Binary Differential Evolution Based on Individual Entropy for Feature Subset Optimization

The high dimensionality of data brings great challenges to the classification accuracy and complexity of the algorithm. Feature selection technology can improve the classification performance of the algorithm effectively. In this paper, a novel binary differential evolution based on individual entro...

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Bibliographic Details
Main Authors: Tao Li, Hongbin Dong, Jing Sun
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8643779/