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

doi:10.1109/JAS.2023.123648

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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
刊名	IEEE/CAA Journal of Automatica Sinica
	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
DOI	10.1109/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.
内容类型	期刊论文
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.