Algorithm data sets for the bbob-mixint test suite
In the table below, you will find all official algorithm data sets on the bbob-mixint 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-ES-pycma | 2019 | Tušar et al. | tgz | GECCO paper |
| DE-scipy | 2019 | Tušar et al. | tgz | GECCO paper |
| RANDOMSEARCH | 2019 | Tušar et al. | tgz | GECCO paper |
| TPE-hyperopt | 2019 | Tušar et al. | tgz | GECCO paper |
| CMA-ESwM | 2022 | Hamano et al. | zip | CMA-ES with Margins as submitted to BBOB-2022 |
| DE-CoBi-r1-L | 2024 | Tanabe | zip | continuous submission: source code, GECCO 2024 paper, Differential Evolution with the parameter control method in CoBiDE, the rand/1 strategy, and Lamarckian repair method, as benchmarked by Tanabe at GECCO-2024 |
| DE-j-r2-B | 2024 | Tanabe | zip | continuous submission: source code, GECCO 2024 paper, Differential Evolution with the parameter control method in jDE, the rand/2 strategy, and Baldwinian repair method, as benchmarked by Tanabe at GECCO-2024 |
| DE-NO-r1-B | 2024 | Tanabe | zip | continuous submission: source code, GECCO 2024 paper, Differential Evolution with no parameter control method, the rand/1 strategy, and Baldwinian repair method, as benchmarked by Tanabe at GECCO-2024 |