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A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection

Yanlu Gong Junhai Zhou Quanwang Wu MengChu Zhou Junhao Wen

自动化学报（英文版）2023，Vol.10Issue(9)：1834-1844,11.

自动化学报（英文版）2023，Vol.10Issue(9)：1834-1844,11.DOI:10.1109/JAS.2023.123648

A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection

Yanlu Gong ¹Junhai Zhou ¹Quanwang Wu ¹MengChu Zhou ²Junhao Wen³

作者信息

1. College of Computer Science,Chongqing University,Chongqing 400044,China
2. Department of Electrical and Computer Engineering,New Jersey Institute of Technology,Newark,NJ 07102 USA
3. College of Big Data and Software Engineering,Chongqing University,Chongqing 400044,China
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摘要

关键词

Bi-objective optimization/feature selection(FS)/genetic algorithm/high-dimensional data/length-adaptive

Key words

Bi-objective optimization/feature selection(FS)/genetic algorithm/high-dimensional data/length-adaptive

引用本文复制引用

Yanlu Gong,Junhai Zhou,Quanwang Wu,MengChu Zhou,Junhao Wen..A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection[J].自动化学报（英文版）,2023,10(9):1834-1844,11.

基金项目

This work was supported in part by the National Natural Science Foundation of China(62172065,62072060). （62172065,62072060）

自动化学报（英文版）

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ISSN：2329-9266

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