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Training parameters of GEP based models.
| Parameter | Value |
|---|---|
| Number of chromosomes | 50 |
| Function set | F = [+, −, ×, /, Sin, Cos, Sqrt, Exp] |
| Terminal | T = [x1−x12] |
| Number of genes, head size | 3, 15 |
| Rounding threshold | 0.5 |
| Linking function | Addition |
| Fitness function error type | MSE |
| Mutation rate | 0.044 |
| Inversion rate | 0.05 |
| IS/RIS/gene transposition rate | 0.05 |
| One-Point/ two-point recombination rate | 0.2 |
| Gene Recombination Rate | 0.05 |
