Thomas Bartz-Beielstein

Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization

Machine learning algorithms such as random forests or xgboost are gainin...
07/19/2021 ∙ by Eva Bartz, et al. ∙ 0 ∙ share

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Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots

Most evolutionary robotics studies focus on evolving some targeted behav...
07/12/2021 ∙ by Margarita Rebolledo, et al. ∙ 1 ∙ share

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Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT

A surrogate model based hyperparameter tuning approach for deep learning...
05/30/2021 ∙ by Thomas Bartz-Beielstein, et al. ∙ 0 ∙ share

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Behavior-based Neuroevolutionary Training in Reinforcement Learning

In addition to their undisputed success in solving classical optimizatio...
05/17/2021 ∙ by Jörg Stork, et al. ∙ 0 ∙ share

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

Crises like the COVID-19 pandemic pose a serious challenge to health-car...
05/16/2021 ∙ by Thomas Bartz-Beielstein, et al. ∙ 0 ∙ share

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Technical Report: Flushing Strategies in Drinking Water Systems

Drinking water supply and distribution systems are critical infrastructu...
12/25/2020 ∙ by Margarita Rebolledo, et al. ∙ 0 ∙ share

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

We present a resource-planning tool for hospitals under special consider...
12/14/2020 ∙ by Thomas Bartz-Beielstein, et al. ∙ 27 ∙ share

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Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems

This paper presents the cognitive module of the cognitive architecture f...
12/03/2020 ∙ by Jan Strohschein, et al. ∙ 0 ∙ share

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EventDetectR – An Open-Source Event Detection System

EventDetectR: An efficient Event Detection System (EDS) capable of detec...
11/16/2020 ∙ by Sowmya Chandrasekaran, et al. ∙ 0 ∙ share

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Optimization of High-dimensional Simulation Models Using Synthetic Data

Simulation models are valuable tools for resource usage estimation and c...
09/06/2020 ∙ by Thomas Bartz-Beielstein, et al. ∙ 0 ∙ share

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Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools

Testing new, innovative technologies is a crucial task for safety and ac...
09/03/2020 ∙ by Tom Peetz, et al. ∙ 0 ∙ share

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Benchmarking in Optimization: Best Practice and Open Issues

This survey compiles ideas and recommendations from more than a dozen re...
07/07/2020 ∙ by Thomas Bartz-Beielstein, et al. ∙ 11 ∙ share

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CAAI – A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems

This paper introduces CAAI, a novel cognitive architecture for artificia...
02/26/2020 ∙ by Andreas Fischbach, et al. ∙ 0 ∙ share

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Expected Improvement versus Predicted Value in Surrogate-Based Optimization

Surrogate-based optimization relies on so-called infill criteria (acquis...
01/09/2020 ∙ by Frederik Rehbach, et al. ∙ 12 ∙ share

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Why we need an AI-resilient society

Artificial intelligence is considered as a key technology. It has a huge...
12/18/2019 ∙ by Thomas Bartz-Beielstein, et al. ∙ 0 ∙ share

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Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning

In the last years, reinforcement learning received a lot of attention. O...
07/22/2019 ∙ by Jörg Stork, et al. ∙ 0 ∙ share

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Evaluation of Cognitive Architectures for Cyber-Physical Production Systems

Cyber-physical production systems (CPPS) integrate physical and computat...
02/22/2019 ∙ by Andreas Bunte, et al. ∙ 0 ∙ share

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Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels

In NeuroEvolution, the topologies of artificial neural networks are opti...
02/09/2019 ∙ by Jörg Stork, et al. ∙ 0 ∙ share

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A new Taxonomy of Continuous Global Optimization Algorithms

Surrogate-based optimization and nature-inspired metaheuristics have bec...
08/27/2018 ∙ by Jörg Stork, et al. ∙ 0 ∙ share

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Distance-based Kernels for Surrogate Model-based Neuroevolution

The topology optimization of artificial neural networks can be particula...
07/20/2018 ∙ by Jörg Stork, et al. ∙ 0 ∙ share

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An Empirical Approach For Probing the Definiteness of Kernels

Models like support vector machines or Gaussian process regression often...
07/10/2018 ∙ by Martin Zaefferer, et al. ∙ 0 ∙ share

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Linear Combination of Distance Measures for Surrogate Models in Genetic Programming

Surrogate models are a well established approach to reduce the number of...
07/03/2018 ∙ by Martin Zaefferer, et al. ∙ 0 ∙ share

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In a Nutshell: Sequential Parameter Optimization

The performance of optimization algorithms relies crucially on their par...
12/12/2017 ∙ by Thomas Bartz-Beielstein, et al. ∙ 0 ∙ share

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Comparison of different Methods for Univariate Time Series Imputation in R

Missing values in datasets are a well-known problem and there are quite ...
10/13/2015 ∙ by Steffen Moritz, et al. ∙ 0 ∙ share

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

The sequential parameter optimization (SPOT) package for R is a toolbox ...
06/23/2010 ∙ by Thomas Bartz-Beielstein, et al. ∙ 0 ∙ share

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Thomas Bartz-Beielstein

Featured Co-authors

Carola Doerr

Markus Wagner

Jason H. Moore

Jakob Bossek

Pascal Kerschke

Vanessa Volz

Martin Zaefferer

A. E. Eiben

Tome Eftimov

Jörg Stork

Patryk Orzechowski

Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization

Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots

Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT

Behavior-based Neuroevolutionary Training in Reinforcement Learning

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

Technical Report: Flushing Strategies in Drinking Water Systems

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

Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems

EventDetectR – An Open-Source Event Detection System

Optimization of High-dimensional Simulation Models Using Synthetic Data

Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools

Benchmarking in Optimization: Best Practice and Open Issues

CAAI – A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems

Expected Improvement versus Predicted Value in Surrogate-Based Optimization

Why we need an AI-resilient society

Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning

Evaluation of Cognitive Architectures for Cyber-Physical Production Systems

Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels

A new Taxonomy of Continuous Global Optimization Algorithms

Distance-based Kernels for Surrogate Model-based Neuroevolution

An Empirical Approach For Probing the Definiteness of Kernels

Linear Combination of Distance Measures for Surrogate Models in Genetic Programming

In a Nutshell: Sequential Parameter Optimization

Comparison of different Methods for Univariate Time Series Imputation in R

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