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.
| Number | Algorithm Name | Year | Author(s) | link to data | related PDFs, source code, and remarks |
|---|---|---|---|---|---|
| largescale-000 | CMA | 2019 | Varelas | data | GECCO 2019 paper |
| largescale-001 | LBFGS | 2019 | Varelas | data | GECCO 2019 paper |
| largescale-002 | LMCMA14 | 2019 | Varelas | data | GECCO 2019 paper |
| largescale-003 | LMCMA17 | 2019 | Varelas | data | GECCO 2019 paper |
| largescale-004 | R2ES | 2019 | Varelas | data | GECCO 2019 paper |
| largescale-005 | R10ES | 2019 | Varelas | data | GECCO 2019 paper |
| largescale-006 | V2D-CMA | 2019 | Varelas | data | GECCO 2019 paper |
| largescale-007 | VD-CMA | 2019 | Varelas | data | GECCO 2019 paper |
| largescale-008 | VkD-CMA | 2019 | Varelas | data | GECCO 2019 paper |
| largescale-009 | m2DLBFGS | 2019 | Varelas | data | GECCO 2019 paper |
| largescale-010 | sepCMA | 2019 | Varelas | data | GECCO 2019 paper |
| largescale-011 | BSrr | 2022 | Tanabe | data | Brent-STEP applied to single variables in a round-robin fashion: BBOB-2022 paper |
| largescale-012 | HJ-5 | 2022 | Tanabe | data | Hooke-Jeeves with parameter c set to 0.5: BBOB-2022 paper |
| largescale-013 | HJ-9 | 2022 | Tanabe | data | Hooke-Jeeves with parameter c set to 0.9: BBOB-2022 paper |
| largescale-014 | MTSLS1-5 | 2022 | Tanabe | data | Multiple Trajectory Search with local search LS1 and parameter c set to 0.5: BBOB-2022 paper |
| largescale-015 | MTSLS1-9 | 2022 | Tanabe | data | Multiple Trajectory Search with local search LS1 and parameter c set to 0.9: BBOB-2022 paper |