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
doi: 10.4121/14247179

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.v2

Dataset

x choose version: version 1 - 2021-03-26

• Artificial Intelligence and Image Processing
• Information Systems
• Computation Theory and Mathematics

Bayesian optimisation, Bayesian optimization, black-box optimisation, Black-box optimization, derivative-free optimisation, derivative-free optimization, expensive optimisation, expensive optimization, optimisation, optimization, surrogate modeling, Surrogate modelling

MIT

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Laurens Bliek , Arthur Guijt , Sicco Verwer , Mathijs de Weerdt , Rickard Karlsson

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

4TU.ResearchData

Zipped folders containing .csv, .py and .png files.

• https://arxiv.org/abs/2106.04618

• Real-time data-driven maintenance logistics

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science;
TU Eindhoven, Department of Industrial Engineering & Innovation Science