Function Optimization on DUST1 function loose tolerance
0.051Composite Scoreei_penalty
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ei_penaltyAcquisition=Expected Improvement, Strategy=Penalty (Generalized PR)2026.04 | 0.051 | 13.71 | 7 | |
| lcb_penalty_HITL_exploreAcquisition=Lower Confidence Bound, Strategy=Penalty (Generalized PR), Mode=HITL_explore2026.04 | 0.0364 | 27.5 | 10 | |
| ei_penalty_HITL_exploreAcquisition=Expected Improvement, Strategy=Penalty (Generalized PR), Mode=HITL_explore2026.04 | 0.0358 | 27.9 | 10 | |
| lcb_penaltyAcquisition=Lower Confidence Bound, Strategy=Penalty (Generalized PR)2026.04 | 0.0319 | 18.83 | 6 | |
| SOBOL_offMethod=Sobol Sequence2026.04 | 0.0281 | 35.6 | 10 | |
| ei_RFAcquisition=Expected Improvement, Model=Random Forest2026.04 | 0.0205 | 24.4 | 5 |