Jörg Stork
Jörg Stork
PhD Student, TH Köln
Verified email at th-koeln.de - Homepage
TitleCited byYear
Comparison of different methods for univariate time series imputation in R
S Moritz, A Sardá, T Bartz-Beielstein, M Zaefferer, J Stork
arXiv preprint arXiv:1510.03924, 2015
422015
Efficient global optimization for combinatorial problems
M Zaefferer, J Stork, M Friese, A Fischbach, B Naujoks, T Bartz-Beielstein
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
382014
Distance measures for permutations in combinatorial efficient global optimization
M Zaefferer, J Stork, T Bartz-Beielstein
International Conference on Parallel Problem Solving from Nature, 373-383, 2014
212014
rgp: R genetic programming framework
O Flasch, O Mersmann, T Bartz-Beielstein, J Stork, M Zaefferer
R package version 0.4-1, 2014
152014
SVM ensembles are better when different kernel types are combined
J Stork, R Ramos, P Koch, W Konen
Data Science, Learning by Latent Structures, and Knowledge Discovery, 191-201, 2015
82015
Tuning multi-objective optimization algorithms for cyclone dust separators
M Zaefferer, B Breiderhoff, B Naujoks, M Friese, J Stork, A Fischbach, ...
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
82014
Linear combination of distance measures for surrogate models in genetic programming
M Zaefferer, J Stork, O Flasch, T Bartz-Beielstein
International Conference on Parallel Problem Solving from Nature, 220-231, 2018
52018
Modeling and optimization of a robust gas sensor
MAR Coy, S Krey, T Bartz-Beielstein, O Flasch, A Fischbach, J Stork
Bioinspired Optimization Methods and their Applications, 267-278, 2016
42016
From real world data to test functions
A Fischbach, M Zaefferer, J Stork, M Friese, T Bartz-Beielstein
42016
Distance-based kernels for surrogate model-based neuroevolution
J Stork, M Zaefferer, T Bartz-Beielstein
arXiv preprint arXiv:1807.07839, 2018
32018
Surrogate-Assisted Learning of Neural Networks
J Stork, M Zaefferer, A Fischbach, F Rehbach, T Bartz-Beielstein
32017
Ensemble-based model selection for smart metering data
M Friese, O Flasch, K Vladislavleva, T Bartz-Beielstein, O Mersmann, ...
Proceedings of the 22nd Workshop Computational Intelligence, 215-227, 2014
32014
UniFIeD Univariate Frequency-based Imputation for Time Series Data
M Friese, J Stork, R Ramos Guerra, T Bartz-Beielstein, S Thaker, O Flasch, ...
32013
Simulation and optimization of cyclone dust separators
B Breiderhoff, T Bartz-Beielstein, B Naujoks, M Zaefferer, A Fischbach, ...
32013
Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels
J Stork, M Zaefferer, T Bartz-Beielstein
International Conference on the Applications of Evolutionary Computation …, 2019
22019
Comparison of parallel surrogate-assisted optimization approaches
F Rehbach, M Zaefferer, J Stork, T Bartz-Beielstein
Proceedings of the Genetic and Evolutionary Computation Conference, 1348-1355, 2018
22018
A new Taxonomy of Continuous Global Optimization Algorithms
J Stork, AE Eiben, T Bartz-Beielstein
arXiv preprint arXiv:1808.08818, 2018
12018
Can social learning increase learning speed, performance or both?
J Heinerman, J Stork, MAR Coy, J Hubert, T Bartz-Beielstein, AE Eiben, ...
Artificial Life Conference Proceedings 14, 200-207, 2017
12017
Analyzing Capabilities of Latin Hypercube Designs Compared to Classical Experimental Design Methods
A Fischbach, J Stork, M Zaefferer, S Krey, T Bartz-Beielstein
25. Workshop Computational Intelligence, 255-270, 2015
12015
Does imputation work for improvement of domestic hot water usage prediction
S Moritz, T Bartz-Beielstein, O Mersmann, M Zaefferer, J Stork
ProcEEDings 24. Workshop comPutational intElligEncE, 205, 2014
12014
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Articles 1–20