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

• 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

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...