This page contains the results and rankings of selected evolutionary algorithms. The results were calculated using selected benchmarks used in single objective bound constrained numerical optimization competitions.
More about used benchmarks, experimental setup, and algorithms can be found here. Motivation
| Rank | Algorithm | % of optimum found | % of achieved thresholds | % of budget left |
|---|---|---|---|---|
| 1 | aBIPOP_CMA-ES | 32.07 | 42.35 | 28.56 |
| 2 | L-SRTDE | 29.46 | 43.26 | 20.80 |
| 3 | jSO | 29.21 | 42.64 | 17.22 |
| 4 | RDE26 | 29.12 | 43.04 | 18.56 |
| 5 | DES | 28.35 | 40.81 | 20.73 |
| 6 | EA4EigSimpTowardsIDE_jSO | 28.32 | 41.26 | 19.48 |
| 7 | EA4Eig | 27.30 | 41.16 | 16.85 |
| 8 | S-LSHADE-DP | 26.03 | 39.29 | 13.20 |
| 9 | RB-IPOP-CMA-ES | 24.03 | 42.57 | 19.83 |
| 10 | JADE | 22.53 | 34.81 | 15.05 |
| 11 | CMA-ES | 21.76 | 31.39 | 19.35 |
| 12 | NL-SHADE-LBC | 21.44 | 35.92 | 16.02 |
| 13 | NL-SHADE-RSP-MID | 20.11 | 32.98 | 13.87 |
| 14 | EA4EigSimpTowardsIDE | 18.18 | 32.65 | 16.60 |
| 15 | SADE | 18.09 | 31.71 | 13.07 |
| 16 | GenSA | 16.36 | 30.33 | 13.65 |
| 17 | DE_restarts | 13.72 | 24.26 | 9.96 |
| 18 | DE | 13.13 | 23.70 | 9.51 |
| 19 | L-BFGS-B | 13.07 | 24.82 | 12.65 |
| 20 | ES(1+1) | 8.09 | 19.11 | 7.49 |
| 21 | NM | 7.55 | 13.19 | 7.28 |
| 22 | PSopt | 4.63 | 15.13 | 3.05 |
| 23 | ES(mu+lambda) | 1.60 | 10.66 | 1.39 |
| 24 | EA | 1.39 | 8.36 | 1.38 |