Research Article
Structured Clanning-Based Ensemble Optimization Algorithm: A Novel Approach for Solving Complex Numerical Problems
Table 10
Hyperperameter setting for compared algorithms.
| Algorithm | Hyperparameters |
| FEP | Population-size = 10 |
| ABC | Population-size = 121 | Onlooker-bees = 60 | Employed-bees = 50 | Scout-bees = 1 |
| GWO | Population-size = 40 |
| GSA | Population-size = 50 | Gravitational-constant = 100 | α = 20 |
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