Bio-Inspired Feature Selection Algorithms With Their Applications: A Systematic Literature Review
Based on the principles of the biological evolution of nature, bio-inspired algorithms are gaining popularity in developing robust techniques for optimization. Unlike gradient descent optimization methods, these metaheuristic algorithms are computationally less expensive, and can also considerably p...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10114397/ |