Research Article
Structured Clanning-Based Ensemble Optimization Algorithm: A Novel Approach for Solving Complex Numerical Problems
Table 1
SCEO checked configuration for hyperparameters.
| Parameters | Configuration values | Tuned value |
| Number of groups () | [2, 3] | 3 | Number of child agents per group () | [5, 10, 15] | 10 | Number of female agents per group () | [5, 10, 15] | 6 | Number of bounded agents per group () | [5, 10, 15] | 4 | Number of semibounded agents () | [10, 20, 30] | 20 | Number of unbounded agents () | [10, 20, 30] | 20 | Perturbation rates () | [0.25, 0.5, 0.75] | 0.2 | Perturbation rates () | [0.25, 0.5, 0.75] | 0.75 |
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