Jörg Stork | DeepAI

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Featured Co-authors

Christian Wolf
36 publications
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A. E. Eiben
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Martin Zaefferer
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Alexander Hagg
9 publications
Adam Gaier
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Andreas Fischbach
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Natalia Moriz
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∙ 07/29/2021

Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs

We have built a novel system for the surveillance of drinking water rese...

14 Jörg Stork, et al. ∙

∙ 05/17/2021

Behavior-based Neuroevolutionary Training in Reinforcement Learning

In addition to their undisputed success in solving classical optimizatio...

0 Jörg Stork, et al. ∙

∙ 02/26/2020

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

This paper introduces CAAI, a novel cognitive architecture for artificia...

0 Andreas Fischbach, et al. ∙

∙ 07/22/2019

Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning

In the last years, reinforcement learning received a lot of attention. O...

0 Jörg Stork, et al. ∙

∙ 07/16/2019

Prediction of neural network performance by phenotypic modeling

Surrogate models are used to reduce the burden of expensive-to-evaluate ...

0 Alexander Hagg, et al. ∙

∙ 02/09/2019

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

In NeuroEvolution, the topologies of artificial neural networks are opti...

0 Jörg Stork, et al. ∙

∙ 08/27/2018

A new Taxonomy of Continuous Global Optimization Algorithms

Surrogate-based optimization and nature-inspired metaheuristics have bec...

0 Jörg Stork, et al. ∙

∙ 07/20/2018

Distance-based Kernels for Surrogate Model-based Neuroevolution

The topology optimization of artificial neural networks can be particula...

0 Jörg Stork, et al. ∙

∙ 07/03/2018

Linear Combination of Distance Measures for Surrogate Models in Genetic Programming

Surrogate models are a well established approach to reduce the number of...

0 Martin Zaefferer, et al. ∙

∙ 10/13/2015

Comparison of different Methods for Univariate Time Series Imputation in R

Missing values in datasets are a well-known problem and there are quite ...

0 Steffen Moritz, et al. ∙

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