Many-objective optimization of feature selection based on two-level particle cooperation

•Feature selection (FS) of high-dimensional data is reformulated as a many-objective optimization problem (MaOP) , consisting of three objectives to be minimized simultaneously.•To solve the formulated problem, we developed a PSO-based algorithm to search for the Pareto optimal solutions with two-le...

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Veröffentlicht in:	Information sciences Jg. 532; S. 91 - 109
Hauptverfasser:	Zhou, Yu, Kang, Junhao, Guo, Hainan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.09.2020
Schlagworte:	Feature selection Many-objective evolutionary algorithm Pareto optimal solutions Particle swarm optimization ReliefF Pareto optimal solutions Many-objective evolutionary algorithm Feature selection Particle swarm optimization ReliefF
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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