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Raw data of the EXPensive Optimization benchmark library (EXPObench)

dataset
posted on 26.03.2021, 09:44 by Laurens Bliek, Mathijs de Weerdt, Sicco Verwer
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.

Funding

Real-time data-driven maintenance logistics

History

Publisher

4TU.ResearchData

Format

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

Organizations

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

Licence

Exports