A Classification Method Based on Improved Quantum-behaved Particle Swarm Optimization

被引：0
|
作者：
Zhang, Yugang [1 ]
Xiao, Shisong [1 ]
Liu, Wei [1 ]
Li, Xiaoxu [1 ]
机构：
[1] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Hubei, Peoples R China
来源：
PROCEEDINGS OF 2008 INTERNATIONAL PRE-OLYMPIC CONGRESS ON COMPUTER SCIENCE, VOL II: INFORMATION SCIENCE AND ENGINEERING | 2008年
关键词：
Data mining; Quantum-behaved particle swarm; Classification; Rule extraction;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper introduces the "Absorbing Walls" and the multi-phase theory to improve Quantum-behaved Particle Swarm Optimization algorithm and applies it to solve complex problem of classification. In the process of classification, the double fitness functions are used to increase the precise of classification rules got. The result of experimentation shows that not only the efficiency of this improved optimization algorithm is increased, but also the accuracy rate of classification is high.
引用
收藏
页码：421 / 425
页数：5
相关论文
共 50 条
  • [41] An improved quantum-behaved particle swarm optimization for multi-peak optimization problems
    Zhao, Ji
    Sun, Jun
    Lai, Choi-Hong
    Xu, Wenbo
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2011, 88 (03) : 517 - 532
  • [42] Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight
    Zheng, Song
    Zhou, Xinwei
    Zheng, Xiaoqing
    Ge, Ming
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [43] MOQPSO: A New Quantum-Behaved Particle Swarm Optimization for Nearest Neighborhood Classification
    Li, Yangyang
    Wang, Yang
    Jiao, Licheng
    PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON), 2016, : 3165 - 3168
  • [44] Quantum-behaved particle swarm optimization with chaotic search
    Yang, Kaiqiao
    Nomura, Hirosato
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2008, E91D (07): : 1963 - 1970
  • [45] Quantum-behaved Particle Swarm Optimization clustering algorithm
    Sun, Jun
    Xu, Wenbo
    Ye, Bin
    ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS, 2006, 4093 : 340 - 347
  • [46] Quantum-behaved Particle Swarm Optimization with mutation operator
    Liu, J
    Xu, WB
    Sun, J
    ICTAI 2005: 17TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2005, : 237 - 240
  • [47] Parameter selection of quantum-behaved Particle Swarm Optimization
    Sun, J
    Xu, WB
    Liu, J
    ADVANCES IN NATURAL COMPUTATION, PT 3, PROCEEDINGS, 2005, 3612 : 543 - 552
  • [48] A Word-Level Adversarial Attack Method Based on Sememes and an Improved Quantum-Behaved Particle Swarm Optimization
    Chen, Qidong
    Sun, Jun
    Palade, Vasile
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 35 (11) : 1 - 12
  • [49] APPLICATION OF QUANTUM-BEHAVED PARTICLE SWARM OPTIMIZATION TO MOTOR IMAGERY EEG CLASSIFICATION
    Hsu, Wei-Yen
    INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2013, 23 (06)
  • [50] An Improved Quantum-Behaved Particle Swarm Optimization Algorithm with Elitist Breeding for Unconstrained Optimization
    Yang, Zhen-Lun
    Wu, Angus
    Min, Hua-Qing
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2015, 2015
12345