Thomas Bartz-Beielstein

Orcid: 0000-0002-5938-5158

Affiliations:
  • TH Köln, Institute for Data Science, Engineering, and Analytics, Germany
  • Technical University of Dortmund, Germany (former)


According to our database1, Thomas Bartz-Beielstein authored at least 122 papers between 2001 and 2024.

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Bibliography

2024
Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution.
CoRR, 2024

A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity.
CoRR, 2024

Simplifying Hyperparameter Tuning in Online Machine Learning - The spotRiverGUI.
CoRR, 2024

2023
Hyperparameter Tuning Cookbook: A guide for scikit-learn, PyTorch, river, and spotPython.
CoRR, 2023

PyTorch Hyperparameter Tuning - A Tutorial for spotPython.
CoRR, 2023

A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

Global Study: Influence of Tuning.
Proceedings of the Hyperparameter Tuning for Machine and Deep Learning with R, 2023

Tuning: Methodology.
Proceedings of the Hyperparameter Tuning for Machine and Deep Learning with R, 2023

Hyperparameter Tuning Approaches.
Proceedings of the Hyperparameter Tuning for Machine and Deep Learning with R, 2023

Models.
Proceedings of the Hyperparameter Tuning for Machine and Deep Learning with R, 2023

Ranking and Result Aggregation.
Proceedings of the Hyperparameter Tuning for Machine and Deep Learning with R, 2023

Case Study I: Tuning Random Forest (Ranger).
Proceedings of the Hyperparameter Tuning for Machine and Deep Learning with R, 2023

Case Study III: Tuning of Deep Neural Networks.
Proceedings of the Hyperparameter Tuning for Machine and Deep Learning with R, 2023

Case Study II: Tuning of Gradient Boosting (xgboost).
Proceedings of the Hyperparameter Tuning for Machine and Deep Learning with R, 2023

Hyperparameter Tuning and Optimization Applications.
Proceedings of the Hyperparameter Tuning for Machine and Deep Learning with R, 2023

2022
Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm.
IEEE Trans. Evol. Comput., 2022

A new taxonomy of global optimization algorithms.
Nat. Comput., 2022

Co-optimizing for task performance and energy efficiency in evolvable robots.
Eng. Appl. Artif. Intell., 2022

Elevator group control as a constrained multiobjective optimization problem.
Appl. Soft Comput., 2022

2021
Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs.
CoRR, 2021

Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization.
CoRR, 2021

Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT.
CoRR, 2021

Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis.
CoRR, 2021

Behavior-based neuroevolutionary training in reinforcement learning.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Impact of energy efficiency on the morphology and behaviour of evolved robots.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments.
Proceedings of the Applications of Evolutionary Computation, 2021

Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Open Issues in Surrogate-Assisted Optimization.
Proceedings of the High-Performance Simulation-Based Optimization, 2020

Technical Report: Flushing Strategies in Drinking Water Systems.
CoRR, 2020

Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic.
CoRR, 2020

Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems.
CoRR, 2020

EventDetectR - An Open-Source Event Detection System.
CoRR, 2020

Sensor Placement for Contamination Detection in Water Distribution Systems.
CoRR, 2020

Optimization of High-dimensional Simulation Models Using Synthetic Data.
CoRR, 2020

Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools.
CoRR, 2020

Benchmarking in Optimization: Best Practice and Open Issues.
CoRR, 2020

CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems.
CoRR, 2020

Improving the reliability of test functions generators.
Appl. Soft Comput., 2020

Parallelized Bayesian Optimization for Expensive Robot Controller Evolution.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Expected improvement versus predicted value in surrogate-based optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Variable reduction for surrogate-based optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Parallelized bayesian optimization for problems with expensive evaluation functions.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

High-Lift Devices Topology Optimisation using Structured-Chromosome Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Preliminary spacecraft design by means of Structured-Chromosome Genetic Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Understanding the Behavior of Reinforcement Learning Agents.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

Hybrid Variable Selection and Support Vector Regression for Gas Sensor Optimization.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

2019
An empirical approach for probing the definiteness of kernels.
Soft Comput., 2019

Why we need an AI-resilient society.
CoRR, 2019

Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Feature selection for surrogate model-based optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Structured-chromosome GA optimisation for satellite tracking.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels.
Proceedings of the Applications of Evolutionary Computation, 2019

Evaluation of Cognitive Architectures for Cyber-Physical Production Systems.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

Autonomous Generation of Observation Schedules for Tracking Satellites with Structured-Chromosome GA Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Bridging Theory and Practice Through Modular Graphical User Interfaces.
J. Multim. Process. Technol., 2018

A new Taxonomy of Continuous Global Optimization Algorithms.
CoRR, 2018

Distance-based Kernels for Surrogate Model-based Neuroevolution.
CoRR, 2018

Linear Combination of Distance Measures for Surrogate Models in Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Comparison of parallel surrogate-assisted optimization approaches.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Surrogate assisted optimization of particle reinforced metal matrix composites.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
imputeTS: Time Series Missing Value Imputation in R.
R J., 2017

Conditional inference trees for knowledge extraction from motor health condition data.
Eng. Appl. Artif. Intell., 2017

In a Nutshell: Sequential Parameter Optimization.
CoRR, 2017

Model-based methods for continuous and discrete global optimization.
Appl. Soft Comput., 2017

Simulation-based test functions for optimization algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Is social learning more than parameter tuning?
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Can social learning increase learning speed, performance or both?
Proceedings of the Fourteenth European Conference Artificial Life, 2017

2016
Multi-fidelity modeling and optimization of biogas plants.
Appl. Soft Comput., 2016

Efficient Global Optimization with Indefinite Kernels.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016


2015
How to Create Generalizable Results.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Comparison of different Methods for Univariate Time Series Imputation in R.
CoRR, 2015

2014
Experimental Analysis of Optimization Algorithms: Tuning and Beyond.
Proceedings of the Theory and Principled Methods for the Design of Metaheuristics, 2014

Evolutionary Algorithms.
WIREs Data Mining Knowl. Discov., 2014

Distance Measures for Permutations in Combinatorial Efficient Global Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Efficient global optimization for combinatorial problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Tuning multi-objective optimization algorithms for cyclone dust separators.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
How to create meaningful and generalizable results.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

A Case Study on Multi-Criteria Optimization of an Event Detection Software under Limited Budgets.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

2012
Tuning and evolution of support vector kernels.
Evol. Intell., 2012

Editorial for the Special Issue on Automated Design and Assessment of Heuristic Search Methods.
Evol. Comput., 2012

Multi-criteria optimization for hard problems under limited budgets.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Statistical analysis of optimization algorithms with R.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Sequential parameter optimization for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

SPOT applied to non-stochastic optimization problems: an experimental study.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Tuned data mining: a benchmark study on different tuners.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Automatic and interactive tuning of algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Noisy optimization with sequential parameter optimization and optimal computational budget allocation.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
CoRR, 2010

RGP: an open source genetic programming system for the R environment.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Tuning and experimental analysis in evolutionary computation: what we still have wrong.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Optimization of biogas production with computational intelligence a comparative study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Comparing SPO-tuned GP and NARX prediction models for stormwater tank fill level prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches.
Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

The Future of Experimental Research.
Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

The Sequential Parameter Optimization Toolbox.
Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

Introduction.
Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

2009
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., 2009

Reinforcement learning for games: failures and successes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

the future of experimental research.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Sequential Parameter Optimization.
Proceedings of the Sampling-based Optimization in the Presence of Uncertainty, 26.04., 2009

2008
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing.
Synth., 2008

Reinforcement Learning: Insights from Interesting Failures in Parameter Selection.
Proceedings of the Parallel Problem Solving from Nature, 2008

2007
Sequential Parameter Optimization Applied to Self-Adaptation for Binary-Coded Evolutionary Algorithms.
Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

Experimental research in evolutionary computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Particle Swarm Optimization and Sequential Sampling in Noisy Environments.
Proceedings of the Metaheuristics, 2007

2006
Investigation of One-Go Evolution Strategy/Quasi-Newton Hybridizations.
Proceedings of the Hybrid Metaheuristics, Third International Workshop, 2006

High-order punishment and the evolution of cooperation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Optimizing Door Assignment in LTL-Terminals by Evolutionary Multiobjective Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

The Impact of Group Reputation in Multiagent Environments.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Experimental Research in Evolutionary Computation - The New Experimentalism.
Natural Computing Series, Springer, ISBN: 978-3-540-32026-5, 2006

2005
New experimentalism applied to evolutionary computation.
PhD thesis, 2005

Evolution Strategies and Threshold Selection.
Proceedings of the Hybrid Metaheuristics, Second International Workshop, 2005

Sequential parameter optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Tuning search algorithms for real-world applications: a regression tree based approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Optimal Elevator Group Control by Evolution Strategies.
Proceedings of the Genetic and Evolutionary Computation, 2003

Particle swarm optimizers for Pareto optimization with enhanced archiving techniques.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Threshold selection, hypothesis tests, and DOE methods.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

Circuit design using evolutionary algorithms.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Thresholding-a selection operator for noisy ES.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001


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