Raw data of the EXPensive Optimization benchmark library (EXPObench)
Datacite citation style
Bliek, Laurens; de Weerdt, Mathijs; Verwer, Sicco (2021): Raw data of the EXPensive Optimization benchmark library (EXPObench). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14247179.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Version 2 - 2021-06-14 (latest)
Version 1 - 2021-03-26
Usage statistics
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Categories
Licence MIT
Interoperability
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.
A file to plot the results is also included, and the plots itself as well.
History
- 2021-03-26 first online, published, posted
Publisher
4TU.ResearchDataFormat
Zipped folders containing .csv, .py and .png files.Funding
- Real-time data-driven maintenance logistics
Organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science;TU Eindhoven, Department of Industrial Engineering & Innovation Science
DATA
Files (4)
- 2,650,026 bytesMD5:
988de12ce4e5f83b54d39e26245d23cbESP_1000iter_7runs.zip - 10,152,790 bytesMD5:
70ce0d8bc5186ecdb0f1e5b813c91e7eHPO_1000iter_10runs.zip - 3,241,906 bytesMD5:
19c2c803c0237423c72487c2742acc7bPitzDaily_1000iter_5runs.zip - 6,491,493 bytesMD5:
55354f6de0a2b3118a632e8eff7b8da5Windwake_1000iter_10runs.zip -
download all files (zip)
22,536,215 bytes unzipped





