Multi-fidelity ranking-and-selection on Synthetic Instance 4
3,613Expected Stopping CostENDS
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ENDSConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 3,613 | 65 | |
| Uniform CostConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 3,734 | 69 | |
| MF-GRADConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 3,953 | 78 | |
| Uniform SampleConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 11,765 | 184 | |
| TS-KKT-IDSConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 21,815 | 330 | |
| GRADConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 28,922 | 455 |