A Hybrid Genetic Algorithm With Wrapper-Embedded Approaches for Feature Selection

A Hybrid Genetic Algorithm With Wrapper-Embedded Approaches for Feature Selection

Feature selection is an important research area for big data analysis. In recent years, various feature selection approaches have been developed, which can be divided into four categories: filter, wrapper, embedded, and combined methods. In the combined category, many hybrid genetic approaches from...

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Bibliographic Details
Main Authors: Xiao-Ying Liu, Yong Liang, Sai Wang, Zi-Yi Yang, Han-Shuo Ye
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Feature selection
wrapper−embedded method
memetic framework
genetic algorithm
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Online Access:https://ieeexplore.ieee.org/document/8326701/

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