Enhanced SparseEA for large-scale multi-objective feature selection problems

Abstract Large-scale multi-objective feature selection problems are widely existing in the fields of text classification, image processing, and biological omics. Numerous features usually mean more correlation and redundancy between features, so effective features are usually sparse. SparseEA is an...

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Bibliographic Details

Published in:	Complex & Intelligent Systems
Main Authors:	Shu-Chuan Chu, Zhongjie Zhuang, Jeng-Shyang Pan, Ali Wagdy Mohamed, Chia-Cheng Hu
Format:	Article
Language:	English
Published:	Springer 2023-07-01
Subjects:	Sparse multi-objective problems Large-scale feature selection Difference operator Feature weights SparseEA
Online Access:	https://doi.org/10.1007/s40747-023-01177-2