Multi-fidelity ranking-and-selection on Synthetic Instance 3
3,550Expected Stopping CostENDS
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ENDSConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 3,550 | 84 | |
| MF-GRADConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 4,231 | 103 | |
| Uniform CostConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 4,539 | 103 | |
| TS-KKT-IDSConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 5,085 | 101 | |
| Uniform SampleConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 6,844 | 153 | |
| GRADConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 8,938 | 196 |