Binary grey wolf optimizer with a novel population adaptation strategy for feature selection
Feature selection is a fundamental pre-processing step in machine learning that aims to reduce the dimensionality of a dataset by selecting the most effective features from the original features. This process is regarded as a combinatorial optimization problem, and the grey wolf optimizer (GWO), a n...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
John Wiley and Sons Inc
2023
|
| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |