Algorithm data sets for the bbob-biobj test suite
In the table below, you will find all official algorithm data sets on the bbob-biobj 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.
| Algorithm | Year | Author(s) | Dataset | Comment |
|---|---|---|---|---|
| DEMO | 2016 | Tušar and Filipič | tgz | doi |
| HMO-CMA-ES | 2016 | Loshchilov and Glasmachers | tgz | |
| MAT-DIRECT | 2016 | Al-Dujaili and Sundaram | tgz | doi |
| MAT-SMS | 2016 | Al-Dujaili and Sundaram | tgz | doi |
| MO-DIRECT-HV-Rank | 2016 | Wong et al. | tgz | |
| MO-DIRECT-ND | 2016 | Wong et al. | tgz | |
| MO-DIRECT-Rank | 2016 | Wong et al. | tgz | |
| NSGA-II-MATLAB | 2016 | Auger et al. | tgz | |
| RANDOMSEARCH-4 | 2016 | Auger et al. | tgz | |
| RANDOMSEARCH-5 | 2016 | Auger et al. | tgz | pdf, comparison pdf |
| RANDOMSEARCH-100 | 2016 | Auger et al. | tgz | |
| RM-MEDA | 2016 | Auger et al. | tgz | |
| SMS-EMOA-DE | 2016 | Auger et al. | tgz | |
| SMS-EMOA-PM | 2016 | Auger et al. | tgz | |
| UP-MO-CMA-ES | 2016 | Krause et al. | tgz | |
| SMS-EMOA-SA | 2017 | Wessing | tgz | doi, link to paper |
| COMO-1e3 | 2019 | Dufossé and Touré | tgz | BBOB-2019 paper |
| COMO-3 | 2019 | Dufossé and Touré | tgz | BBOB-2019 paper |
| COMO-10 | 2019 | Dufossé and Touré | tgz | BBOB-2019 paper |
| COMO-32 | 2019 | Dufossé and Touré | tgz | BBOB-2019 paper |
| COMO-100 | 2019 | Dufossé and Touré | tgz | BBOB-2019 paper |
| COMO-316 | 2019 | Dufossé and Touré | tgz | BBOB-2019 paper |
| GDE3-platypus | 2019 | Brockhoff and Tušar | tgz | BBOB-2019 paper |
| IBEA-platypus | 2019 | Brockhoff and Tušar | tgz | BBOB-2019 paper |
| MO-CMA-ES-10 | 2019 | Dufossé and Touré | tgz | BBOB-2019 paper |
| MO-CMA-ES-32 | 2019 | Dufossé and Touré | tgz | BBOB-2019 paper |
| MO-CMA-ES-100 | 2019 | Dufossé and Touré | tgz | BBOB-2019 paper |
| MOEAD-platypus | 2019 | Brockhoff and Tušar | tgz | BBOB-2019 paper |
| N-III-11-platypus | 2019 | Brockhoff and Tušar | tgz | BBOB-2019 paper |
| N-III-111-platypus | 2019 | Brockhoff and Tušar | tgz | BBOB-2019 paper |
| NSGA-II-platypus | 2019 | Brockhoff and Tušar | tgz | BBOB-2019 paper |
| SPEA2-platypus | 2019 | Brockhoff and Tušar | tgz | BBOB-2019 paper |
| DMS | 2021 | Brockhoff et al. | tgz | BBOB-2021 paper |
| MultiGLODS | 2021 | Brockhoff et al. | tgz | BBOB-2021 paper |
| K-RVEA | 2022 | Tanabe et al. | tgz | continuous submission: Kriging-assisted reference vector guided evolutionary algorithm GECCO-2022 paper |
| MOTPE | 2022 | Tanabe et al. | tgz | continuous submission: optuna implementation of the Multiobjective Tree Parzen Estimator GECCO-2022 paper |
| TPB | 2022 | Tanabe et al. | tgz | continuous submission: two-phase algorithm with a Bézier simplex-based interpolation method GECCO-2022 paper |
| Borg-adaptive | 2023 | Brockhoff et al. | tgz | Borg-MOEA with adaptive epsilon |
| Borg-eps-1e-4 | 2023 | Brockhoff et al. | tgz | Borg-MOEA with fixed epsilon (= 10**(-4)) |