default search action
Jörg Stork
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2022
- [j3]Aljosa Vodopija, Jörg Stork, Thomas Bartz-Beielstein
, Bogdan Filipic
Elevator group control as a constrained multiobjective optimization problem. Appl. Soft Comput. 115: 108277 (2022) - [j2]Jörg Stork
A new taxonomy of global optimization algorithms. Nat. Comput. 21(2): 219-242 (2022) - 2021
- [c16]Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein
Behavior-based neuroevolutionary training in reinforcement learning. GECCO Companion 2021: 1753-1761 - [i10]Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein
Behavior-based Neuroevolutionary Training in Reinforcement Learning. CoRR abs/2105.07960 (2021) - [i9]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 abs/2107.13977 (2021) - 2020
- [c15]Jörg Stork
Understanding the Behavior of Reinforcement Learning Agents. BIOMA 2020: 148-160 - [p1]Jörg Stork
Open Issues in Surrogate-Assisted Optimization. High-Performance Simulation-Based Optimization 2020: 225-244 - [i8]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 abs/2003.00925 (2020)
2010 – 2019
- 2019
- [c14]Jörg Stork
Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels. EvoApplications 2019: 504-519 - [c13]Daniel Horn, Jörg Stork
Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis. GECCO 2019: 916-924 - [c12]Jörg Stork
Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning. GECCO 2019: 934-942 - [c11]Alexander Hagg
Prediction of neural network performance by phenotypic modeling. GECCO (Companion) 2019: 1576-1582 - [i7]Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein:
Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels. CoRR abs/1902.03419 (2019) - [i6]Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier:
Prediction of neural network performance by phenotypic modeling. CoRR abs/1907.07075 (2019) - [i5]Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben:
Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning. CoRR abs/1907.09300 (2019) - 2018
- [j1]Frederik Rehbach, Jörg Stork, Thomas Bartz-Beielstein:
Bridging Theory and Practice Through Modular Graphical User Interfaces. J. Multim. Process. Technol. 9(4): 134-140 (2018) - [c10]Frederik Rehbach, Martin Zaefferer, Jörg Stork
Comparison of parallel surrogate-assisted optimization approaches. GECCO 2018: 1348-1355 - [c9]Martin Zaefferer, Jörg Stork
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. PPSN (2) 2018: 220-231 - [i4]Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. CoRR abs/1807.01019 (2018) - [i3]Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein:
Distance-based Kernels for Surrogate Model-based Neuroevolution. CoRR abs/1807.07839 (2018) - [i2]Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein:
A new Taxonomy of Continuous Global Optimization Algorithms. CoRR abs/1808.08818 (2018) - 2017
- [c8]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: 200-207 - [c7]Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A. E. Eiben, Thomas Bartz-Beielstein
Is social learning more than parameter tuning? GECCO (Companion) 2017: 63-64 - 2016
- [c6]Carola Doerr
Tutorials at PPSN 2016. PPSN 2016: 1012-1022 - 2015
- [i1]Steffen Moritz
Comparison of different Methods for Univariate Time Series Imputation in R. CoRR abs/1510.03924 (2015) - 2014
- [c5]Martin Zaefferer, Jörg Stork
Efficient global optimization for combinatorial problems. GECCO 2014: 871-878 - [c4]Martin Zaefferer, Beate Breiderhoff, Boris Naujoks
Tuning multi-objective optimization algorithms for cyclone dust separators. GECCO 2014: 1223-1230 - [c3]Martin Zaefferer, Jörg Stork
Distance Measures for Permutations in Combinatorial Efficient Global Optimization. PPSN 2014: 373-383 - 2013
- [c2]Jörg Stork
SVM Ensembles Are Better When Different Kernel Types Are Combined. ECDA 2013: 191-201 - [c1]Oliver Flasch, Martina Friese
Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data. EvoApplications 2013: 172-181
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-24 23:05 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: