Jörg Stork
Jörg Stork
PhD Student, TH Köln
Bestätigte E-Mail-Adresse bei th-koeln.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
972015
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
452014
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
222014
rgp: R genetic programming framework
O Flasch, O Mersmann, T Bartz-Beielstein, J Stork, M Zaefferer
R package version 0.4-1, 2014
182014
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
112015
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
102018
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
92014
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
82018
Open issues in surrogate-assisted optimization
J Stork, M Friese, M Zaefferer, T Bartz-Beielstein, A Fischbach, ...
High-Performance Simulation-Based Optimization, 225-244, 2020
72020
A new taxonomy of continuous global optimization algorithms
J Stork, AE Eiben, T Bartz-Beielstein
arXiv preprint arXiv:1808.08818, 2018
72018
From real world data to test functions
A Fischbach, M Zaefferer, J Stork, M Friese, T Bartz-Beielstein
72016
Distance-based kernels for surrogate model-based neuroevolution
J Stork, M Zaefferer, T Bartz-Beielstein
arXiv preprint arXiv:1807.07839, 2018
52018
Gecco 2017 industrial challenge: Monitoring of drinking water quality
S Chandrasekaran, M Freise, J Stork, M Rebolledo, T Bartz-Beielstein
52017
UniFIeD Univariate Frequency-based Imputation for Time Series Data
M Friese, J Stork, R Ramos Guerra, T Bartz-Beielstein, S Thaker, O Flasch, ...
52013
Simulation and optimization of cyclone dust separators
B Breiderhoff, T Bartz-Beielstein, B Naujoks, M Zaefferer, A Fischbach, ...
52013
Comparison of different methods for univariate time series imputation in R. arXiv 2015
S Moritz, A Sardá, T Bartz-Beielstein, M Zaefferer, J Stork
arXiv preprint arXiv:1510.03924, 0
5
A new taxonomy of global optimization algorithms
J Stork, AE Eiben, T Bartz-Beielstein
Natural Computing, 1-24, 2020
42020
Prediction of neural network performance by phenotypic modeling
A Hagg, M Zaefferer, J Stork, A Gaier
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
42019
Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning
J Stork, M Zaefferer, T Bartz-Beielstein, AE Eiben
Proceedings of the Genetic and Evolutionary Computation Conference, 934-942, 2019
42019
Surrogate-Assisted Learning of Neural Networks
J Stork, M Zaefferer, A Fischbach, F Rehbach, T Bartz-Beielstein
42017
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