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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media Deutschland GmbH
2020
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| 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 |