Multi-population genetic algorithm for feature selection

被引：0
|
作者：
Zhu, Huming [1 ]
Jiao, Licheng
Pan, Jin
机构：
[1] Xidian Univ, Inst Intelligent Informat Proc, Xian 710071, Shaanxi, Peoples R China
[2] Xian Commun Inst, Dept Comp & Informat Eng, Xian 710106, Shaanxi, Peoples R China
来源：
ADVANCES IN NATURAL COMPUTATION, PT 2 | 2006年 / 4222卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes the application of a multi-population genetic algorithm to the selection of feature subsets for classification problems. The multi-population genetic algorithm based on the independent evolution of different subpopulations is to prevent premature convergence of each subpopulation by migration. Experimental results with UCI standard data sets show that multi-population genetic algorithm outperforms simple genetic algorithm.
引用
收藏
页码：480 / 487
页数：8
相关论文
共 50 条
  • [1] Feature Selection Method with Multi-Population Agent Genetic Algorithm
    Li, Yongming
    Zeng, Xiaoping
    [J]. ADVANCES IN NEURO-INFORMATION PROCESSING, PT II, 2009, 5507 : 493 - 500
  • [2] Research of multi-population agent genetic algorithm for feature selection
    Li, Yongming
    Zhang, Sujuan
    Zeng, Xiaoping
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (09) : 11570 - 11581
  • [3] Multi-Population Genetic Algorithm for Multilabel Feature Selection Based on Label Complementary Communication
    Park, Jaegyun
    Park, Min-Woo
    Kim, Dae-Won
    Lee, Jaesung
    [J]. ENTROPY, 2020, 22 (08)
  • [4] Multi-population adaptive genetic algorithm for selection of microarray biomarkers
    Shukla, Alok Kumar
    [J]. NEURAL COMPUTING & APPLICATIONS, 2020, 32 (15): : 11897 - 11918
  • [5] Multi-population adaptive genetic algorithm for selection of microarray biomarkers
    Alok Kumar Shukla
    [J]. Neural Computing and Applications, 2020, 32 : 11897 - 11918
  • [6] Multi-population Genetic Algorithm for Cardinality Constrained Portfolio Selection Problems
    Sabar, Nasser R.
    Turky, Ayad
    Leenders, Mark
    Song, Andy
    [J]. COMPUTATIONAL SCIENCE - ICCS 2018, PT I, 2018, 10860 : 129 - 140
  • [7] An Improved Multi-Population Immune Genetic Algorithm
    Zhu, Hongxia
    Shen, Jiong
    Miao, Guojun
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 3155 - +
  • [8] Landscape Mapping by Multi-population Genetic Algorithm
    Guo, Yuebin B.
    Szeto, Kwok Yip
    [J]. NICSO 2008: NATURE INSPIRED COOPERATIVE STRATEGIES FOR OPTIMIZATION, 2009, 236 : 165 - 176
  • [9] Research on Adaptive Genetic Algorithm Based on multi-population Elite Selection Strategy
    Chen, Jingyou
    Xiao, Ziqian
    [J]. 2017 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (ICCIA), 2017, : 108 - 112
  • [10] Multi-Population Genetic Algorithm with Hierarchical Execution
    Hong, Tzung-Pei
    Peng, Yuan-Ching
    Lin, Wen-Yang
    [J]. 2016 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY), 2016,
12345