Parallel quantum-behaved particle swarm optimization

被引：28
|
作者：
Tian, Na [1 ]
Lai, Choi-Hong [2 ]
机构：
[1] Jiangnan Univ, Dept Educ Technol, Wuxi 214122, Peoples R China
[2] Univ Greenwich, Sch Comp & Math Sci, London SE10 9LS, England
来源：
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | 2014年 / 5卷 / 02期
基金：
中国国家自然科学基金; 中央高校基本科研业务费专项资金资助;
关键词：
Quantum-behaved particle swarm optimization; Master-slave; Static subpopulation; Shape identification;
D O I：
10.1007/s13042-013-0168-2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Quantum-behaved particle swarm optimization (QPSO), like other population-based algorithms, is intrinsically parallel. The master-slave (synchronous and asynchronous) and static subpopulation parallel QPSO models are investigated and applied to solve the inverse heat conduction problem of identifying the unknown boundary shape. The performance of all these parallel models is compared. The synchronous parallel QPSO can obtain better solutions, while the asynchronous parallel QPSO converges fast without idle waiting. The scalability of the static subpopulation parallel QPSO is not as good as the master-slave parallel model.
引用
收藏
页码：309 / 318
页数：10
相关论文
共 50 条
  • [1] Parallel quantum-behaved particle swarm optimization
    Na Tian
    Choi-Hong Lai
    [J]. International Journal of Machine Learning and Cybernetics, 2014, 5 : 309 - 318
  • [2] PQPSO: A New Parallel Quantum-Behaved Particle Swarm Optimization
    Ma, Yan
    Liu, Yang
    Chen, Yupin
    Li, Xiuzhen
    [J]. DCABES 2008 PROCEEDINGS, VOLS I AND II, 2008, : 46 - +
  • [3] A modified Quantum-behaved Particle Swarm Optimization
    Sun, Jun
    Lai, C. -H.
    Xu, Wenbo
    Ding, Yanrui
    Chai, Zhilei
    [J]. COMPUTATIONAL SCIENCE - ICCS 2007, PT 1, PROCEEDINGS, 2007, 4487 : 294 - +
  • [4] A Review of Quantum-behaved Particle Swarm Optimization
    Fang, Wei
    Sun, Jun
    Ding, Yanrui
    Wu, Xiaojun
    Xu, Wenbo
    [J]. IETE TECHNICAL REVIEW, 2010, 27 (04) : 336 - 348
  • [5] Parallel Diversity-controlled Quantum-behaved Particle Swarm Optimization Algorithm
    Long, Haixia
    Wu, ShuLei
    Fu, HaiYan
    [J]. 2014 TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2014, : 74 - 79
  • [6] Quantum-behaved particle swarm optimization for integer programming
    Liu, Jing
    Sun, Jun
    Xu, Wenbo
    [J]. NEURAL INFORMATION PROCESSING, PT 2, PROCEEDINGS, 2006, 4233 : 1042 - 1050
  • [7] Quantum-behaved Particle Swarm Optimization with Crossover Operator
    Su, Dianbo
    Xu, Wenbo
    Sun, Jun
    [J]. PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND INFORMATION SYSTEMS, 2009, : 399 - 402
  • [8] A Novel Quantum-behaved Particle Swarm Optimization Algorithm
    Zhao, Jing
    Liu, Hong
    [J]. 14TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS, ENGINEERING AND SCIENCE (DCABES 2015), 2015, : 94 - 97
  • [9] A cooperative approach to quantum-behaved particle swarm optimization
    Gao, Hao
    Xu, Wenbo
    Gao, Tao
    [J]. 2007 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING, CONFERENCE PROCEEDINGS BOOK, 2007, : 205 - +
  • [10] An improved quantum-behaved particle swarm optimization algorithm
    Panchi Li
    Hong Xiao
    [J]. Applied Intelligence, 2014, 40 : 479 - 496
12345