Folgen
Martin Zaefferer
Martin Zaefferer
TH Köln University of Applied Sciences
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
1942015
Model-based methods for continuous and discrete global optimization
T Bartz-Beielstein, M Zaefferer
Applied Soft Computing 55, 154-167, 2017
1462017
Efficient Global Optimization for Combinatorial Problems
M Zaefferer, J Stork, M Friese, A Fischbach, B Naujoks, T Bartz-Beielstein
GECCO 2014 (accepted preprint), 2014
752014
Expected improvement versus predicted value in surrogate-based optimization
F Rehbach, M Zaefferer, B Naujoks, T Bartz-Beielstein
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 868-876, 2020
382020
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
352020
A Case Study on Multi-Criteria Optimization of an Event Detection Software under Limited Budgets
M Zaefferer, T Bartz-Beielstein, B Naujoks, T Wagner, M Emmerich
342013
Distance measures for permutations in combinatorial efficient global optimization
M Zaefferer, J Stork, T Bartz-Beielstein
Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014
322014
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
262018
Multi-fidelity modeling and optimization of biogas plants
M Zaefferer, D Gaida, T Bartz-Beielstein
Applied Soft Computing 48, 13-28, 2016
232016
SURROGATE MODELS FOR DISCRETE OPTIMIZATION PROBLEMS
M ZAEFFERER
212018
A gentle introduction to sequential parameter optimization
T Bartz-Beielstein, M Zaefferer
212012
Metamodel-based optimization of hot rolling processes in the metal industry
C Jung, M Zaefferer, T Bartz-Beielstein, G Rudolph
The International Journal of Advanced Manufacturing Technology 90, 421-435, 2017
172017
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
17
Improving neuroevolution efficiency by surrogate model-based optimization with phenotypic distance kernels
J Stork, M Zaefferer, T Bartz-Beielstein
Applications of Evolutionary Computation: 22nd International Conference …, 2019
162019
Efficient Global Optimization with Indefinite Kernels
M Zaefferer, T Bartz-Beielstein
Parallel problem solving from nature - PPSN XIV, 2016
152016
Data Preprocessing: A New Algorithm for Univariate Imputation Designed Specifically for Industrial Needs
S Chandrasekaran, M Zaefferer, S Moritz, J Stork, M Friese, A Fischbach, ...
142016
Noisy optimization with sequential parameter optimization and optimal computational budget allocation
T Bartz-Beielstein, M Friese, M Zaefferer, B Naujoks, O Flasch, W Konen, ...
Proceedings of the 13th annual conference companion on Genetic and …, 2011
142011
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
122014
rgp: R genetic programming framework
O Flasch, O Mersmann, T Bartz-Beielstein, J Stork, M Zaefferer
R package version 0.4-1, 2014
122014
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
112019
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20