Table 2.
Parameters of the proposed GEP model.
| GEP algorithm parameters | Value |
|---|---|
| Number of chromosomes | 30 |
| Head size | 7 |
| Number of genes | 3 |
| Linking function | Addition |
| Generations without change | 2000 |
| Number of tries | 3 |
| Maximum complexity | 3 |
| Fitness function | Mean square error |
| Mutation | 0.00138 |
| Permutation | 0.00546 |
| Fixed root mutation | 0.00068 |
| Biased mutation | 0.00546 |
| Best cloning | 0.0026 |
| Random chromosomes | 0.0026 |
| Random cloning | 0.00102 |
| Inversion | 0.00546 |
| Tail inversion and mutation | 0.00546 |
| IS and RIS transposition | 0.00546 |
| One- and two-point recombination | 0.00277 |
| Gene recombination and transposition | 0.00277 |
| Data type | Floating-point |
| Constants per gene | 10 |
| Constant fine-tuning | 0.00206 |
| Dc mutation | 0.00206 |
| Dc IS transposition | 0.00546 |
| Constant insertion | 0.00123 |
| Constant range finding | 0.000085 |
| Stopping condition (maximum fitness) | 1000 |
| Best fitness | 999.99033 |
| Applied operators | ±, ×, /, √, EXP, X2, POW, INV, LN |