Synthetic Function Optimization on Levy 10D (100 evaluations)
-2.62Mean Objective ValueMCTS-VS-BO
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MCTS-VS-BONumber of runs=50, Confidence level=0.052022.10 | -2.62 | 1.757 | |
| LA-MCTS-TuRBONumber of runs=50, Confidence level=0.052022.10 | -2.444 | 1.708 | |
| MCTS-VS-TuRBONumber of runs=50, Confidence level=0.052022.10 | -1.102 | 1.711 | |
| TuRBONumber of runs=50, Confidence level=0.052022.10 | -0.662 | 1.049 |