Algorithm data sets for the bbob-largescale test suite
In the table below, you will find all official algorithm data sets on the bbob-largescale test suite, together with their year of publication, the authors, and related PDFs for each data set. Links to the source code to run the corresponding experiments/algorithms are provided whenever available.
To sort the table, simply click on the table header of the corresponding column.
Note that a manual download of the data is not necessary if you use the displaying results module (cocopp) of COCO.
| Algorithm | Year | Author(s) | Dataset | Comment |
|---|---|---|---|---|
| CMA | 2019 | Varelas | tgz | GECCO 2019 paper |
| LBFGS | 2019 | Varelas | tgz | GECCO 2019 paper |
| LMCMA14 | 2019 | Varelas | tgz | GECCO 2019 paper |
| LMCMA17 | 2019 | Varelas | tgz | GECCO 2019 paper |
| R2ES | 2019 | Varelas | tgz | GECCO 2019 paper |
| R10ES | 2019 | Varelas | tgz | GECCO 2019 paper |
| V2D-CMA | 2019 | Varelas | tgz | GECCO 2019 paper |
| VD-CMA | 2019 | Varelas | tgz | GECCO 2019 paper |
| VkD-CMA | 2019 | Varelas | tgz | GECCO 2019 paper |
| m2DLBFGS | 2019 | Varelas | tgz | GECCO 2019 paper |
| sepCMA | 2019 | Varelas | tgz | GECCO 2019 paper |
| BSrr | 2022 | Tanabe | tgz | Brent-STEP applied to single variables in a round-robin fashion: BBOB-2022 paper |
| HJ-5 | 2022 | Tanabe | tgz | Hooke-Jeeves with parameter c set to 0.5: BBOB-2022 paper |
| HJ-9 | 2022 | Tanabe | tgz | Hooke-Jeeves with parameter c set to 0.9: BBOB-2022 paper |
| MTSLS1-5 | 2022 | Tanabe | tgz | Multiple Trajectory Search with local search LS1 and parameter c set to 0.5: BBOB-2022 paper |
| MTSLS1-9 | 2022 | Tanabe | tgz | Multiple Trajectory Search with local search LS1 and parameter c set to 0.9: BBOB-2022 paper |