Convergence Time Prediction on MSG landscapes
0.649R2 ScoreCMA-ES
Evaluation Results
| Method | Links | |
|---|---|---|
| CMA-ESd=2, Predictor=Random Forest regression2026.04 | 0.649 | |
| DEd=2, Predictor=Random Forest regression2026.04 | 0.507 | |
| CMA-ESd=10, Predictor=Random Forest regression2026.04 | 0.459 | |
| DEd=5, Predictor=Random Forest regression2026.04 | 0.231 | |
| CMA-ESd=5, Predictor=Random Forest regression2026.04 | 0.173 | |
| DEd=10, Predictor=Random Forest regression2026.04 | 0.153 |