Thomas Bartz-Beielstein

141 papers A 15B 14C 3Journal 54Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MuViS: Multimodal Virtual Sensing Benchmark. CoRR Jens Uwe Brandt, Noah Christoph Pütz, Jobel Jose George, Niharika Vinay Kumar, Elena Raponi, Marc Hilbert, Thomas Bäck, Thomas Bartz-Beielstein
2026	J	`jnl`	Physics-based Approximation and Prediction of Speedlines in Compressor Performance Maps. CoRR Abdul-Malik Akiev, Danyal Ergür, Alexander Schirger, Matthias Müller, Alexander Hinterleitner, Thomas Bartz-Beielstein
2025	—	`conf`	Automated Prediction of Compressor Performance Maps: Surrogate-Based Optimization with RNNs for Enhanced Extrapolation and Interpolation. GECCO Companion Richard Schulz, Alexander Hinterleitner, Noah Christoph Pütz, Jens Uwe Brandt, Matthias Müller, Thomas Bartz-Beielstein
2025	J	`jnl`	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact. CoRR Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie
2025	J	`jnl`	Multi-Objective Optimization and Hyperparameter Tuning With Desirability Functions. CoRR Thomas Bartz-Beielstein
2025	C	`conf`	ShapeFuture - Technical Progress After Year 1. DSD Norbert Druml, Martin Gschwandtner, Mayeul Jeannin, Rainer Matischek, Edgars Lielamurs, Maksis Celitans, Kaspars Ozols, Nurullah Demiralay, Besir Tayfur, Ismail Sinan Gulbas, Nadir Kucuk, Isa Kiyat, Yahya Nasolo, Jens Brandt, Noah Christoph Pütz, Thomas Bartz-Beielstein, Jose Isola, Nikola Mandic, Francesca Flamigni, Alexander Kuehhas, Gianluca Brilli, Paolo Burgio, Giacomo Paolieri, Jorge Villagra, Álvaro Flores Cueto, José Antonio Sánchez, Jacopo Sini, Massimo Violante, Lorenzo Giraudi, Paolo Santero, Uwe Kölbel, Moritz Schaffenroth, Panu Sjövall, Jarno Vanne, Morten Larsen, Nergis Gizem Yilmaz, Ziya Uygar Yengin, George Dimitrakopoulos
2025	—	`conf`	Surrogate Model-Based Multi-Objective Optimization Using Desirability Functions. GECCO Companion Thomas Bartz-Beielstein
2025	J	`jnl`	Tuning for Trustworthiness - Balancing Performance and Explanation Consistency in Neural Network Optimization. CoRR Alexander Hinterleitner, Thomas Bartz-Beielstein
2024	J	`jnl`	A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity. CoRR Sowmya Chandrasekaran, Thomas Bartz-Beielstein
2024	J	`jnl`	Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes. CoRR Thomas Bartz-Beielstein, Axel Wellendorf, Noah Pütz, Jens Uwe Brandt, Alexander Hinterleitner, Richard Schulz, Richard Scholz, Olaf Mersmann, Robin Knabe
2024	J	`jnl`	Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution. CoRR Alexander Hinterleitner, Thomas Bartz-Beielstein, Richard Schulz, Sebastian Spengler, Thomas Winter, Christoph Leitenmeier
2024	J	`jnl`	Simplifying Hyperparameter Tuning in Online Machine Learning - The spotRiverGUI. CoRR Thomas Bartz-Beielstein
2023	—	`conf`	A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity. EvoApplications@EvoStar Sowmya Chandrasekaran, Thomas Bartz-Beielstein
2023	—	`ch.`	Case Study I: Tuning Random Forest (Ranger). Hyperparameter Tuning for Machine and Deep Learning with R Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach, Martin Zaefferer
2023	—	`ch.`	Case Study II: Tuning of Gradient Boosting (xgboost). Hyperparameter Tuning for Machine and Deep Learning with R Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach
2023	—	`ch.`	Case Study III: Tuning of Deep Neural Networks. Hyperparameter Tuning for Machine and Deep Learning with R Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach
2023	—	`ch.`	Global Study: Influence of Tuning. Hyperparameter Tuning for Machine and Deep Learning with R Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein
2023	—	`ch.`	Hyperparameter Tuning Approaches. Hyperparameter Tuning for Machine and Deep Learning with R Thomas Bartz-Beielstein, Martin Zaefferer
2023	J	`jnl`	Hyperparameter Tuning Cookbook: A guide for scikit-learn, PyTorch, river, and spotPython. CoRR Thomas Bartz-Beielstein
2023	—	`ch.`	Hyperparameter Tuning and Optimization Applications. Hyperparameter Tuning for Machine and Deep Learning with R Thomas Bartz-Beielstein
2023	—	`book`	Hyperparameter Tuning for Machine and Deep Learning with R - A Practical Guide Eva Bartz, Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann
2023	—	`ch.`	Models. Hyperparameter Tuning for Machine and Deep Learning with R Thomas Bartz-Beielstein, Martin Zaefferer
2023	J	`jnl`	PyTorch Hyperparameter Tuning - A Tutorial for spotPython. CoRR Thomas Bartz-Beielstein
2023	—	`ch.`	Ranking and Result Aggregation. Hyperparameter Tuning for Machine and Deep Learning with R Thomas Bartz-Beielstein, Olaf Mersmann, Sowmya Chandrasekaran
2023	—	`ch.`	Tuning: Methodology. Hyperparameter Tuning for Machine and Deep Learning with R Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann
2022	J	`jnl`	A new taxonomy of global optimization algorithms. Nat. Comput. Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein
2022	J	`jnl`	Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm. IEEE Trans. Evol. Comput. Frederik Rehbach, Martin Zaefferer, Andreas Fischbach, Günter Rudolph, Thomas Bartz-Beielstein
2022	J	`jnl`	Co-optimizing for task performance and energy efficiency in evolvable robots. Eng. Appl. Artif. Intell. Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben
2022	J	`jnl`	Elevator group control as a constrained multiobjective optimization problem. Appl. Soft Comput. Aljosa Vodopija, Jörg Stork, Thomas Bartz-Beielstein, Bogdan Filipic
2021	B	`conf`	Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments. EvoApplications Margarita Rebolledo, A. E. Eiben, Thomas Bartz-Beielstein
2021	J	`jnl`	Behavior-based Neuroevolutionary Training in Reinforcement Learning. CoRR Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben
2021	—	`conf`	Behavior-based neuroevolutionary training in reinforcement learning. GECCO Companion Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben
2021	J	`jnl`	Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization. CoRR Eva Bartz, Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein
2021	J	`jnl`	Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots. CoRR Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben
2021	—	`conf`	Impact of energy efficiency on the morphology and behaviour of evolved robots. GECCO Companion Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben
2021	B	`conf`	Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic. CEC Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Tom Lawton, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer
2021	J	`jnl`	Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis. CoRR Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer
2021	—	`conf`	Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis. GECCO Companion Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, A. Sen, Aleksandr Subbotin, Martin Zaefferer
2021	J	`jnl`	Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT. CoRR Thomas Bartz-Beielstein
2021	J	`jnl`	Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs. CoRR Jörg Stork, Philip Wenzel, Severin Landwein, María-Elena Algorri, Martin Zaefferer, Wolfgang Kusch, Martin Staubach, Thomas Bartz-Beielstein, Hartmut Köhn, Hermann Dejager, Christian Wolf
2020	J	`jnl`	Benchmarking in Optimization: Best Practice and Open Issues. CoRR Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel López-Ibáñez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise
2020	J	`jnl`	CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. CoRR Andreas Fischbach, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein
2020	J	`jnl`	Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems. CoRR Jan Strohschein, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein
2020	J	`jnl`	EventDetectR - An Open-Source Event Detection System. CoRR Sowmya Chandrasekaran, Margarita Rebolledo, Thomas Bartz-Beielstein
2020	J	`jnl`	Expected Improvement versus Predicted Value in Surrogate-Based Optimization. CoRR Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein
2020	A	`conf`	Expected improvement versus predicted value in surrogate-based optimization. GECCO Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein
2020	B	`conf`	High-Lift Devices Topology Optimisation using Structured-Chromosome Genetic Algorithm. CEC Lorenzo Gentile, Elisa Morales, Domenico Quagliarella, Edmondo A. Minisci, Thomas Bartz-Beielstein, Renato Tognaccini
2020	—	`book`	High-Performance Simulation-Based Optimization Thomas Bartz-Beielstein, Bogdan Filipic, Peter Korosec, El-Ghazali Talbi
2020	J	`jnl`	Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic. CoRR Thomas Bartz-Beielstein, Frederik Rehbach, Olaf Mersmann, Eva Bartz
2020	—	`conf`	Hybrid Variable Selection and Support Vector Regression for Gas Sensor Optimization. BIOMA Margarita Rebolledo, Ruxandra Stoean, A. E. Eiben, Thomas Bartz-Beielstein
2020	J	`jnl`	Improving the reliability of test functions generators. Appl. Soft Comput. Andreas Fischbach, Thomas Bartz-Beielstein
2020	—	`ch.`	Open Issues in Surrogate-Assisted Optimization. High-Performance Simulation-Based Optimization Jörg Stork, Martina Friese, Martin Zaefferer, Thomas Bartz-Beielstein, Andreas Fischbach, Beate Breiderhoff, Boris Naujoks, Tea Tusar
2020	J	`jnl`	Optimization of High-dimensional Simulation Models Using Synthetic Data. CoRR Thomas Bartz-Beielstein, Eva Bartz, Frederik Rehbach, Olaf Mersmann
2020	—	`conf`	Parallelized Bayesian Optimization for Expensive Robot Controller Evolution. PPSN (1) Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein
2020	—	`conf`	Parallelized bayesian optimization for problems with expensive evaluation functions. GECCO Companion Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein
2020	B	`conf`	Preliminary spacecraft design by means of Structured-Chromosome Genetic Algorithms. CEC Lorenzo Gentile, Gianluca Filippi, Edmondo A. Minisci, Thomas Bartz-Beielstein, Massimiliano Vasile
2020	J	`jnl`	Sensor Placement for Contamination Detection in Water Distribution Systems. CoRR Margarita Alejandra Rebolledo Coy, Sowmya Chandrasekaran, Thomas Bartz-Beielstein
2020	J	`jnl`	Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools. CoRR Tom Peetz, Sebastian Vogt, Martin Zaefferer, Thomas Bartz-Beielstein
2020	J	`jnl`	Technical Report: Flushing Strategies in Drinking Water Systems. CoRR Margarita Rebolledo, Sowmya Chandrasekaran, Thomas Bartz-Beielstein
2020	—	`conf`	Understanding the Behavior of Reinforcement Learning Agents. BIOMA Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
2020	A	`conf`	Variable reduction for surrogate-based optimization. GECCO Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein
2019	J	`jnl`	An empirical approach for probing the definiteness of kernels. Soft Comput. Martin Zaefferer, Thomas Bartz-Beielstein, Günter Rudolph
2019	B	`conf`	Autonomous Generation of Observation Schedules for Tracking Satellites with Structured-Chromosome GA Optimisation. CEC Cristian Greco, Lorenzo Gentile, Gianluca Filippi, Edmondo A. Minisci, Massimiliano Vasile, Thomas Bartz-Beielstein
2019	C	`conf`	Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. ETFA Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann
2019	J	`jnl`	Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. CoRR Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann
2019	—	`conf`	Feature selection for surrogate model-based optimization. GECCO (Companion) Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein
2019	B	`conf`	Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels. EvoApplications Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
2019	J	`jnl`	Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels. CoRR Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
2019	—	`conf`	Structured-chromosome GA optimisation for satellite tracking. GECCO (Companion) Lorenzo Gentile, Cristian Greco, Edmondo A. Minisci, Thomas Bartz-Beielstein, Massimiliano Vasile
2019	J	`jnl`	Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning. CoRR Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
2019	A	`conf`	Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning. GECCO Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
2019	J	`jnl`	Why we need an AI-resilient society. CoRR Thomas Bartz-Beielstein
2018	J	`jnl`	A new Taxonomy of Continuous Global Optimization Algorithms. CoRR Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein
2018	J	`jnl`	An Empirical Approach For Probing the Definiteness of Kernels. CoRR Martin Zaefferer, Thomas Bartz-Beielstein, Günter Rudolph
2018	J	`jnl`	Bridging Theory and Practice Through Modular Graphical User Interfaces. J. Multim. Process. Technol. Frederik Rehbach, Jörg Stork, Thomas Bartz-Beielstein
2018	A	`conf`	Comparison of parallel surrogate-assisted optimization approaches. GECCO Frederik Rehbach, Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein
2018	J	`jnl`	Distance-based Kernels for Surrogate Model-based Neuroevolution. CoRR Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
2018	—	`conf`	Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. PPSN (2) Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein
2018	J	`jnl`	Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. CoRR Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein
2018	A	`conf`	Surrogate assisted optimization of particle reinforced metal matrix composites. GECCO Lorenzo Gentile, Martin Zaefferer, Dario Giugliano, Haofeng Chen, Thomas Bartz-Beielstein
2017	—	`conf`	Can social learning increase learning speed, performance or both? ECAL Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, Thomas Bartz-Beielstein, A. E. Eiben, Evert Haasdijk
2017	J	`jnl`	Conditional inference trees for knowledge extraction from motor health condition data. Eng. Appl. Artif. Intell. Alexis Sardá, Subanatarajan Subbiah, Thomas Bartz-Beielstein
2017	J	`jnl`	In a Nutshell: Sequential Parameter Optimization. CoRR Thomas Bartz-Beielstein, Lorenzo Gentile, Martin Zaefferer
2017	—	`conf`	Is social learning more than parameter tuning? GECCO (Companion) Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A. E. Eiben, Thomas Bartz-Beielstein, Evert Haasdijk
2017	J	`jnl`	Model-based methods for continuous and discrete global optimization. Appl. Soft Comput. Thomas Bartz-Beielstein, Martin Zaefferer
2017	A	`conf`	Simulation-based test functions for optimization algorithms. GECCO Martin Zaefferer, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein
2017	J	`jnl`	imputeTS: Time Series Missing Value Imputation in R. R J. Steffen Moritz, Thomas Bartz-Beielstein
2016	A	`conf`	Efficient Global Optimization with Indefinite Kernels. PPSN Martin Zaefferer, Thomas Bartz-Beielstein
2016	J	`jnl`	Multi-fidelity modeling and optimization of biogas plants. Appl. Soft Comput. Martin Zaefferer, Daniel Gaida, Thomas Bartz-Beielstein
2016	A	`conf`	Tutorials at PPSN 2016. PPSN Carola Doerr, Nicolas Bredèche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis, Carlos M. Fonseca, Andreia P. Guerreiro, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malagò, Juan Julián Merelo Guervós, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer
2015	J	`jnl`	Comparison of different Methods for Univariate Time Series Imputation in R. CoRR Steffen Moritz, Alexis Sardá, Thomas Bartz-Beielstein, Martin Zaefferer, Jörg Stork
2015	—	`ch.`	How to Create Generalizable Results. Handbook of Computational Intelligence Thomas Bartz-Beielstein
2014	A	`conf`	Distance Measures for Permutations in Combinatorial Efficient Global Optimization. PPSN Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein
2014	A	`conf`	Efficient global optimization for combinatorial problems. GECCO Martin Zaefferer, Jörg Stork, Martina Friese, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein
2014	J	`jnl`	Evolutionary Algorithms. WIREs Data Mining Knowl. Discov. Thomas Bartz-Beielstein, Jürgen Branke, Jörn Mehnen, Olaf Mersmann
2014	—	`ch.`	Experimental Analysis of Optimization Algorithms: Tuning and Beyond. Theory and Principled Methods for the Design of Metaheuristics Thomas Bartz-Beielstein, Mike Preuss
2014	A	`ed.`	Parallel Problem Solving from Nature - PPSN XIII - 13th International Conference, Ljubljana, Slovenia, September 13-17, 2014. Proceedings PPSN Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic, Jim Smith
2014	A	`conf`	Tuning multi-objective optimization algorithms for cyclone dust separators. GECCO Martin Zaefferer, Beate Breiderhoff, Boris Naujoks, Martina Friese, Jörg Stork, Andreas Fischbach, Oliver Flasch, Thomas Bartz-Beielstein
2013	C	`conf`	A Case Study on Multi-Criteria Optimization of an Event Detection Software under Limited Budgets. EMO Martin Zaefferer, Thomas Bartz-Beielstein, Boris Naujoks, Tobias Wagner, Michael Emmerich
2013	B	`conf`	Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data. EvoApplications Oliver Flasch, Martina Friese, Katya Vladislavleva, Thomas Bartz-Beielstein, Olaf Mersmann, Boris Naujoks, Jörg Stork, Martin Zaefferer
2013	—	`conf`	How to create meaningful and generalizable results. GECCO (Companion) Thomas Bartz-Beielstein, Martin Zaefferer, Boris Naujoks
2012	J	`jnl`	Editorial for the Special Issue on Automated Design and Assessment of Heuristic Search Methods. Evol. Comput. Gabriela Ochoa, Mike Preuss, Thomas Bartz-Beielstein, Marc Schoenauer
2012	—	`conf`	Multi-criteria optimization for hard problems under limited budgets. GECCO (Companion) Martin Zaefferer, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Oliver Flasch
2012	—	`conf`	SPOT applied to non-stochastic optimization problems: an experimental study. GECCO (Companion) Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Martin Zaefferer
2012	—	`conf`	Sequential parameter optimization for symbolic regression. GECCO (Companion) Thomas Bartz-Beielstein, Oliver Flasch, Martin Zaefferer
2012	—	`conf`	Statistical analysis of optimization algorithms with R. GECCO (Companion) Thomas Bartz-Beielstein, Mike Preuß, Martin Zaefferer
2012	J	`jnl`	Tuning and evolution of support vector kernels. Evol. Intell. Patrick Koch, Bernd Bischl, Oliver Flasch, Thomas Bartz-Beielstein, Claus Weihs, Wolfgang Konen
2011	—	`conf`	Automatic and interactive tuning of algorithms. GECCO (Companion) Thomas Bartz-Beielstein, Mike Preuss
2011	—	`conf`	Noisy optimization with sequential parameter optimization and optimal computational budget allocation. GECCO (Companion) Thomas Bartz-Beielstein, Martina Friese, Martin Zaefferer, Boris Naujoks, Oliver Flasch, Wolfgang Konen, Patrick Koch
2011	A	`conf`	Tuned data mining: a benchmark study on different tuners. GECCO Wolfgang Konen, Patrick Koch, Oliver Flasch, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks
2010	B	`conf`	Comparing SPO-tuned GP and NARX prediction models for stormwater tank fill level prediction. IEEE Congress on Evolutionary Computation Oliver Flasch, Thomas Bartz-Beielstein, Artur Davtyan, Patrick Koch, Wolfgang Konen, Tosin Daniel Oyetoyan, Michael Tamutan
2010	—	`book`	Experimental Methods for the Analysis of Optimization Algorithms. Thomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete, Mike Preuss
2010	—	`ch.`	Introduction. Experimental Methods for the Analysis of Optimization Algorithms Thomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete, Mike Preuss
2010	B	`conf`	Optimization of biogas production with computational intelligence a comparative study. IEEE Congress on Evolutionary Computation Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oliver Flasch, Wolfgang Konen, Martin Zaefferer
2010	—	`conf`	RGP: an open source genetic programming system for the R environment. GECCO (Companion) Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein
2010	J	`jnl`	SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization CoRR Thomas Bartz-Beielstein
2010	—	`ch.`	Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches. Experimental Methods for the Analysis of Optimization Algorithms Frank Hutter, Thomas Bartz-Beielstein, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy
2010	—	`ch.`	The Future of Experimental Research. Experimental Methods for the Analysis of Optimization Algorithms Thomas Bartz-Beielstein, Mike Preuss
2010	—	`ch.`	The Sequential Parameter Optimization Toolbox. Experimental Methods for the Analysis of Optimization Algorithms Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss
2010	—	`conf`	Tuning and experimental analysis in evolutionary computation: what we still have wrong. GECCO (Companion) Thomas Bartz-Beielstein, Mike Preuss
2009	J	`jnl`	Optimierte Modellierung von Füllständen in Regenüberlaufbecken mittels CI-basierter Parameterselektion (Optimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes). Autom. Wolfgang Konen, Tobias Zimmer, Thomas Bartz-Beielstein
2009	—	`conf`	Reinforcement learning for games: failures and successes. GECCO (Companion) Wolfgang Konen, Thomas Bartz-Beielstein
2009	—	`conf`	Sequential Parameter Optimization. Sampling-based Optimization in the Presence of Uncertainty Thomas Bartz-Beielstein
2009	—	`conf`	the future of experimental research. GECCO (Companion) Thomas Bartz-Beielstein, Mike Preuss
2008	—	`conf`	Experimental research in evolutionary computation. GECCO (Companion) Thomas Bartz-Beielstein, Mike Preuss
2008	J	`jnl`	How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing. Synth. Thomas Bartz-Beielstein
2008	A	`conf`	Reinforcement Learning: Insights from Interesting Failures in Parameter Selection. PPSN Wolfgang Konen, Thomas Bartz-Beielstein
2007	—	`conf`	Experimental research in evolutionary computation. GECCO (Companion) Thomas Bartz-Beielstein, Mike Preuss
2007	—	`ed.`	Hybrid Metaheuristics, 4th International Workshop, HM 2007, Dortmund, Germany, October 8-9, 2007, Proceedings Hybrid Metaheuristics Thomas Bartz-Beielstein, María J. Blesa Aguilera, Christian Blum, Boris Naujoks, Andrea Roli, Günter Rudolph, Michael Sampels
2007	—	`ch.`	Particle Swarm Optimization and Sequential Sampling in Noisy Environments. Metaheuristics Thomas Bartz-Beielstein, Daniel Blum, Jürgen Branke
2007	—	`ch.`	Sequential Parameter Optimization Applied to Self-Adaptation for Binary-Coded Evolutionary Algorithms. Parameter Setting in Evolutionary Algorithms Mike Preuss, Thomas Bartz-Beielstein
2006	—	`book`	Experimental Research in Evolutionary Computation - The New Experimentalism. Thomas Bartz-Beielstein
2006	A	`conf`	High-order punishment and the evolution of cooperation. GECCO Bastian Baranski, Thomas Bartz-Beielstein, Rüdiger Ehlers, Thusinthan Kajendran, Björn Kosslers, Jörn Mehnen, Tomasz Polaszek, Ralf Reimholz, Jens M. Schmidt, Karlheinz Schmitt, Danny Seis, Rafael Slodzinski, Simon Steeg, Nils Wiemann, Marc Zimmermann
2006	—	`conf`	Investigation of One-Go Evolution Strategy/Quasi-Newton Hybridizations. Hybrid Metaheuristics Thomas Bartz-Beielstein, Mike Preuss, Günter Rudolph
2006	B	`conf`	Optimizing Door Assignment in LTL-Terminals by Evolutionary Multiobjective Algorithms. IEEE Congress on Evolutionary Computation Thomas Bartz-Beielstein, Annette Chmielewski, Michael Janas, Boris Naujoks, Robert Scheffermann
2006	B	`conf`	The Impact of Group Reputation in Multiagent Environments. IEEE Congress on Evolutionary Computation Bastian Baranski, Thomas Bartz-Beielstein, Rüdiger Ehlers, Thusinthan Kajendran, Björn Kosslers, Jörn Mehnen, Tomasz Polaszek, Ralf Reimholz, Jens M. Schmidt, Karlheinz Schmitt, Danny Seis, Rafael Slodzinski, Simon Steeg, Nils Wiemann, Marc Zimmermann
2005	—	`conf`	Evolution Strategies and Threshold Selection. Hybrid Metaheuristics Thomas Bartz-Beielstein
2005	—	`—`	New experimentalism applied to evolutionary computation. Thomas Bartz-Beielstein
2005	B	`conf`	Sequential parameter optimization. Congress on Evolutionary Computation Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss
2004	B	`conf`	Tuning search algorithms for real-world applications: a regression tree based approach. IEEE Congress on Evolutionary Computation Thomas Bartz-Beielstein, Sandor Markon
2003	B	`conf`	Particle swarm optimizers for Pareto optimization with enhanced archiving techniques. IEEE Congress on Evolutionary Computation Thomas Bartz-Beielstein, Philipp Limbourg, Jörn Mehnen, Karlheinz Schmitt, Konstantinos E. Parsopoulos, Michael N. Vrahatis