Algorithm data sets for the bbob-constrained test suite
In the table below, you will find all official algorithm data sets on the bbob-constrained 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 |
|---|---|---|---|---|---|
| constrained-000 | RandomSearch-5 | 2022 | Dufossé | data | source code |
| constrained-001 | AL1-CMA-ES | 2022 | Dufossé and Atamna | data | CMA-ES with Augmented Lagrangian fitness, pycma version, parameter setting 1 as compared by Dufosse and Atamna for BBOB-2022 |
| constrained-002 | AL2-CMA-ES | 2022 | Dufossé and Atamna | data | CMA-ES with Augmented Lagrangian fitness, pycma version, parameter setting 2 as compared by Dufosse and Atamna for BBOB-2022 |
| constrained-003 | AL3-CMA-ES | 2022 | Dufossé and Atamna | data | CMA-ES with Augmented Lagrangian fitness, pycma version, parameter setting 3 (default) as compared by Dufosse and Atamna for BBOB-2022 |
| constrained-004 | AL4-CMA-ES | 2022 | Dufossé and Atamna | data | CMA-ES with Augmented Lagrangian fitness, pycma version, parameter setting 4 as compared by Dufosse and Atamna for BBOB-2022 |
| constrained-005 | BPepsMAg | 2022 | Hellwig and Beyer | data | Matrix Adaptation Evolution Strategy with restarts and BIPOP strategy, using up to three different constraint handling techniques, as compared by Hellwig and Beyer for BBOB-2022 |
| constrained-006 | COBYLA | 2022 | Dufossé and Atamna | data | Constrained Optimization BY Linear Approximation (implemented in SciPy as a wrapper around Powell’s fortran code) compared by Dufosse and Atamna for BBOB-2022 |
| constrained-007 | epsMAg | 2022 | Hellwig and Beyer | data | Matrix Adaptation Evolution Strategy, using up to three different constraint handling techniques, as compared by Hellwig and Beyer for BBOB-2022 |
| constrained-008 | fmincon | 2022 | Hellwig and Beyer | data | default fmincon from Matlab2021b, as compared by Hellwig and Beyer for BBOB-2022 |