A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification

• Published in: Applied soft computing Vol. 127; p. 109420
• Main Authors: Xue, Yu, Cai, Xu, Neri, Ferrante
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2022
• Subjects: Classification; Evolutionary algorithm; Initialization; Large-scale feature selection; Multi-objective optimization; ReliefF; Self-adaptive; Initialization; Evolutionary algorithm; Classification; Self-adaptive; Multi-objective optimization; ReliefF; Large-scale feature selection

Feature selection (FS) is an important data pre-processing technique in classification. In most cases, FS can improve classification accuracy and reduce feature dimension, so it can be regarded as a multi-objective optimization problem. Many evolutionary computation techniques have been applied to F...