Multi-fidelity ranking-and-selection on Synthetic Instance 1
32,237Expected Stopping CostENDS
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ENDSConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 32,237 | 531 | |
| TS-KKT-IDSConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 53,841 | 712 | |
| Uniform SampleConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 56,952 | 814 | |
| MF-GRADConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 65,611 | 1,088 | |
| Uniform CostConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 67,366 | 1,012 | |
| GRADConfidence level (delta)=0.05, Observation variance (sigma^2)=1, Evaluation protocol=Monte Carlo2026.06 | 77,602 | 1,086 |