Benchmark
Run comparison/xbbo_benchmark.py to benchmark general BBO optimizer.
| Method | Minimum | Best minimum | Mean f_calls to min | Std f_calls to min | Fastest f_calls to min |
|---|---|---|---|---|---|
| XBBO(rs) | 0.684+/-0.248 | 0.399 | 110.4 | 60.511 | 17 |
| XBBO(bo-gp) | 0.398+/-0.000 | 0.398 | 138.5 | 33.685 | 90 |
| XBBO(tpe) | 0.519+/-0.119 | 0.398 | 191.4 | 12.035 | 162 |
| XBBO(anneal) | 0.404+/-0.005 | 0.399 | 164.5 | 29.032 | 92 |
| XBBO(cma-es) | 0.398+/-0.000 | 0.398 | 191.3 | 8.391 | 174 |
| XBBO(rea) | 0.425+/-0.026 | 0.399 | 115.8 | 47.743 | 56 |
| XBBO(de) | 0.465+/-0.065 | 0.399 | 163.5 | 27.969 | 99 |
| XBBO(turbo-1) | 0.398+/-0.000 | 0.398 | 110.3 | 46.596 | 46 |
| XBBO(turbo-2) | 0.398+/-0.000 | 0.398 | 130.7 | 48.57 | 68 |
| XBBO(bore) | 0.413+/-0.014 | 0.399 | 96.9 | 47.593 | 43 |
| XBBO(lfbo) | 0.417+/-0.021 | 0.398 | 85.9 | 60.69 | 27 |
| XBBO(cem) | 1.875+/-2.090 | 0.398 | 144.8 | 60.834 | 36 |
| XBBO(xnes) | 0.445+/-0.083 | 0.398 | 149.7 | 39.618 | 82 |
| XBBO(pso) | 0.732+/-0.217 | 0.427 | 107.1 | 68.168 | 4 |
Compare other bbo library
Here you can comparison with commonly used and well-known Hyperparameter Optimization (HPO) packages: