An Information-Based Elite-Guided Evolutionary Algorithm for Multi-Objective Feature Selection

被引：0
|
作者：
Ziqian Wang [1 ]
Shangce Gao [2 ,1 ]
Zhenyu Lei [1 ]
Masaaki Omura [1 ]
机构：
[1] the Faculty of Engineering, University of Toyama
[2] IEEE
来源：
IEEE/CAAJournalofAutomaticaSinica | 2024年 / 11卷 / 01期
基金：
日本学术振兴会; 日本科学技术振兴机构;
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：
Dear Editor, This letter is concerned with the evolution strategy for addressing multi-objective feature selection problems in classification. Previous methods suffer from limitations such as being trapped in local optima and lacking stability. To overcome them, we propose a novel eliteguided mechanism based on information theory. Firstly, an elite solution is generated through a dimension reduction strategy and incorporated to the initialization population. Then,
引用
收藏
页码：264 / 266
页数：3
相关论文
共 50 条
  • [1] An Information-Based Elite-Guided Evolutionary Algorithm for Multi-Objective Feature Selection
    Wang, Ziqian
    Gao, Shangce
    Lei, Zhenyu
    Omura, Masaaki
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2024, 11 (01) : 264 - 266
  • [2] Elite-guided multi-objective cuckoo search algorithm based on crossover operation and information enhancement
    Xunian Yang
    Xiaochen Hao
    Tianqi Yang
    Yonghang Li
    Yuxuan Zhang
    Junwei Wang
    Soft Computing, 2023, 27 : 4761 - 4778
  • [3] Elite-guided multi-objective cuckoo search algorithm based on crossover operation and information enhancement
    Yang, Xunian
    Hao, Xiaochen
    Yang, Tianqi
    Li, Yonghang
    Zhang, Yuxuan
    Wang, Junwei
    SOFT COMPUTING, 2023, 27 (08) : 4761 - 4778
  • [4] Elite-guided multi-objective artificial bee colony algorithm
    Huo, Ying
    Zhuang, Yi
    Gu, Jingjing
    Ni, Siru
    APPLIED SOFT COMPUTING, 2015, 32 : 199 - 210
  • [5] Information gain-based multi-objective evolutionary algorithm for feature selection
    Zhang, Baohang
    Wang, Ziqian
    Li, Haotian
    Lei, Zhenyu
    Cheng, Jiujun
    Gao, Shangce
    INFORMATION SCIENCES, 2024, 677
  • [6] A multi-objective evolutionary algorithm for feature selection based on mutual information with a new redundancy measure
    Wang, Zhichun
    Li, Minqiang
    Li, Juanzi
    INFORMATION SCIENCES, 2015, 307 : 73 - 88
  • [7] Multi-objective Evolutionary Feature Selection
    Kundu, Partha Pratim
    Mitra, Sushmita
    PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PROCEEDINGS, 2009, 5909 : 74 - 79
  • [8] A multi-objective evolutionary algorithm with mutual-information-guided improvement phase for feature selection in complex manufacturing processes
    Li, An-Da
    He, Zhen
    Wang, Qing
    Zhang, Yang
    Ma, Yanhui
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2025, 323 (03) : 952 - 965
  • [9] Retinal blood vessel segmentation using the elite-guided multi-objective artificial bee colony algorithm
    Khomri, Bilal
    Christodoulidis, Argyrios
    Djerou, Leila
    Babahenini, Mohamed Chaouki
    Cheriet, Farida
    IET IMAGE PROCESSING, 2018, 12 (12) : 2163 - 2171
  • [10] Global mutual information-based feature selection approach using single-objective and multi-objective optimization
    Han, Min
    Ren, Weijie
    NEUROCOMPUTING, 2015, 168 : 47 - 54
12345