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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