SVM Ensembles Are Better When Different Kernel Types Are Combined. - Jörg Stork; Ricardo Ramos; Patrick Koch; Wolfgang Konen (ECDA, 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 (EvoApplications, 2013)

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 (GECCO, 2014)

Efficient global optimization for combinatorial problems. - Martin Zaefferer; Jörg Stork; Martina Friese; Andreas Fischbach; Boris Naujoks; Thomas Bartz-Beielstein (GECCO, 2014)

Distance Measures for Permutations in Combinatorial Efficient Global Optimization. - Martin Zaefferer; Jörg Stork; Thomas Bartz-Beielstein (PPSN, 2014)

Comparison of different Methods for Univariate Time Series Imputation in R. - Steffen Moritz; Alexis Sardá; Thomas Bartz-Beielstein; Martin Zaefferer; Jörg Stork (CoRR, 2015)

Tutorials at PPSN 2016. - Carola Doerr; Nicolas Bredèche; Enrique Alba 001; Thomas Bartz-Beielstein; Dimo Brockhoff; Benjamin Doerr; Gusz Eiben; Michael G. Epitropakis; Carlos M. Fonseca; Andreia P. Guerreiro; Evert Haasdijk; Jacqueline Heinerman; et al. (PPSN, 2016)

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 (ECAL, 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 (GECCO (Companion), 2017)

Comparison of parallel surrogate-assisted optimization approaches. - Frederik Rehbach; Martin Zaefferer; Jörg Stork; Thomas Bartz-Beielstein (GECCO, 2018)

Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. - Martin Zaefferer; Jörg Stork; Oliver Flasch; Thomas Bartz-Beielstein (PPSN (2), 2018)

Distance-based Kernels for Surrogate Model-based Neuroevolution. - Jörg Stork; Martin Zaefferer; Thomas Bartz-Beielstein (CoRR, 2018)

A new Taxonomy of Continuous Global Optimization Algorithms. - Jörg Stork; A. E. Eiben; Thomas Bartz-Beielstein (CoRR, 2018)

Bridging Theory and Practice Through Modular Graphical User Interfaces. - Frederik Rehbach; Jörg Stork; Thomas Bartz-Beielstein (J. Multim. Process. Technol., 2018)

Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels. - Jörg Stork; Martin Zaefferer; Thomas Bartz-Beielstein (EvoApplications, 2019)

Prediction of neural network performance by phenotypic modeling. - Alexander Hagg; Martin Zaefferer; Jörg Stork; Adam Gaier (GECCO (Companion), 2019)

Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis. - Daniel Horn; Jörg Stork; Nils-Jannik Schüßler; Martin Zaefferer (GECCO, 2019)

Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning. - Jörg Stork; Martin Zaefferer; Thomas Bartz-Beielstein; A. E. Eiben (GECCO, 2019)

Understanding the Behavior of Reinforcement Learning Agents. - Jörg Stork; Martin Zaefferer; Thomas Bartz-Beielstein; A. E. Eiben (BIOMA, 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)

Open Issues in Surrogate-Assisted Optimization. - Jörg Stork; Martina Friese; Martin Zaefferer; Thomas Bartz-Beielstein; Andreas Fischbach; Beate Breiderhoff; Boris Naujoks; Tea Tusar (High-Performance Simulation-Based Optimization, 2020)

Behavior-based neuroevolutionary training in reinforcement learning. - Jörg Stork; Martin Zaefferer; Nils Eisler; Patrick Tichelmann; Thomas Bartz-Beielstein; A. E. Eiben (GECCO Companion, 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 003 (CoRR, 2021)

Elevator group control as a constrained multiobjective optimization problem. - Aljosa Vodopija; Jörg Stork; Thomas Bartz-Beielstein; Bogdan Filipic (Appl. Soft Comput., 2022)

A new taxonomy of global optimization algorithms. - Jörg Stork; A. E. Eiben; Thomas Bartz-Beielstein (Nat. Comput., 2022)