Michalewicz
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Function Optimization | Michalewicz D=1000 | Convergence Value-10.6887 | 19 | |
| High-dimensional optimization | Michalewicz D=10000 | Convergence Value-11.739 | 13 | |
| Global Optimization | Michalewicz d=30 | Simple Regret13.6 | 11 | |
| Continuous Black-box Optimization | Michalewicz 30D | Average Objective Value8.3278 | 7 | |
| Bayesian Optimization | Michalewicz 10 | Probe Variance0.002 | 6 | |
| Mode Recovery | Michalewicz Group A scalable multimodal functions | Mode Recovery Rate (d=2)100 | 5 | |
| Global Optimization | Michalewicz d=64 | Mean Wall-Clock Time (s)23.8 | 5 | |
| Global Optimization | Michalewicz d=32 | Mean Time (s)12 | 5 | |
| Global Optimization | Michalewicz d=8 | Mean Wall-Clock Time (s)7.4 | 5 | |
| Global Optimization | Michalewicz d=2 | Mean wall-clock time (s)1 | 5 | |
| Global Optimization | Michalewicz 10 dimensions | Average Objective Value-9.151 | 2 |
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