Automated continuous data quality measurement with quaIIe L Ehrlinger, B Werth, W Wöß International Journal on Advances in Software 11 (3), 400-417, 2018 | 31 | 2018 |
QuaIIe: a data quality assessment tool for integrated information systems L Ehrlinger, B Werth, W Wöß Proceedings of the Tenth International Conference on Advances in Databases …, 2018 | 15 | 2018 |
Dynamic warehouse environments for crane stacking and scheduling A Beham, S Raggl, J Karder, B Werth, S Wagner Procedia Computer Science 200, 1461-1470, 2022 | 12 | 2022 |
Simulation-based optimization of material requirements planning parameters B Werth, J Karder, A Beham, K Altendorfer Procedia Computer Science 217, 1117-1126, 2023 | 9 | 2023 |
Surrogate-assisted microscopic traffic simulation-based optimisation of routing parameters B Werth, E Pitzer, C Backfrieder, G Ostermayer, M Affenzeller International Journal of Simulation and Process Modelling 14 (3), 223-233, 2019 | 6 | 2019 |
Surrogate-assisted fitness landscape analysis for computationally expensive optimization B Werth, E Pitzer, M Affenzeller Computer Aided Systems Theory–EUROCAST 2019: 17th International Conference …, 2020 | 5 | 2020 |
Enabling high-dimensional surrogate-assisted optimization by using sliding windows B Werth, E Pitzer, M Affenzeller Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 5 | 2017 |
Fitness landscape analysis on binary dynamic optimization problems B Werth, A Beham, J Karder, S Wagner, M Affenzeller Procedia Computer Science 200, 1004-1013, 2022 | 4 | 2022 |
Integrated machine learning in open-ended crane scheduling: learning movement speeds and service times J Karder, A Beham, B Werth, S Wagner, M Affenzeller Procedia Computer Science 200, 1031-1040, 2022 | 4 | 2022 |
A novel benchmark environment for dynamic factory crane scheduling J Karder, B Werth, A Beham, S Wagner, M Affenzeller Procedia Computer Science 217, 1217-1224, 2023 | 3 | 2023 |
Dynstack: A benchmarking framework for dynamic optimization problems in warehouse operations A Beham, S Leitner, J Karder, B Werth, S Wagner Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 3 | 2022 |
Analysis and Handling of Dynamic Problem Changes in Open-Ended Optimization J Karder, B Werth, A Beham, S Wagner, M Affenzeller International Conference on Computer Aided Systems Theory, 61-68, 2022 | 3 | 2022 |
Automating data quality monitoring with reference data profiles L Ehrlinger, B Werth, W Wöß International Conference on Data Management Technologies and Applications, 24-44, 2021 | 3 | 2021 |
Population Dynamics in Genetic Programming for Dynamic Symbolic Regression P Fleck, B Werth, M Affenzeller Applied Sciences 14 (2), 596, 2024 | 2 | 2024 |
Applying learning and self-adaptation to dynamic scheduling B Werth, J Karder, M Heckmann, S Wagner, M Affenzeller Applied Sciences 14 (1), 49, 2023 | 2 | 2023 |
Dynamic vehicle routing with time-linkage: from problem states to algorithm performance B Werth, E Pitzer, J Karder, S Wagner, M Affenzeller International Conference on Computer Aided Systems Theory, 69-77, 2022 | 2 | 2022 |
Dynamic landscape analysis for open-ended stacking B Werth, J Karder, A Beham, S Wagner Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 2 | 2021 |
Asynchronous surrogate-assisted optimization networks J Karder, A Beham, B Werth, S Wagner, M Affenzeller Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 2 | 2018 |
A fair performance comparison of different surrogate optimization strategies B Werth, E Pitzer, M Affenzeller International Conference on Computer Aided Systems Theory, 408-415, 2017 | 2 | 2017 |
A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement K Yang, K Chen, M Affenzeller, B Werth Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 1 | 2023 |