Jörg Stork - RankMe

30 papers A 7B 2Journal 13Unranked 7

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