An experimental study of a fuzzy adaptive emperor penguin optimizer for global optimization problem
Emperor Penguin Optimizer (EPO) is a recently developed population-based meta-heuristic algorithm that simulates the huddling behavior of emperor penguins. Mixed results have been observed on the performance of EPO in solving general optimization problems. Within the EPO, two parameters need to be t...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/35764/1/An%20experimental%20study%20of%20a%20fuzzy%20adaptive.pdf http://umpir.ump.edu.my/id/eprint/35764/ https://doi.org/10.1109/ACCESS.2022.3213805 https://doi.org/10.1109/ACCESS.2022.3213805 |
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