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Prof. Dr. Thomas Bartz-Beielstein

Dr. rer. nat.
Faculty of Computer Science and Engineering Science

Prof. Dr. Thomas Bartz-Beielstein

Campus Gummersbach
Steinmüllerallee 1
51643 Gummersbach
Room 1.519 Mailing address


  • Phone: +49 2261-8196-6391

Positions

  • Institute Director
  • Lab supervisor
  • Vice Dean
  • Bartz, Eva; Bartz-Beielstein, Thomas (Hrsg.) (2024): Online Machine Learning : A Practical Guide with Examples in Python. Singapore: Springer Nature Singapore (Machine Learning: Foundations, Methodologies, and Applications).
  • Bartz-Beielstein, Thomas (2023): Hyperparameter Tuning Cookbook : A Guide for Scikit-Learn, PyTorch, River, and SpotPython. In: De.arXiv.org. (Open Access)
  • Bartz-Beielstein, Thomas (2023): PyTorch Hyperparameter Tuning – A Tutorial for SpotPython. In: De.arXiv.org. (Open Access)
  • Schulz, Richard; Hinterleitner, Alexander; Hans, Lukas; Subbotin, Aleksandr; Barthel, Nils; Pütz, Noah Christoph; Rosellen, Martin; Bartz-Beielstein, Thomas; Geng, Christoph; Priss, Philipp (2023): Cognitive Architecture for Artificial Intelligence : Evaluating Realworld Applicability and the Significance of Online Machine Learning. In: Proceedings - 33. Workshop Computational Intelligence : Berlin, 23.-24. November 2023. 33. Workshop Computational Intelligence; Berlin, Germany; 23.11.-24.11.2023., S. 1 - 8. (Open Access)
  • Dusdal, Markus; Schulz, Richard; Haag, Christoph; Bartz-Beielstein, Thomas (2023): Konviviale Künstliche Intelligenz : Definition und Entwicklung eines Vorgehensmodells. CIplus. Köln: Technische Hochschule Köln (2/2023). (Open Access)
  • Hinterleitner, Alexander; Schulz, Richard; Hans, Lukas; Subbotin, Aleksandr; Barthel, Nils; Pütz, Noah Christoph; Rosellen, Martin; Bartz-Beielstein, Thomas; Geng, Christoph; Priss, Philipp (2023): Online Machine Learning and Surrogate-Model-Based Optimization for Improved Production Processes Using a Cognitive Architecture. In: Applied Sciences : Open Access Journal. Vol. 2023,13. (Open Access)
  • Chandrasekaran, Sowmya; Bartz-Beielstein, Thomas (2023): A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity. In: Applications of Evolutionary Computation: 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings. 26th International Conference on Applications of Evolutionary Computation, EvoApplications 2023, held as part of EvoStar 2023; Brno,Czech; 12.04.-14.04.2023., S. 426 - 441.
  • Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.) (2022): Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide. Singapore: Springer Nature. (Open Access)
  • Bartz-Beielstein, Thomas; Chandrasekaran, Sowmya; Rehbach, Frederik; Zaefferer, Martin (2022): Case Study I: Tuning Random Forest (Ranger). In: Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.): Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide. Singapore: Springer Nature, S. 187 - 220. (peer-reviewed/Open Access)
  • Bartz-Beielstein, Thomas; Chandrasekaran, Sowmya; Rehbach, Frederik (2022): Case Study III: Tuning of Deep Neural Networks. In: Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.): Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide. Singapore: Springer Nature, S. 235 - 269. (peer-reviewed/Open Access)
  • Bartz-Beielstein, Thomas; Chandrasekaran, Sowmya; Rehbach, Frederik (2022): Case Study II : Tuning of Gradient Boosting (xgboost). In: Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.): Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide. Singapore: Springer Nature, S. 221 - 234. (peer-reviewed/Open Access)
  • Zaefferer, Martin; Mersmann, Olaf; Bartz-Beielstein, Thomas (2022): Global Study : Influence of Tuning. In: Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.): Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide. Singapore: Springer Nature, S. 283 - 301. (peer-reviewed/Open Access)
  • Bartz-Beielstein, Thomas (2022): Hyperparameter Tuning and Optimization Applications. In: Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.): Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide. Singapore: Springer Nature, S. 165 - 175. (peer-reviewed/Open Access)
  • Rebolledo, Margarita; Zeeuwe, Daan; Bartz-Beielstein, Thomas; Eiben, Agoston Endre (2022): Co-Optimizing for Task Performance and Energy Efficiency in Evolvable Robots. In: Engineering Applications of Artificial Intelligence : The International Journal of Real-Time Automation. Vol. 113. (peer-reviewed/Open Access)
  • Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (2022): Tuning : Methodology. In: Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.): Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide. Singapore: Springer Nature, S. 7 - 26. (peer-reviewed/Open Access)
  • Bartz-Beielstein, Thomas; Mersmann, Olaf; Chandrasekaran, Sowmya (2022): Ranking and Result Aggregation. In: Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.): Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide. Singapore: Springer Nature, S. 121 - 161. (peer-reviewed/Open Access)
  • Bartz-Beielstein, Thomas; Zaefferer, Martin (2022): Hyperparameter Tuning Approaches. In: Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.): Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide. Singapore: Springer Nature, S. 71 - 119. (peer-reviewed/Open Access)
  • Bartz-Beielstein, Thomas; Zaefferer, Martin (2022): Models. In: Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.): Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide. Singapore: Springer Nature, S. 27 - 69. (peer-reviewed/Open Access)
  • Zaefferer, Martin; Chandrasekaran, Sowmya (2022): Case Study IV : Tuned Reinforcement Learning (in PYTHON). In: Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Hrsg.): Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide. Singapore: Springer Nature, S. 271 - 281. (Open Access)
  • Vodopija, Aljoša; Stork, Jörg; Bartz-Beielstein, Thomas; Filipič, Bogdan (2022): Elevator Group Control as a Constrained Multiobjective Optimization Problem. In: Applied Soft Computing : The Official Journal of the World Federation on Soft Computing (WFSC). Vol. 115. (peer-reviewed/Open Access)
  • Rehbach, Frederik; Zaefferer, Martin; Fischbach, Andreas; Rudolph, Gunter; Bartz-Beielstein, Thomas (2022): Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm. In: IEEE Transactions on Evolutionary Computation., S. 1 - 14. (peer-reviewed)
  • Bartz-Beielstein, Thomas; Dröscher, Marcel; Gür, Alpar; Hinterleitner, Alexander; Lawton, Tom; Mersmann, Olaf; Peeva, Dessislava; Reese, Lennard; Rehbach, Frederik; Rehbach, Nicolas; Sen, Amrita; Subbotin, Aleksandr; Zaefferer, Martin (2021): Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic. 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc., S. 728 - 735. (peer-reviewed)
  • Gentile, Lorenzo; Greco, Cristian; Minisci, Edmondo; Bartz-Beielstein, Thomas; Vasile, Massimiliano (2021): Stochastic Satellite Tracking with Constrained Budget via Structured-Chromosome Genetic Algorithms. In: Optimization and Engineering : International Multidisciplinary Journal to Promote Optimization Theory & Applications in Engineering Sciences. (peer-reviewed/Open Access)
  • Bartz, Eva; Zaefferer, Martin; Mersmann, Olaf; Bartz-Beielstein, Thomas (2021): Experimental Investigation and Evaluation of Model-Based Hyperparameter Optimization. (Open Access)
  • Rebolledo, Margarita; Eiben, Agoston Endre; Bartz-Beielstein, Thomas (2021): Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments. In: Castillo, Pedro A.; Laredo, Juan Luis Jiménez (Hrsg.): Applications of Evolutionary Computation : 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings. Cham: Springer (Lecture Notes in Computer Science), S. 373 - 387. (peer-reviewed)
  • Rebolledo, Margarita; Zeeuwe, Daan; Bartz-Beielstein, Thomas; Eiben, Agoston Endre (2021): Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots. In: Chicano, Francisco; Krawiec, Krzysztof (Hrsg.): GECCO '21 : Genetic and Evolutionary Computation Conference. New York: Association for Computing Machinery, S. 109 - 110. (peer-reviewed/Open Access)
  • Bartz-Beielstein, Thomas; Dröscher, Marcel; Gür, Alpar; Hinterleitner, Alexander; Mersmann, Olaf; Peeva, Dessislava Todorova; Reese, Lennard; Rehbach, Nicolas Alexander; Rehbach, Frederik; Sen, Amrita; Subbotin, Aleksandr; Zaefferer, Martin (2021): Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic : Optimization and Sensitivity Analysis. In: Chicano, Francisco; Krawiec, Krzysztof (Hrsg.): GECCO '21 : Genetic and Evolutionary Computation Conference. New York: Association for Computing Machinery, S. 293 - 294. (Open Access)
  • Stork, Jörg; Zaefferer, Martin; Eisler, Nils; Tichelmann, Patrick; Bartz-Beielstein, Thomas; Eiben, Agoston Endre (2021): Behavior-Based Neuroevolutionary Training in Reinforcement Learning. In: Chicano, Francisco; Krawiec, Krzysztof (Hrsg.): GECCO '21 : Genetic and Evolutionary Computation Conference. New York: Association for Computing Machinery, S. 1753 - 1761. (Open Access)
  • Bartz-Beielstein, Thomas; Rehbach, Frederik; Rebolledo, Margarita (2021): Tuning Algorithms for Stochastic Black-Box Optimization : State of the Art and Future Perspectives. In: Pardalos, Panos M.; Rasskazova, Varvara; Vrahatis, Michael N. (Hrsg.): Black Box Optimization, Machine Learning, and No-Free Lunch Theorems. Cham: Springer (Springer Optimization and Its Applications), S. 67 - 108.
  • Stork, Jörg; Wenzel, Philip; Landwein, Severin; Algorri, Maria Elena; Zaefferer, Martin; Kusch, Wolfgang; Staubach, Martin; Bartz-Beielstein, Thomas; Köhn, Hartmut; Dejager, Hermann; Wolf, Christian (2021): Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs. In: De.arXiv.org., S. 1 - 24. (Open Access)
  • Bartz-Beielstein, Thomas; Dröscher, Marcel; Gür, Alpar; Hinterleitner, Alexander; Mersmann, Olaf; Peeva, Dessislava; Reese, Lennard; Rehbach, Nicolas; Rehbach, Frederik; Sen, Amrita; Subbotin, Aleksandr; Zaefferer, Martin (2021): Resource Planning for Hospitals under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis. (Open Access)
  • Strohschein, Jan; Fischbach, Andreas; Bunte, Andreas; Faeskorn-Woyke, Heide; Moriz, Natalia; Bartz-Beielstein, Thomas (2021): Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems. In: The International Journal of Advanced Manufacturing Technology. Vol. 115, S. 3513 - 3532. (peer-reviewed/Open Access)
  • Fischbach, Andreas; Strohschein, Jan; Bunte, Andreas; Stork, Jörg; Faeskorn-Woyke, Heide; Moriz, Natalia; Bartz-Beielstein, Thomas (2020): CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. (Open Access)
  • Stork, Jörg; Zaefferer, Martin; Bartz-Beielstein, Thomas; Eiben, A. E. (2020): Understanding the Behavior of Reinforcement Learning Agents. In: Filipič, Bogdan; Minisci, Edmondo; Vasile, Massimiliano (Hrsg.): Bioinspired Optimization Methods and Their Applications : Proceedings. Cham: Springer International Publishing (Lecture Notes in Computer Science), S. 148 - 160. (peer-reviewed/Open Access)
  • Gentile, Lorenzo; Filippi, Gianluca; Minisci, Edmondo; Bartz-Beielstein, Thomas; Vasile, Massimiliano (2020): Preliminary Spacecraft Design by Means of Structured-Chromosome Genetic Algorithms. 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, S. 2107 - 2114. (Open Access)
  • Gentile, Lorenzo; Morales, Elisa; Quagliarella, Domenico; Minisci, Edmondo; Bartz-Beielstein, Thomas; Tognaccini, Renato (2020): High-Lift Devices Topology Optimisation using Structured-Chromosome Genetic Algorithm. 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, S. 1366 - 1374. (Open Access)
  • Strohschein, Jan; Fischbach, Andreas; Bunte, Andreas; Faeskorn-Woyke, Heide; Moriz, Natalia; Bartz-Beielstein, Thomas (2020): Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems. (Open Access)
  • Bartz-Beielstein, Thomas; Doerr, Carola; van der Berg, Daan; Bossek, Jakob; Chandrasekaran, Sowmya; Eftimov, Tome; Fischbach, Andreas; Kerschke, Pascal; Lopez-Ibanez, Manuel; Malan, Katherine M.; Moore, Jason H.; Naujoks, Boris; Orzechowski, Patryk; Volz, Vanessa; Wagner, Markus; Weise, Thomas (2020): Benchmarking in Optimization : Best Practice and Open Issues. (Open Access)
  • Bartz-Beielstein, Thomas; Zaefferer, Martin (2020): Big Data is often just Bad Data. In: Digital Xchange 2020; Bergisches Rheinland, Germany; 06.06.2020.
  • Rebolledo Coy, Margarita Alejandra; Chandrasekaran, Sowmya; Bartz-Beielstein, Thomas (2020): Technical Report: Flushing Strategies in Drinking Water Systems. (Open Access)
  • Chandrasekaran, Sowmya; Rebolledo Coy, Margarita Alejandra; Bartz-Beielstein, Thomas (2020): EventDetectR-An Open-Source Event Detection System. (Open Access)
  • Rebolledo Coy, Margarita Alejandra; Rehbach, Frederik; Eiben, Agoston Endre; Bartz-Beielstein, Thomas (2020): Parallelized Bayesian Optimization for Expensive Robot Controller Evolution. In: Bäck, Thomas; Preuss, Mike; Deutz, André; Wang, Hao; Doerr, Carola; Emmerich, Michael; Trautmann, Heike (Hrsg.): Parallel Problem Solving from Nature - PPSN XVI : Proceedings, Part I. Cham: Springer (Lecture Notes in Computer Science), S. 243 - 256.
  • Bartz, Eva; Bartz-Beielstein, Thomas; Rehbach, Frederik; Mersmann, Olaf; Mühlenhaus, Ralf; Schmallenbach, Ralf; Leisner, Sarah; Hahn, Nikola; Ortlieb, Friedhelm; Elvermann, Kaija (2020): Einsatz künstlicher Intelligenz in der Bedarfsplanung im Gesundheitswesen, hier in der Bedarfsplanung von Intensivbetten im Pandemiefall. Abstractbuch zum 20. Kongress der Deutschen Interdisziplinären Vereinigung für Intensiv- und Notfallmedizin e.V. Wissen schafft Vertrauen. Berlin: DIVI e.V., S. 99 - 100. (Open Access)
  • Rebolledo Coy, Margarita Alejandra; Chandrasekaran, Sowmya; Bartz-Beielstein, Thomas (2020): Technical Report: Flushing Strategies in Drinking Water Systems. Köln: Technische Hochschule Köln (11/2020). (peer-reviewed/Open Access)
  • Bartz-Beielstein, Thomas; Doerr, Carola; Bossek, Jakob; Chandrasekaran, Sowmya; Eftimov, Tome; Fischbach, Andreas; Kerschke, Pascal; Lopez-Ibanez, Manuel; Malan, Katherine M.; Moore, Jason H.; Naujoks, Boris; Orzechowski, Patryk; Volz, Vanessa; Wagner, Markus; Weise, Thomas (2020): Benchmarking in Optimization : Best Practice and Open Issues. Köln: Technische Hochschule Köln (2/2020). (peer-reviewed/Open Access)
  • Rehbach, Frederik; Gentile, Lorenzo; Bartz-Beielstein, Thomas (2020): Feature Selection for Surrogate Model-Based Optimization. Köln: Technische Hochschule Köln (03/2020). (peer-reviewed/Open Access)
  • Rebolledo Coy, Margarita Alejandra; Chandrasekaran, Sowmya; Bartz-Beielstein, Thomas (2020): Sensor Placement for Contamination Detection in Water Distribution Systems. Köln: Technische Hochschule Köln (10/2020). (peer-reviewed/Open Access)
  • Rebolledo Coy, Margarita Alejandra; Chandrasekaran, Sowmya; Bartz-Beielstein, Thomas (2020): Sensor Placement for Contamination Detection in Water Distribution Systems. (Open Access)
  • Rehbach, Frederik; Zaefferer, Martin; Naujoks, Boris; Bartz-Beielstein, Thomas (2020): Expected Improvement versus Predicted Value in Surrogate-Based Optimization. GECCO '20 : Proceedings of the 2020 Genetic and Evolutionary Computation Conference. New York: Association for Computing Machinery (GECCO '20), S. 868 - 876. (peer-reviewed/Open Access)
  • Bartz-Beielstein, Thomas; Rehbach, Frederik; Mersmann, Olaf; Bartz, Eva (2020): Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic. (Open Access)
  • Rebolledo Coy, Margarita Alejandra; Rehbach, Frederik; Eiben, Agoston Endre; Bartz-Beielstein, Thomas (2020): Parallelized Bayesian Optimization for Problems with Expensive Evaluation Functions. GECCO '20 : Proceedings of the 2020 Genetic and Evolutionary Computation Conference. New York: Association for Computing Machinery (GECCO '20), S. 231 - 232.
  • Bartz-Beielstein, Thomas; Bartz, Eva; Rehbach, Frederik; Mersmann, Olaf (2020): Optimization of High-dimensional Simulation Models Using Synthetic Data. (Open Access)
  • Peetz, Tom; Vogt, Sebastian; Zaefferer, Martin; Bartz-Beielstein, Thomas (2020): Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools. (Open Access)
  • Gentile, Lorenzo; Bartz-Beielstein, Thomas; Zaefferer, Martin (2020): Sequential Parameter Optimization for Mixed-Discrete Problems. In: Vasile, Massimiliano (Hrsg.): Optimization Under Uncertainty with Applications to Aerospace Engineering. Cham: Springer, S. 333 - 355.
  • Fischbach, Andreas; Bartz-Beielstein, Thomas (2020): Improving the Reliability of Test Functions Generators. In: Applied Soft Computing : The Official Journal of the World Federation on Soft Computing (WFSC). Vol. 92. (peer-reviewed)
  • Rebolledo Coy, Margarita Alejandra; Stoean, Ruxandra; Eiben, A. E.; Bartz-Beielstein, Thomas (2020): Hybrid Variable Selection and Support Vector Regression for Gas Sensor Optimization. In: Filipič, Bogdan; Minisci, Edmondo; Vasile, Massimiliano (Hrsg.): Bioinspired Optimization Methods and Their Applications : Proceedings. Cham: Springer International Publishing (Lecture Notes in Computer Science), S. 281 - 293. (peer-reviewed)
  • Stork, Jörg; Eiben, A. E.; Bartz-Beielstein, Thomas (2020): A New Taxonomy of Global Optimization Algorithms. In: Natural Computing. Vol. 21, S. 219 - 242. (Open Access)
  • Rehbach, Frederik; Zaefferer, Martin; Naujoks, Boris; Bartz-Beielstein, Thomas (2020): Expected Improvement versus Predicted Value in Surrogate-Based Optimization. (Open Access)
  • Fischbach, Andreas; Strohschein, Jan; Bunte, Andreas; Stork, Jörg; Faeskorn-Woyke, Heide; Moriz, Natalia; Bartz-Beielstein, Thomas (2020): CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems(1/2020). (Open Access)
  • Bartz, Eva; Zaefferer, Martin; Katagiri, Takeshi; Bartz-Beielstein, Thomas (2020): Architektur und Transport: Seillose, lineare Aufzüge und Künstliche Intelligenz. In: Transforming Cities : Urbane Systeme im Wandel. Vol. 2, S. 10 - 12.
  • Chandrasekaran, Sowmya; Rebolledo Coy, Margarita Alejandra; Bartz-Beielstein, Thomas (2020): EventDetectR – An Open-Source Event Detection System. Köln: Technische Hochschule Köln (9/2020). (peer-reviewed/Open Access)
  • Rehbach, Frederik; Gentile, Lorenzo; Bartz-Beielstein, Thomas (2020): Variable Reduction for Surrogate-Based Optimization. Köln: Technische Hochschule Köln (5/2020). (peer-reviewed/Open Access)
  • Rehbach, Frederik; Gentile, Lorenzo; Bartz-Beielstein, Thomas (2020): Variable Reduction for Surrogate-Based Optimization. GECCO '20 : Proceedings of the 2020 Genetic and Evolutionary Computation Conference. New York: Association for Computing Machinery (GECCO '20), S. 1177 - 1185.
  • Rehbach, Frederik; Zaefferer, Martin; Naujoks, Boris; Bartz-Beielstein, Thomas (2020): Expected Improvement versus Predicted Value in Surrogate-Based Optimization. Köln: Technische Hochschule Köln (4/2020). (peer-reviewed/Open Access)
  • Fischbach, Andreas; Strohschein, Jan; Bunte, Andreas; Stork, Jörg; Faeskorn-Woyke, Heide; Moriz, Natalia; Bartz-Beielstein, Thomas (2020): CAAI : A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-physical Production Systems. In: The International Journal of Advanced Manufacturing Technology. Vol. 111, S. 609 - 626. (peer-reviewed/Open Access)
  • Gentile, Lorenzo; Greco, Cristian; Minisci, Edmondo; Bartz-Beielstein, Thomas; Vasile, Massimiliano (2019): An Optimization Approach for Designing Optimal Tracking Campaigns for Low-resources Deep-space Missions. In: 70th International Astronautical Congress; Washington, D.C; 21.10.2019-25.10.2019. (peer-reviewed)
  • Friese, Martina; Bartz-Beielstein, Thomas; Bäck, Thomas; Naujoks, Boris; Emmerich, Michael (2019): Weighted Ensembles in Model-Based Global Optimization. In: Proceedings LeGo - 14th International Global Optimization Workshop. 14th International Global Optimization Workshop; Leiden, the Netherlands; 18.09.-21.09.2018. (peer-reviewed)
  • Zaefferer, Martin; Bartz-Beielstein, Thomas; Rudolph, Günter (2019): An Empirical Approach for Probing the Definiteness of Kernels. In: Soft Computing : A Fusion of Foundations, Methodologies and Applications. Vol. 23, S. 10939 - 10952. (peer-reviewed)
  • Bunte, Andreas; Fischbach, Andreas; Strohschein, Jan; Bartz-Beielstein, Thomas; Faeskorn-Woyke, Heide; Niggemann, Oliver (2019): Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In: De.arXiv.org. (Open Access)
  • Stork, Jörg; Zaefferer, Martin; Bartz-Beielstein, Thomas (2019): Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels. In: De.arXiv.org., S. 1 - 16. (peer-reviewed/Open Access)
  • Stork, Jörg; Zaefferer, Martin; Bartz-Beielstein, Thomas; Eiben, Agoston Endre (2019): Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning. In: De.arXiv.org., S. 1 - 9. (peer-reviewed/Open Access)
  • Bartz-Beielstein, Thomas (2019): Why We Need an AI-Resilient Society. In: De.arXiv.org. (Open Access)
  • Chugh, Tinkle; Rahat, Alma; Volz, Vanessa; Zaefferer, Martin (2019): Towards Better Integration of Surrogate Models and Optimizers. In: Bartz-Beielstein, Thomas; Filipič, Bogdan; Korošec, Peter; Talbi, El-Ghazali (Hrsg.): High-Performance Simulation-Based Optimization. Cham: Springer, S. 137 - 163.
  • Bartz-Beielstein, Thomas; Filipič, Bogdan; Korošec, Peter; Talbi, El-Ghazali (Hrsg.) (2019): High-Performance Simulation-Based Optimization. Cham: Springer.
  • Stork, Jörg; Friese, Martina; Zaefferer, Martin; Bartz-Beielstein, Thomas; Fischbach, Andreas; Breiderhoff, Beate; Naujoks, Boris; Tušar, Tea (2019): Open Issues in Surrogate-Assisted Optimization. In: Bartz-Beielstein, Thomas; Filipič, Bogdan; Korošec, Peter; Talbi, El-Ghazali (Hrsg.): High-Performance Simulation-Based Optimization. Cham: Springer, S. 225 - 244. (peer-reviewed)
  • Greco, Cristian; Gentile, Lorenzo; Filippi, Gianluca; Minisci, Edmondo; Bartz-Beielstein, Thomas (2019): Autonomous Generation of Observation Schedules for Tracking Satellites with Structured-Chromosome GA Optimisation. 2019 IEEE Congress on Evolutionary Computation. Piscataway, NJ: IEEE, S. 497 - 505.
  • Bunte, Andreas; Fischbach, Andreas; Strohschein, Jan; Bartz-Beielstein, Thomas; Faeskorn-Woyke, Heide; Niggemann, Oliver (2019): Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2019) : Proceedings. Piscataway: IEEE, S. 729 - 736. (peer-reviewed)
  • Gentile, Lorenzo; Greco, Cristian; Minisci, Edmondo; Bartz-Beielstein, Thomas; Vasile, Massimiliano (2019): Structured-chromosome GA Optimisation for Satellite Tracking. In: López-Ibáñez, Manuel (Hrsg.): GECCO' 19 : Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, S. 1955 - 1963. (peer-reviewed)
  • Greco, Cristian; Gentile, Lorenzo; Vasile, Massimiliano; Minisci, Edmondo; Bartz-Beielstein, Thomas (2019): Robust Particle Filter for Space Objects Tracking under Severe Uncertainty. In: 2019 AAS/AIAA Astrodynamics Specialist Conference; Portland, Maine; 11.08.-15.08.2019. (peer-reviewed)
  • Rehbach, Frederik; Gentile, Lorenzo; Bartz-Beielstein, Thomas (2019): Feature Selection for Surrogate Model-Based Optimization. In: López-Ibáñez, Manuel (Hrsg.): GECCO' 19 : Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, S. 399 - 400. (peer-reviewed)
  • Rehbach, Frederik; Gentile, Lorenzo; Bartz-Beielstein, Thomas (2019): Variablenreduktion für Surrogat-Modell basierte Optimierung. In: Hoffmann, Frank; Hüllermeier, Eyke; Mikut, Ralf (Hrsg.): Proceedings. 29. Workshop Computational Intelligence. Karlsruhe: KIT Scientific Publishing, S. 209 - 216. (peer-reviewed)
  • Stork, Jörg; Zaefferer, Martin; Bartz-Beielstein, Thomas (2019): Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels. In: Kaufmann, Paul; Castillo, Pedro A. (Hrsg.): Applications of Evolutionary Computation : 22nd International Conference, EvoApplications 2019. Cham: Springer, S. 504 - 519. (peer-reviewed/Open Access)
  • Stork, Jörg; Zaefferer, Martin; Rehbach, Frederik; Gentile, Lorenzo; Bartz-Beielstein, Thomas (2019): Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning. In: López-Ibáñez, Manuel (Hrsg.): GECCO' 19 : Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, S. 934 - 942. (peer-reviewed/Open Access)
  • Zaefferer, Martin; Stork, Jörg; Flasch, Oliver; Bartz-Beielstein, Thomas (2018): Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. In: Auger, Anne; Fonseca, Carlos M.; Lourenço, Nuno (Hrsg.): Parallel Problem Solving from Nature – PPSN XV : 15th International Conference, Coimbra, Portugal, September 8–12, 2018, Proceedings, Part II. Springer International Publishing (Theoretical Computer Science and General Issues), S. 220 - 231. (peer-reviewed/Open Access)
  • Zaefferer, Martin; Stork, Jörg; Flasch, Oliver; Bartz-Beielstein, Thomas (2018): Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. In: De.arXiv.org. (Open Access)
  • Stork, Jörg; Eiben, A. E.; Bartz-Beielstein, Thomas (2018): A new Taxonomy of Continuous Global Optimization Algorithms. In: De.arXiv.org. (Open Access)
  • Zaefferer, Martin; Bartz-Beielstein, Thomas; Rudolph, Günter (2018): An Empirical Approach For Probing the Definiteness of Kernels. In: De.arXiv.org. (Open Access)
  • Rebolledo Coy, Margarita Alejandra; Bartz-Beielstein, Thomas (2018): Modelling Zero-inflated Rainfall Data through the Use of Gaussian Process and Bayesian Regression(5/2018). (peer-reviewed/Open Access)
  • Stork, Jörg; Bartz-Beielstein, Thomas (2018): Global Optimization Strategies : Analogies to Human Behavior(2/2018). (Open Access)
  • Stork, Jörg; Eiben, A. E.; Bartz-Beielstein, Thomas (2018): A New Taxonomy of Continuous Global Optimization Algorithms(4/2018). (Open Access)
  • Bartz-Beielstein, Thomas; Zaefferer, Martin; Pham, Quoc Cuong (2018): Optimization via Multimodel Simulation. Köln: Technische Hochschule Köln (1/2018). (peer-reviewed/Open Access)
  • Breiderhoff, Beate; Naujoks, Boris; Bartz-Beielstein, Thomas; Filipič, Bogdan (2018): Expensive Optimisation Exemplified by ECG Simulator Parameter Tuning. In: Proceedings of the 21st International Multiconference INFORMATION SOCIETY – IS 2018 : Volume D, Zbornik 21. mednarodne multikonference INFORMACIJSKA DRUŽBA - IS 2018 : Zvezek D. International Conference on High-Performance Optimization in Industry, HPOI 2018; Ljubljana, Slovenia; 08.10.-12.10.2018., S. 15 - 19. (peer-reviewed/Open Access)
  • Filipič, Bogdan; Bartz-Beielstein, Thomas (Hrsg.) (2018): Proceedings of the 21st International Multiconference INFORMATION SOCIETY – IS 2018 : Volume D, Zbornik 21. mednarodne multikonference INFORMACIJSKA DRUŽBA - IS 2018 : Zvezek D. (peer-reviewed/Open Access)
  • Bartz-Beielstein, Thomas; Filipič, Bogdan; Korošec, Peter; Melab, Nouredine; Naujoks, Boris; Talbi, El-Ghazali (2018): Potential Complex Optimisation Problems in Science and Industry. (Open Access)
  • Bartz-Beielstein, Thomas; Zaefferer, Martin; Pham, Quoc Cuong (2018): Optimization via Multimodel Simulation : A New Approach to Optimization of Cyclone Separator Geometries. In: Structural and Multidisciplinary Optimization : Research Journal. Vol. 58, S. 919 - 933. (peer-reviewed/Open Access)
  • Schagen, André; Rehbach, Frederik; Bartz-Beielstein, Thomas (2018): Model-Based Evolutionary Algorithm for Optimization of Gas Distribution Systems in Power Plant Electrostatic Precipitators. In: VGB PowerTech : International Journal for Generation and Storage of Electricity and Heat. Vol. 98, S. 65 - 72.
  • Schagen, André; Rehbach, Frederik; Bartz-Beielstein, Thomas (2018): Modellgestützter Evolutionärer Algorith­mus zur Optimierung von Gasverteilsystemen in Elektroabscheidern von Kohlekraftwerken. In: VGB PowerTech : International Journal for Generation and Storage of Electricity and Heat., S. 65 - 72.
  • Rehbach, Frederik; Zaefferer, Martin; Stork, Jörg; Bartz-Beielstein, Thomas (2018): Comparison of Parallel Surrogate-Assisted Optimization Approaches(7/2018). (peer-reviewed/Open Access)

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