| Efficient global optimization for combinatorial problems M Zaefferer, J Stork, M Friese, A Fischbach, B Naujoks, T Bartz-Beielstein Proceedings of the 2014 annual conference on genetic and evolutionary …, 2014 | 76 | 2014 |
| Open issues in surrogate-assisted optimization J Stork, M Friese, M Zaefferer, T Bartz-Beielstein, A Fischbach, ... High-performance simulation-based optimization, 225-244, 2020 | 39 | 2020 |
| Tuned data mining: a benchmark study on different tuners W Konen, P Koch, O Flasch, T Bartz-Beielstein, M Friese, B Naujoks Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 36 | 2011 |
| Building Ensembles of Surrogates by Optimal Convex Combination M Friese, T Bartz-Beielstein, M Emmerich Bioinspired Optimization Methods and their Applications, 131-143, 2016 | 16* | 2016 |
| Data preprocessing: A new algorithm for univariate imputation designed specifically for industrial needs S Chandrasekaran, M Zaefferer, S Moritz, J Stork, M Friese, A Fischbach, ... | 15 | 2016 |
| Noisy optimization with sequential parameter optimization and optimal computational budget allocation T Bartz-Beielstein, M Friese, M Zaefferer, B Naujoks, O Flasch, W Konen, ... Proceedings of the 13th annual conference companion on Genetic and …, 2011 | 14 | 2011 |
| Tuning multi-objective optimization algorithms for cyclone dust separators M Zaefferer, B Breiderhoff, B Naujoks, M Friese, J Stork, A Fischbach, ... Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014 | 12 | 2014 |
| From real world data to test functions A Fischbach, M Zaefferer, J Stork, M Friese, T Bartz-Beielstein | 10 | 2016 |
| Sequential parameter optimization and optimal computational budget allocation for noisy optimization problems T Bartz-Beielstein, M Friese CIOP Technical Report 02/11, Research Center CIOP (Computational …, 2011 | 8 | 2011 |
| Ensemble Based Optimization and Tuning Algorithms M Friese, M Zaefferer, T Bartz-Beielstein, O Flasch, P Koch, W Konen, ... Schriftenreihe des Instituts für Angewandte Informatik …, 2011 | 8 | 2011 |
| GECCO 2018 Industrial Challenge: Monitoring of drinking-water quality F Rehbach, S Moritz, S Chandrasekaran, M Rebolledo, M Friese, ... Accessed: Feb 19, 2019, 2018 | 7 | 2018 |
| Weighted ensembles in model-based global optimization M Friese, T Bartz-Beielstein, T Bäck, B Naujoks, M Emmerich AIP conference proceedings 2070 (1), 2019 | 6 | 2019 |
| UniFIeD univariate frequency-based imputation for time series data M Friese, J Stork, R Ramos Guerra, T Bartz-Beielstein, S Thaker, O Flasch, ... | 6 | 2013 |
| Multi-criteria optimization for hard problems under limited budgets M Zaefferer, T Bartz-Beielstein, M Friese, B Naujoks, O Flasch Proceedings of the 14th annual conference companion on Genetic and …, 2012 | 6 | 2012 |
| Simulation and optimization of cyclone dust separators B Breiderhoff, T Bartz-Beielstein, B Naujoks, M Zaefferer, A Fischbach, ... | 5 | 2013 |
| Learning model-ensemble policies with genetic programming O Flasch, M Friese, M Zaefferer, T Bartz-Beielstein, J Branke | 4 | 2015 |
| Ensemble-based model selection for smart metering data M Friese, O Flasch, K Vladislavleva, T Bartz-Beielstein, O Mersmann, ... Proceedings of the 22nd Workshop Computational Intelligence, 215-227, 2014 | 4 | 2014 |
| SPOT applied to non-stochastic optimization problems: an experimental study T Bartz-Beielstein, M Friese, B Naujoks, M Zaefferer Proceedings of the 14th annual conference companion on Genetic and …, 2012 | 4 | 2012 |
| Optimally Weighted Ensembles in Model-Based Regression for Drug Discovery P Echtenbruck, M Emmerich, M Echtenbruck, B Naujoks 2021 IEEE Congress on Evolutionary Computation (CEC), 2021 | 2 | 2021 |
| Comparing ensemble-based forecasting methods for smart-metering data O Flasch, M Friese, K Vladislavleva, T Bartz-Beielstein, O Mersmann, ... European Conference on the Applications of Evolutionary Computation, 172-181, 2013 | 2 | 2013 |
Thomas Bartz-BeielsteinTH Koeln, Institute for Data Science, Engineering, and AnalyticsVerified email at th-koeln.de
