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Technical Report: Flushing Strategies in Drinking Water Systems
Drinking water supply and distribution systems are critical infrastructu...
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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...
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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...
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EventDetectR – An Open-Source Event Detection System
EventDetectR: An efficient Event Detection System (EDS) capable of detec...
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Optimization of High-dimensional Simulation Models Using Synthetic Data
Simulation models are valuable tools for resource usage estimation and c...
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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...
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Benchmarking in Optimization: Best Practice and Open Issues
This survey compiles ideas and recommendations from more than a dozen re...
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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...
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Expected Improvement versus Predicted Value in Surrogate-Based Optimization
Surrogate-based optimization relies on so-called infill criteria (acquis...
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Why we need an AI-resilient society
Artificial intelligence is considered as a key technology. It has a huge...
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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...
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Evaluation of Cognitive Architectures for Cyber-Physical Production Systems
Cyber-physical production systems (CPPS) integrate physical and computat...
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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...
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A new Taxonomy of Continuous Global Optimization Algorithms
Surrogate-based optimization and nature-inspired metaheuristics have bec...
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Distance-based Kernels for Surrogate Model-based Neuroevolution
The topology optimization of artificial neural networks can be particula...
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An Empirical Approach For Probing the Definiteness of Kernels
Models like support vector machines or Gaussian process regression often...
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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...
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In a Nutshell: Sequential Parameter Optimization
The performance of optimization algorithms relies crucially on their par...
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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 ...
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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 ...
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