Published April 13, 2023
| Version v1
Dataset
Open
Nevergrad algorithm performance on SBOX-COST suite
Description
The files "XD_benchmark_data.zip" contain the performance results for the respective dimensions of the algorithms Estimation of Multivariate Normal Algorithm (EMNA), Differential Evolution (DE), Constrained Optimization BY Linear Approximation (Cobyla) and Particle Swarm Optimization (PSO) run on the SBOX-COST benchmarking suite. The data is stored in IOHprofiler format.
"data_collection_SBOX_ng.py" contains the code used to collect the data.
The remaining two zip files contain plots generated by IOHanalyzer for all used dimensionalities {2, 3, 5, 10, 20, 40}.
Files
10D_benchmark_data.zip
Files
(1.1 GB)
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md5:d052eeb4711c2090feecbc90221e2839
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md5:7e68827aeecd65c6593d32ee8d405dbd
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md5:080a4ecfa5a70c18c5cfd7bf88ed2df6
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3.1 kB | Download |
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md5:7b4e763ab67bf02c4d6aecc2a919bdc8
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478.3 kB | Preview Download |
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md5:c9eb1ef82bf42d54fa15edffceaa805e
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2.3 MB | Preview Download |