Research Article
Indirect Estimation of Swelling Pressure of Expansive Soil: GEP versus MEP Modelling
Table 4
Parameters setting for GEP and MEP algorithms.
| | Settings for Ps |
| GEP parameters | General | Training records | 134 | Validation records | 66 | Number of chromosomes | 30 | Number of genes | 3 | Head size | 13 | Linking function | Addition | Function set | +, −, ×, ÷, X2, X1/3 | Numerical constants | Constants per gene | 10 | Type of data | Floating point | Maximum complexity | 10 | Ephemeral random constant | [−10, 10] | Genetic operators | Mutation | 0.00138 | Inversion rate | 0.00546 | IS transposition rate | 0.00546 | RIS transposition rate | 0.00546 | One-point recombination rate | 0.00277 | Two-point recombination rate | 0.00277 | Gene recombination rate | 0.00277 | Uniform recombination | 0.00755 | MEP parameters | Num of subpopulation | 10 | Subpopulation size | 2000 | Code length | 50 | Crossover probability | 0.9 | Crossover type | Uniform | Mutation probability | 0.01 | Tournament size | 6 | Operators | 0.5 | Variables | 0.5 | Constants | 0 | Number of generations | 1400 | Function set | +, −, ×,/ | Terminal set | Problem input | Replication number | 10 | Error measure | Mean squared error | Problem type | Regression | Simplified | Yes | Random seed | 0 | Number of runs | 20 | Number of threads | 1 |
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