An evolutionary multi-objective optimization framework of discretization-based feature selection for classification

Feature selection (FS) aims to identify the most relevant and non-redundant feature subset for improving the classification accuracy, which is regarded as a NP-hard problem. Some heuristic methods, such as particle swarm optimization (PSO) have achieved great success, however, with the increase of f...

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Bibliographic Details

Published in:	Swarm and evolutionary computation Vol. 60; p. 100770
Main Authors:	Zhou, Yu, Kang, Junhao, Kwong, Sam, Wang, Xu, Zhang, Qingfu
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.02.2021
Subjects:	Discretization Evolutionary multi-objective algorithms Feature selection Pareto ensemble Particle swarm optimization Feature selection Evolutionary multi-objective algorithms Discretization Particle swarm optimization Pareto ensemble
ISSN:	2210-6502
Online Access:	Get full text
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