Analyzing the Impact of Undersampling on the Benchmarkingand Configuration of Evolutionary Algorithms - Dataset (Q6685098)

This repository contains the raw data and code nessecary to reproduce the results from the paper Analyzing the Impact of Undersampling on the Benchmarkingand Configuration of Evolutionary Algorithms The main file is the python-notebook reproducibility.ipynb, which details the full process for reproduction of the results shown in the paper. The two additional .py files are included for computation which takes longer and can be parallelized. The folder irace_conf_static_modcma.zip contains the verification runs: 200 independent runs of each configuration. Indexes are according to Irace_confs_static_modcma_v2.csv The folder logs_baseline_cs.zip contains the raw irace files on which the analysis is based. This data is taken from the following repository: de Nobel, Jacob, Vermetten, Diederick, Wang, Hao, Doerr, Carola, Bck, Thomas. (2021). Data and Code from: Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4524959