Target Position Measurement Technology Based on Quantum-behaved Particle Swarm Optimization

被引：1
|
作者：
Yao, Jinjie [1 ]
Yang, Jing [1 ]
Li, Jian [1 ]
Wang, Liming [2 ]
Han, Yan [2 ]
机构：
[1] North Univ China, Natl Key Lab Elect Testing Technol, Taiyuan 030051, Peoples R China
[2] North Univ China, Minist Educ, Instrumentat Sci & Dynam Testing Lab, Taiyuan 030051, Peoples R China
来源：
SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4 | 2013年 / 303-306卷
关键词：
Particle swarm; Quantum behavior; Target localization; Time difference of arrival; LOCALIZATION; ALGORITHM;
D O I：
10.4028/www.scientific.net/AMM.303-306.403
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Quantum-behaved particle swarm optimization algorithm (QPSO) was proposed as a kind of swarm intelligence, which outperformed standard particle swarm optimization algorithm (PSO) in search ability. This paper presents an improved QPSO with nonlinear controlled parameter according to the fitness value of the particles. Simultaneously, we apply the improved QPSO to solve the problems of target position measurement. The experimental results show that the improved QPSO has faster convergence speed, higher measurement accuracy, and good localization performance.
引用
收藏
页码：403 / +
页数：2
相关论文
共 50 条
  • [31] A Modified Quantum-Behaved Particle Swarm Optimization for Constrained Optimization
    Liu, Huaying
    Xu, Shaohua
    Liang, Xingzhu
    [J]. 2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION WORKSHOP: IITA 2008 WORKSHOPS, PROCEEDINGS, 2008, : 531 - +
  • [32] Localization Technology Based on Quantum-behaved Particle Swarm Optimization Algorithm for Wireless Sensor Network
    Zhao, Ji
    Fu, Yi
    Wang, Han-bo
    [J]. ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 220-223 : 1852 - 1856
  • [33] An Improved Quantum-behaved Particle Swarm Optimization based on Lagrange Multiplier
    Luo, Ping
    Yang, Ya
    Sun, Zuoxiao
    [J]. 2015 11TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2015, : 275 - 280
  • [34] An efficient clustering algorithm based on Quantum-Behaved Particle Swarm Optimization
    Zhang, Xingye
    Xu, Wenbo
    [J]. DCABES 2006 PROCEEDINGS, VOLS 1 AND 2, 2006, : 603 - 606
  • [35] Cultural algorithm-based quantum-behaved particle swarm optimization
    Yang, Kaiqiao
    Maginu, Kenjiro
    Nomura, Hirosato
    [J]. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2010, 87 (10) : 2143 - 2157
  • [36] Quantum-behaved Particle Swarm Optimization based on immune memory and vaccination
    Liu, Jing
    Sun, Jun
    Xu, W. B.
    Kong, X. H.
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, 2006, : 453 - +
  • [37] Quantum-Behaved Particle Swarm Optimization Based on Diversity-Controlled
    Long, HaiXia
    Fu, Haiyan
    Shi, Chun
    [J]. DIGITAL SERVICES AND INFORMATION INTELLIGENCE, 2014, 445 : 132 - 143
  • [38] An improved quantum-behaved particle swarm optimization algorithm with weighted mean best position
    Xi, Maolong
    Sun, Jun
    Xu, Wenbo
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2008, 205 (02) : 751 - 759
  • [39] Quantum-behaved Particle Swarm Optimization Algorithm with Levy Mutated Global Best Position
    Peng, Yuming
    Xiang, Yi
    Zhong, Yubin
    [J]. PROCEEDINGS OF THE 2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP), 2013, : 529 - 534
  • [40] A QUANTUM-BEHAVED PARTICLE SWARM OPTIMIZATION FOR HYPERSPECTRAL ENDMEMBER EXTRACTION
    Xu, Mingming
    Zhang, Liangpei
    Du, Bo
    Zhang, Lefei
    Zhang, Yuxiang
    [J]. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 7030 - 7033
12345