A novel explanatory hybrid artificial bee colony algorithm for numerical function optimization
Over the past few decades, there has been a surge of interest of using swarm intelligence (SI) in computer-aided optimization. SI algorithms have demonstrated their efcacy in solving various types of real-world optimization problems. However, it is impossible to fnd an optimization algorithm that ca...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Springer Nature
2020
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| Online Access: | http://eprints.utem.edu.my/id/eprint/24751/2/2020%20A%20NOVEL%20EXPLANATORY%20HYBRID%20ARTIFICIAL%20BEE%20COLONY%20ALGORITHM%20FOR%20NUMERICAL%20FUNCTION%20OPTIMIZATION.PDF http://eprints.utem.edu.my/id/eprint/24751/ https://link.springer.com/article/10.1007/s11227-019-03083-2 |
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