Variable-Size Cooperative Coevolutionary Particle Swarm Optimization for Feature Selection on High-Dimensional Data

Evolutionary feature selection (FS) methods face the challenge of "curse of dimensionality" when dealing with high-dimensional data. Focusing on this challenge, this article studies a variable-size cooperative coevolutionary particle swarm optimization algorithm (VS-CCPSO) for FS. The prop...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on evolutionary computation Vol. 24; no. 5; pp. 882 - 895
Main Authors:	Song, Xian-Fang, Zhang, Yong, Guo, Yi-Nan, Sun, Xiao-Yan, Wang, Yong-Li
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Clustering Computational efficiency Computing costs Convergence Cooperative coevolutionary (CC) Correlation Feature extraction Feature selection feature selection (FS) Particle swarm optimization particle swarm optimization (PSO) Search problems Strategy Uncertainty variable-population
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!