Link Search Menu Expand Document (external link)

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