Table 4 Algorithm fitting parameters used in the study.
From: Soft computing models for prediction of bentonite plastic concrete strength
Parameters | Settings |
|---|---|
GEP parameters | |
 Constants per gene | 5 |
 No. of genes | 4 |
 Linking function | Addition |
 Head size | 10 |
 No. of chromosomes | 30 |
 Functions |  + , − , × , ÷ , sqrt |
MEP parameters | |
 Number of generations | 500 |
 Subpopulation size | 100 |
 Runs | 10 |
 Crossover probability | 0.9 |
 No. of subpopulations | 200 |
 Functions |  + , − , × , ÷ , sqrt |
 Code length | 40 |
AdaBoost parameters | |
 Max. depth | 8 |
 n_estimators | 100 |
 Learning rate | 0.01 |
