This repository open-sources datasets that were foundational for papers as required by the funding agencies:
- ML_GlobOpt/Werth_EMSS_2024_results.zip
Efficient Global Optimization for Dynamic Problems. (2024). doi: 10.46354/i3m.2024.emss.018 - ML_GlobOpt/Werth_Eurocast_2024_results.zip
Werth B, Karder J, Wagner S, Affenzeller M. (2025). Diversity Management in Evolutionary Dynamic Optimization. Computer Aided Systems Theory – EUROCAST 2024 - 19th International Conference, Las Palmas de Gran Canaria, Spain, February 25 – March 1, 2024, Revised Selected Papers, Part I (pp. 140-147). Springer Nature Switzerland. - ML_GlobOpt/Werth_Eurocast2022_results.zip
Werth B, Pitzer E, Karder J, Wagner S, Affenzeller M. (2022). Dynamic Vehicle Routing with Time-Linkage: From Problem States to Algorithm Performance. Computer Aided Systems Theory – EUROCAST 2022 - 18th International Conference, Las Palmas de Gran Canaria, Spain, February 20–25, 2022, Revised Selected Papers (pp. 69-77). Springer Nature Switzerland. - ML_GlobOpt/Werth_Gecco_2023_results.csv
Werth B, Karder J, Beham A, Pitzer E, Yang K, Wagner S. (2023). Walking through the Quadratic Assignment-Instance Space: Algorithm Performance and Landscape Measures. doi: 10.1145/3583133.3596325 - ML_GlobOpt/Werth_GPTP_2025_results.csv
Werth B, Affenzeller M. (2025). Continuous Pruning for Symbolic Regression. doi: 10.1145/3712255.3734287 - ML_GlobOpt/Werth_MDPI_2023_aggregated_results.zip
Werth B, Karder J, Heckmann M, Wagner S, Affenzeller M. (2023). Applying Learning and Self-Adaptation to Dynamic Scheduling. Applied Sciences, (1), doi: 10.3390/app14010049