Opposition Based Competitive Grey Wolf Optimizer For EMG Feature Selection

This paper proposes a competitive grey wolf optimizer (CGWO) to solve the feature selection problem in electromyography (EMG) pattern recognition. We model the recently established feature selection method, competitive binary grey wolf optimizer (CBGWO), into a continuous version (CGWO), which enabl...

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Bibliographic Details
Main Authors: Too, Jing Wei, Abdullah, Abdul Rahim
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2020
Online Access:http://eprints.utem.edu.my/id/eprint/25711/2/2021%20OPPOSITION_BASED_COMPETITIVE_GREY_WOLF_OPTIMIZER_F.PDF
http://eprints.utem.edu.my/id/eprint/25711/
https://link.springer.com/article/10.1007/s12065-020-00441-5
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Institution: Universiti Teknikal Malaysia Melaka
Language: English