Jörg Stork

According to our database, Jörg Stork authored at least 25 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

A new taxonomy of global optimization algorithms.

Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein

Nat. Comput., 2022

Elevator group control as a constrained multiobjective optimization problem.

Aljosa Vodopija, Jörg Stork, Thomas Bartz-Beielstein, Bogdan Filipic

Appl. Soft Comput., 2022

2021

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

Jörg Stork, Philip Wenzel, Severin Landwein, María-Elena Algorri, Martin Zaefferer, Wolfgang Kusch, Martin Staubach, Thomas Bartz-Beielstein, Hartmut Köhn, Hermann Dejager, Christian Wolf

CoRR, 2021

Behavior-based neuroevolutionary training in reinforcement learning.

Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Open Issues in Surrogate-Assisted Optimization.

Jörg Stork, Martina Friese, Martin Zaefferer, Thomas Bartz-Beielstein, Andreas Fischbach, Beate Breiderhoff, Boris Naujoks, Tea Tusar

Proceedings of the High-Performance Simulation-Based Optimization, 2020

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

Andreas Fischbach, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein

CoRR, 2020

Understanding the Behavior of Reinforcement Learning Agents.

Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

2019

Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning.

Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis.

Daniel Horn, Jörg Stork, Nils-Jannik Schüßler, Martin Zaefferer

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Prediction of neural network performance by phenotypic modeling.

Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

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

Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein

Proceedings of the Applications of Evolutionary Computation, 2019

2018

Bridging Theory and Practice Through Modular Graphical User Interfaces.

Frederik Rehbach, Jörg Stork, Thomas Bartz-Beielstein

J. Multim. Process. Technol., 2018

A new Taxonomy of Continuous Global Optimization Algorithms.

Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein

CoRR, 2018

Distance-based Kernels for Surrogate Model-based Neuroevolution.

Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein

CoRR, 2018

Linear Combination of Distance Measures for Surrogate Models in Genetic Programming.

Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Comparison of parallel surrogate-assisted optimization approaches.

Frederik Rehbach, Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Is social learning more than parameter tuning?

Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A. E. Eiben, Thomas Bartz-Beielstein, Evert Haasdijk

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Can social learning increase learning speed, performance or both?

Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, Thomas Bartz-Beielstein, A. E. Eiben, Evert Haasdijk

Proceedings of the Fourteenth European Conference Artificial Life, 2017

2016

Tutorials at PPSN 2016.

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

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

2015

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

Steffen Moritz, Alexis Sardá, Thomas Bartz-Beielstein, Martin Zaefferer, Jörg Stork

CoRR, 2015

2014

Distance Measures for Permutations in Combinatorial Efficient Global Optimization.

Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Efficient global optimization for combinatorial problems.

Martin Zaefferer, Jörg Stork, Martina Friese, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Tuning multi-objective optimization algorithms for cyclone dust separators.

Martin Zaefferer, Beate Breiderhoff, Boris Naujoks, Martina Friese, Jörg Stork, Andreas Fischbach, Oliver Flasch, Thomas Bartz-Beielstein

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data.

Oliver Flasch, Martina Friese, Katya Vladislavleva, Thomas Bartz-Beielstein, Olaf Mersmann, Boris Naujoks, Jörg Stork, Martin Zaefferer

Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

SVM Ensembles Are Better When Different Kernel Types Are Combined.

Jörg Stork, Ricardo Ramos, Patrick Koch, Wolfgang Konen

Proceedings of the Data Science, 2013