中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection

文献类型:期刊论文

作者Yanlu Gong; Junhai Zhou; Quanwang Wu; MengChu Zhou; Junhao Wen
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2023
卷号10期号:9页码:1834-1844
关键词Bi-objective optimization feature selection (FS) genetic algorithm high-dimensional data length-adaptive
ISSN号2329-9266
DOI10.1109/JAS.2023.123648
英文摘要As a crucial data preprocessing method in data mining, feature selection (FS) can be regarded as a bi-objective optimization problem that aims to maximize classification accuracy and minimize the number of selected features. Evolutionary computing (EC) is promising for FS owing to its powerful search capability. However, in traditional EC-based methods, feature subsets are represented via a length-fixed individual encoding. It is ineffective for high-dimensional data, because it results in a huge search space and prohibitive training time. This work proposes a length-adaptive non-dominated sorting genetic algorithm (LA-NSGA) with a length-variable individual encoding and a length-adaptive evolution mechanism for bi-objective high-dimensional FS. In LA-NSGA, an initialization method based on correlation and redundancy is devised to initialize individuals of diverse lengths, and a Pareto dominance-based length change operator is introduced to guide individuals to explore in promising search space adaptively. Moreover, a dominance-based local search method is employed for further improvement. The experimental results based on 12 high-dimensional gene datasets show that the Pareto front of feature subsets produced by LA-NSGA is superior to those of existing algorithms.
源URL[http://ir.ia.ac.cn/handle/173211/52372]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式
GB/T 7714
Yanlu Gong,Junhai Zhou,Quanwang Wu,et al. A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(9):1834-1844.
APA Yanlu Gong,Junhai Zhou,Quanwang Wu,MengChu Zhou,&Junhao Wen.(2023).A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection.IEEE/CAA Journal of Automatica Sinica,10(9),1834-1844.
MLA Yanlu Gong,et al."A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection".IEEE/CAA Journal of Automatica Sinica 10.9(2023):1834-1844.

入库方式: OAI收割

来源:自动化研究所

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