Prof. Dr. Thomas Bartz-Beielstein

Dr. rer. nat.
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
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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.
  • 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-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. Institute of Electrical and Electronics Engineers Inc., S. 728 - 735. (peer-reviewed)
  • 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)
  • Bartz, Eva; Zaefferer, Martin; Mersmann, Olaf; Bartz-Beielstein, Thomas (2021): Experimental Investigation and Evaluation of Model-Based Hyperparameter Optimization. (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)
  • Rebolledo Coy, Margarita Alejandra; Chandrasekaran, Sowmya; Bartz-Beielstein, Thomas (2020): Sensor Placement for Contamination Detection in Water Distribution Systems. (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)
  • 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(CIplus). (Open Access)
  • Rehbach, Frederik; Zaefferer, Martin; Naujoks, Boris; Bartz-Beielstein, Thomas (2020): Expected Improvement versus Predicted Value in Surrogate-Based Optimization. (Open Access)
  • 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., S. 1 - 24. (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)
  • Bartz-Beielstein, Thomas; Zaefferer, Martin (2020): Big Data is often just Bad Data. In: Digital Xchange 2020; Bergisches Rheinland, Germany; 06.06.2020.
  • 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)
  • Rehbach, Frederik; Gentile, Lorenzo; Bartz-Beielstein, Thomas (2020): Variable Reduction for Surrogate-Based Optimization. (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.
  • 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)
  • Rehbach, Frederik; Gentile, Lorenzo; Bartz-Beielstein, Thomas (2020): Feature Selection for Surrogate Model-Based Optimization. (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.
  • 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; 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 (CIplus). (Open Access)
  • 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)
  • Chandrasekaran, Sowmya; Rebolledo Coy, Margarita Alejandra; Bartz-Beielstein, Thomas (2020): EventDetectR – An Open-Source Event Detection System. Köln: Technische Hochschule Köln (CIplus). (Open Access)
  • Rebolledo Coy, Margarita Alejandra; Chandrasekaran, Sowmya; Bartz-Beielstein, Thomas (2020): Sensor Placement for Contamination Detection in Water Distribution Systems. (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)
  • Rebolledo Coy, Margarita Alejandra; Chandrasekaran, Sowmya; Bartz-Beielstein, Thomas (2020): Technical Report: Flushing Strategies in Drinking Water Systems. Köln: Technische Hochschule Köln (CIplus). (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)
  • 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)
  • 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; 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)
  • 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.
  • Bartz-Beielstein, Thomas; Bartz, Eva; Rehbach, Frederik; Mersmann, Olaf (2020): Optimization of High-dimensional Simulation Models Using Synthetic Data. (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)
  • Bartz-Beielstein, Thomas (2019): Why We Need an AI-Resilient Society. In: De.arxiv.org. (Open Access)
  • Bartz-Beielstein, Thomas; Filipič, Bogdan; Korošec, Peter; Talbi, El-Ghazali (Hrsg.) (2019): High-Performance Simulation-Based Optimization. Cham: Springer.
  • 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.
  • 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). Piscataway: IEEE, S. 729 - 736.
  • 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)
  • 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: IEEE, S. 497 - 505.
  • 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)
  • 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.
  • 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)
  • 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.
  • 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.
  • 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. (Open Access)
  • 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)
  • 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.
  • 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. (Open Access)
  • Schagen, André; Rehbach, Frederik; Bartz-Beielstein, Thomas (2018): Modellgestützter Evolutionärer Algorith­mus zur Optimierung von Gasverteilsystemen in Elektroabscheidern von Kohlekraftwerken. In: VGB powertech., S. 65 - 72.
  • 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. (Open Access)
  • Zaefferer, Martin; Bartz-Beielstein, Thomas; Rudolph, Günter (2018): An Empirical Approach for Probing the Definiteness of Kernels. In: Soft computing. Vol. 55, S. 154. (Open Access)
  • Stork, Jörg; Eiben, A. E.; Bartz-Beielstein, Thomas (2018): A New Taxonomy of Continuous Global Optimization Algorithms(4/2018). (Open Access)
  • Stork, Jörg; Zaefferer, Martin; Bartz-Beielstein, Thomas (2018): Distance-based Kernels for Surrogate Model-based Neuroevolution. In: De.arxiv.org. (Open Access)
  • Stork, Jörg; Bartz-Beielstein, Thomas (2018): Global Optimization Strategies : Analogies to Human Behavior(2/2018). (Open Access)
  • Bartz-Beielstein, Thomas; Zaefferer, Martin; Pham, Quoc Cuong (2018): Optimization via Multimodel Simulation. Köln: Technische Hochschule Köln (1/2018). (Open Access)
  • Rehbach, Frederik; Zaefferer, Martin; Stork, Jörg; Bartz-Beielstein, Thomas (2018): Comparison of Parallel Surrogate-Assisted Optimization Approaches(7/2018). (Open Access)
  • Rehbach, Frederik; Zaefferer, Martin; Stork, Jörg; Bartz-Beielstein, Thomas (2018): Comparison of Parallel Surrogate-Assisted Optimization Approaches. In: Takadama, Keiki; Aguirre, Hernan (Hrsg.): Proceeding of the Genetic and Evolutionary Computation Conference. New York, NY: ACM, S. 1348 - 1355. (Open Access)
  • Schagen, André; Rehbach, Frederik; Bartz-Beielstein, Thomas (2018): Modellgestützter Evolutionärer Algorith­mus zur Optimierung von Gasverteilsystemen in Elektroabscheidern von Kohlekraftwerken. In: VGB powertech., S. 65 - 72.
  • Gentile, Lorenzo; Zaefferer, Martin; Giugliano, Dario; Chen, Haofeng; Bartz-Beielstein, Thomas (2018): Surrogate Assisted Optimization of Particle Reinforced Metal Matrix Composites. In: Takadama, Keiki; Aguirre, Hernan (Hrsg.): Proceeding of the Genetic and Evolutionary Computation Conference. New York, NY: ACM, S. 1238 - 1245.
  • Rebolledo Coy, Margarita Alejandra; Bartz-Beielstein, Thomas (2018): Modelling Zero-inflated Rainfall Data through the Use of Gaussian Process and Bayesian Regression(5/2018). (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. (Open Access)
  • Heinerman, Jacqueline; Stork, Jörg; Rebolledo Coy, Margarita Alejandra; Hubert, Julien; Eiben, A. E.; Bartz-Beielstein, Thomas; Haasdijk, Evert (2017): Is Social Learning More than Parameter Tuning?. GECCO'17 : Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, S. 63 - 64.
  • Bartz-Beielstein, Thomas; Zaefferer, Martin (2017): Model-based Methods for Continuous and Discrete Global Optimization. In: Applied soft computing. Vol. 55, S. 154 - 167.
  • Bartz-Beielstein, Thomas; Blaurock, Jochen; Krey, Sebastian; Fu, Xixi; Kallenbach, Niclas; Möller, Marc (2017): Structural Health Monitoring von Faserverbundstrukturen mittels Piezosensoren : Untersuchungen zum experimentellen Design. Köln: Technische Universität Köln (2/2017). (Open Access)
  • Heinerman, Jacqueline; Stork, Jörg; Rebolledo Coy, Margarita Alejandra; Hubert, Julien; Bartz-Beielstein, Thomas; Eiben, A. E.; Haasdijk, Evert (2017): Can Social Learning Increase Learning Speed, Performance or Both?. Proceedings of the 14th European Conference on Artificial Life ECAL 2017. Cambridge, MA: MIT Press, S. 200 - 207.
  • Coy Rebolledo, Margarita Alejandra; Baez, Oscar Manuel; Bartz-Beielstein, Thomas; Ribbe, Lars (2017): Bias-Correction of Satellite Rainfall Estimates Through the Use of Metamodels using Gaussian Process and Bayesian Regression. A Case Study for the Imperial Basin (Chile). In: Hoffmann, Frank; Hüllermeier, E.; Mikut, Ralf (Hrsg.): Proceedings 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. Karlsruhe: Kit Scientific Publishing, S. 261 - 277.
  • Moritz, Steffen; Bartz-Beielstein, Thomas; Strohschein, Jan; Seger, Ralf; Gross, Dimitri (2017): Trinkwassersicherheit mit Predictive Analytics und Oracle. Köln: Technische Hochschule Köln (4/2017).
  • Stork, Jörg; Zaefferer, Martin; Fischbach, Andreas; Rehbach, Frederik; Bartz-Beielstein, Thomas (2017): Surrogate-Assisted Learning of Neural Networks. Köln: Technische Hochschule Köln (8/2017). (Open Access)
  • Zaefferer, Martin; Fischbach, Andreas, Naujoks, Boris; Bartz-Beielstein, Thomas (2017): Simulation-based Test Functions for Optimization Algorithms. Köln: Technische Hochschule Köln (3/2017). (Open Access)
  • Zaefferer, Martin; Fischbach, Andreas; Naujoks, Boris; Bartz-Beielstein, Thomas (2017): Simulation-based Test Functions for Optimization Algorithms. In: Bosman, Peter A. N. (Hrsg.): GECCO'17 : Proceedings of the 2017 Genetic and Evolutionary Computation Conference, Berlin 15.-19.07.2017. New York: Association for Computing Machinery, S. 905 - 912.
  • Bartz-Beielstein, Thomas; Gentile, Lorenzo; Zaefferer, Martin (2017): In a Nutshell : Sequential Parameter Optimization. Köln: Technische Hochschule Köln (7/2017). (Open Access)
  • Sardá-Espinosa, Alexis; Subbiaha, Subanatarajan; Bartz-Beielstein, Thomas (2017): Conditional Inference Trees for the Knowledge Extraction from Motor Health Condition Data. Köln: Technische Hochschule Köln (1/2017). (Open Access)
  • Moritz, Steffen; Bartz-Beielstein, Thomas (2017): imputeTS : Time Series Missing Value Imputation in R. In: The R Journal. Vol. 9, S. 207 - 218.
  • Bartz-Beielstein, Thomas; Moritz, Steffen; Strohschein, Jan; Winterberg, T.; Gross, Dimitri; Seger, Ralf (2017): Trinkwassersicherheit mit Predictive Analytics und Oracle. In: Business News., S. 18 - 23.
  • Krey, S.; Bartz-Beielstein, Thomas; Fu, Y.; Gorec, C. (2017): Structural Health Monitoring for Resource : Efficient Usage of Fibre-reinforced Plastic. In: Kestler, H.; Lausser, L.; Kraus, J.; Schmid, M.; Fürstberger, A. (Hrsg.): Statistical Computing 2017 : Abstracts der 49. Arbeitstagung der Arbeitsgruppen Statistical Computing (GMDS/IBS-DR), Klassifikation und Datenanalyse in den Biowissenschaften (GfKl) - 23.07.-25.07.2017, Schloss Reisensburg (Günzburg). Ulm: Universität Ulm, Univ., Fak. für Informatik, S. 9.
  • Chandrasekaran, Sowmya; Zaefferer, Martin; Moritz, Steffen; Stork, Jörg; Friese, Martina; Fischbach, Andreas; Bartz-Beielstein, Thomas (2016): Data Processing : A New Algorithm for Univariate Imputation Designed Specifically for Industrial Needs. In: Hoffmann, Frank; Hüllermeier, E.; Mikut, Ralf (Hrsg.): Proceedings 26. Workshop Computational Intelligence : Dortmund, 26. - 27. November 2015. Karlsruhe, Baden: KIT Scientific Publishing, S. 77 - 96.
  • Bartz-Beielstein, Thomas; Zaefferer, Martin (2016): Model-based Methods for Continuous and Discrete Global Optimization(8/2016).
  • Bartz-Beielstein, Thomas (2016): Stacked Generalization of Surrogate Models - A Practical Approach(5/2016).
  • Bartz-Beielstein, Thomas (2016): Forschendes Lernen - vom Bachelor zur Promotion in den Ingenieurswissenschaften. In: Heuchemer, Sylvia; Szczyrba, Birgit (Hrsg.): universitas in projects : Lehren und Lernen auf Augenhöhe. TH-Köln: DUZ Verlags- und Medienhaus GmbH, S. 143 - 170.
  • Bartz-Beielstein, Thomas (2016): EASD-experimental Algorithmics for Streaming Data(2/2016).
  • Bartz-Beielstein, Thomas (2016): Experimental Algorithmics Applied to On-line Machine Learning. In: Papa, Gregor; Mernik, Marjan (Hrsg.): BIOMA 2016. Ljubljana: Jožef Stefan Institute, S. 93 - 104.
  • Bartz-Beielstein, Thomas (2016): A Survey of Model-based Methods for Global Optimization. In: Papa, Gregor; Mernik, Marjan (Hrsg.): BIOMA 2016. Ljubljana: Jožef Stefan Institute, S. 3 - 20.
  • Jung, Christian; Zaefferer, Martin; Bartz-Beielstein, Thomas; Rudolph, Günter (2016): Metamodel-based Optimization of Hot Rolling Processes in the Metal Industry. In: The International Journal of Advanced Manufacturing Technology. Vol. 90, S. 421 - 435. (Open Access)
  • Doerr, Carola; Bredeche, Nicolas; Alba, Enrique; Bartz-Beielstein, Thomas; Brockhoff, Dimo; Doerr, Benjamin; Eiben, Gusz; Epitropakis, Michael G.; Fonseca, Carlos M.; Guerreiro, Andreia, Haasdijk, Evert; Heinerman, Jacqueline; Hubert, Julien; Lehre, Per Kristian; Malagò, Luigi; Merelo, J. J.; Miller, Julian; Naujoks, Boris; Oliveto, Pietro; Picek, Stjepan; Pillay, Nelishia; Preuss, Mike; Ryser-Welch, Patricia; Squillero, Giovanni, Stork, Jörg; Sudholt, Dirk; Tonda, Alberto; Whitley, Darrell; Zaefferer, Martin (2016): Tutorials at PPSN 2016. In: Handl, Julia; Hart, Emma; Lewis, Peter R.; López-Ibáñez, Manuel; Ochoa, Gabriela; Paechter, Ben (Hrsg.): Parallel Problem Solving from Nature - PPSN XIV : 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. United Kingdom: Springer International Publishing, Springer, S. 1012 - 1022.
  • Friese, Martina; Bartz-Beielstein, Thomas; Emmerich, Michael (2016): Building Ensembles of Surrogates by Optimal Convex Combination. In: Papa, Gregor; Mernik, Marjan (Hrsg.): BIOMA 2016. Ljubljana: Jožef Stefan Institute, S. 131 - 143.

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