Jörg Stork

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 23

Top Topics

Kullback Leibler

Global Optimization

Distance Measure

Reinforcement Learning

Top Venues

GECCO (Companion)

EvoApplications

Publications

Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein
A new taxonomy of global optimization algorithms. Nat. Comput. 21 (2) (2022)
Aljosa Vodopija, Jörg Stork, Thomas Bartz-Beielstein, Bogdan Filipic
Elevator group control as a constrained multiobjective optimization problem. Appl. Soft Comput. 115 (2022)
Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben
Behavior-based Neuroevolutionary Training in Reinforcement Learning. CoRR (2021)
Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben
Behavior-based neuroevolutionary training in reinforcement learning. GECCO Companion (2021)
Jörg Stork, Philip Wenzel, Severin Landwein, María-Elena Algorri, Martin Zaefferer, Wolfgang Kusch, Martin Staubach, Thomas Bartz-Beielstein, Hartmut Köhn, Hermann Dejager, Christian Wolf
Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs. CoRR (2021)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
Understanding the Behavior of Reinforcement Learning Agents. BIOMA (2020)
Andreas Fischbach, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein
CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. CoRR (2020)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels. CoRR (2019)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels. EvoApplications (2019)
Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier
Prediction of neural network performance by phenotypic modeling. CoRR (2019)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning. CoRR (2019)
Daniel Horn, Jörg Stork, Nils-Jannik Schüßler, Martin Zaefferer
Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis. GECCO (2019)
Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier
Prediction of neural network performance by phenotypic modeling. GECCO (Companion) (2019)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning. GECCO (2019)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
Distance-based Kernels for Surrogate Model-based Neuroevolution. CoRR (2018)
Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein
A new Taxonomy of Continuous Global Optimization Algorithms. CoRR (2018)
Frederik Rehbach, Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein
Comparison of parallel surrogate-assisted optimization approaches. GECCO (2018)
Frederik Rehbach, Jörg Stork, Thomas Bartz-Beielstein
Bridging Theory and Practice Through Modular Graphical User Interfaces. J. Multim. Process. Technol. 9 (4) (2018)
Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. PPSN (2) (2018)
Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. CoRR (2018)
Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, Thomas Bartz-Beielstein, A. E. Eiben, Evert Haasdijk
Can social learning increase learning speed, performance or both? ECAL (2017)
Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A. E. Eiben, Thomas Bartz-Beielstein, Evert Haasdijk
Is social learning more than parameter tuning? GECCO (Companion) (2017)
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
Tutorials at PPSN 2016. PPSN (2016)
Steffen Moritz, Alexis Sardá, Thomas Bartz-Beielstein, Martin Zaefferer, Jörg Stork
Comparison of different Methods for Univariate Time Series Imputation in R. CoRR (2015)
Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein
Distance Measures for Permutations in Combinatorial Efficient Global Optimization. PPSN (2014)
Martin Zaefferer, Beate Breiderhoff, Boris Naujoks, Martina Friese, Jörg Stork, Andreas Fischbach, Oliver Flasch, Thomas Bartz-Beielstein
Tuning multi-objective optimization algorithms for cyclone dust separators. GECCO (2014)
Martin Zaefferer, Jörg Stork, Martina Friese, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein
Efficient global optimization for combinatorial problems. GECCO (2014)
Oliver Flasch, Martina Friese, Katya Vladislavleva, Thomas Bartz-Beielstein, Olaf Mersmann, Boris Naujoks, Jörg Stork, Martin Zaefferer
Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data. EvoApplications (2013)
Jörg Stork, Ricardo Ramos, Patrick Koch, Wolfgang Konen
SVM Ensembles Are Better When Different Kernel Types Are Combined. ECDA (2013)