed technique can increase diversity of population and converge more rapidly than other evolutionary computation methods.
引用
收藏
页码：94 / 97
页数：4
相关论文
共 50 条
  • [1] A Novel Quantum-Behaved Particle Swarm Optimization Algorithm
    Wu, Tao
    Xie, Lei
    Chen, Xi
    Ashrafzadeh, Amir Homayoon
    Zhang, Shu
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2020, 63 (02): : 873 - 890
  • [2] A Novel Binary Quantum-behaved Particle Swarm Optimization Algorithm
    Zhao, Jing
    Li, Ming
    Wang, Zhihong
    Xu, Wenbo
    [J]. 2013 12TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING & SCIENCE (DCABES), 2013, : 119 - 123
  • [3] An improved quantum-behaved particle swarm optimization algorithm
    Panchi Li
    Hong Xiao
    [J]. Applied Intelligence, 2014, 40 : 479 - 496
  • [4] Application of quantum-behaved particle swarm optimization algorithm
    Wang Shanli
    Long Jun
    Wei Zhiyi
    [J]. 26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 1016 - 1021
  • [5] An improved quantum-behaved particle swarm optimization algorithm
    Li, Panchi
    Xiao, Hong
    [J]. APPLIED INTELLIGENCE, 2014, 40 (03) : 479 - 496
  • [6] An Improved Quantum-Behaved Particle Swarm Optimization Algorithm
    Yang, Jie
    Xie, Jiahua
    [J]. 2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 2, 2010, : 159 - 162
  • [7] Quantum-behaved Particle Swarm Optimization clustering algorithm
    Sun, Jun
    Xu, Wenbo
    Ye, Bin
    [J]. ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS, 2006, 4093 : 340 - 347
  • [8] A Swarm Optimization Genetic Algorithm Based on Quantum-Behaved Particle Swarm Optimization
    Sun, Tao
    Xu, Ming-hai
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2017, 2017
  • [9] An elitist promotion quantum-behaved particle swarm optimization algorithm
    Yang, Zhenlun
    Wu, Angus
    Liao, Haihua
    Xu, Jianxin
    [J]. 2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 1, 2016, : 347 - 350
  • [10] Quantum-behaved particle swarm optimization algorithm with controlled diversity
    Sun, Jun
    Xu, Wenbo
    Fang, Wei
    [J]. COMPUTATIONAL SCIENCE - ICCS 2006, PT 3, PROCEEDINGS, 2006, 3993 : 847 - 854
12345