A Velocity-Guided Grey Wolf Optimization Algorithm With Adaptive Weights and Laplace Operators for Feature Selection in Data Classification

A Velocity-Guided Grey Wolf Optimization Algorithm With Adaptive Weights and Laplace Operators for Feature Selection in Data Classification

The rapid growth of data quantity directly leads to the increasing feature dimension, which challenges machine learning and data mining. Wrapper-based intelligent swarm algorithms are effective solution techniques. The Grey Wolf Optimization (GWO) algorithm is a novel intelligent population algorith...

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Bibliographic Details
Main Authors: Li Zhang, Xiaobo Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Grey wolf optimization algorithm
feature selection
dynamic adaptive weighting mechanism
velocity update equation mechanism
Laplace operators
Online Access:https://ieeexplore.ieee.org/document/10466551/

Internet

https://ieeexplore.ieee.org/document/10466551/

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