Multi-fidelity ranking-and-selection on Synthetic Instance 2
10,794Expected Stopping CostTS-KKT-IDS
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TS-KKT-IDSConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 10,794 | 203 | |
| ENDSConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 11,504 | 199 | |
| GRADConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 17,215 | 352 | |
| Uniform SampleConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 18,883 | 347 | |
| MF-GRADConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 38,790 | 671 | |
| Uniform CostConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 38,980 | 656 |