Raw data of the EXPensive Optimization benchmark library (EXPObench)
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
Datacite citation style:
Bliek, Laurens; Guijt, Arthur; Verwer, Sicco; de Weerdt, Mathijs; Karlsson, Rickard (2021): Raw data of the EXPensive Optimization benchmark library (EXPObench). Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/14247179.v2Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
version 2 - 2021-06-14 (latest)version 1 - 2021-03-26
These are the raw data of the results of several surrogate-based optimization algorithms, applied to four different real-life expensive optimization problems. Included are the computation time used by the algorithm, time spent on evaluating the expensive objective function, and the values of the decision variables and the objective at every iteration and at the optimum.
A file to plot the results is also included, and the plots itself as well.
- 2021-03-26 first online
- 2021-06-14 published, posted
formatZipped folders containing .csv, .py and .png files.
- Real-time data-driven maintenance logistics
organizationsTU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science;
TU Eindhoven, Department of Industrial Engineering & Innovation Science
- 10,152,790 bytes md5 HPO_1000iter_10runs.zip
- 3,241,906 bytes md5 PitzDaily_1000iter_5runs.zip
- 6,491,493 bytes md5 Windwake_1000iter_10runs.zip
- 2,650,026 bytes md5 ESP_1000iter_7runs.zip
- 3,881 bytes md5 README.md
- download all files (zip)