Tobias Wagner
Tobias Wagner
Institute of Machining Technology (ISF), TU Dortmund
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Pareto-, Aggregation-, and Indicator Based Methods in Many Objective Optimization
T Wagner, N Beume, B Naujoks
Proc. Int'l. Conf. Evolutionary multi-criterion optimization (EMO 2007), 2007
A benchmark of kriging-based infill criteria for noisy optimization
V Picheny, T Wagner, D Ginsbourger
Structural and multidisciplinary optimization 48 (3), 607-626, 2013
Multiobjective Optimization on a Limited Budget of Evaluations Using Model-Assisted -Metric Selection
W Ponweiser, T Wagner, D Biermann, M Vincze
International Conference on Parallel Problem Solving from Nature, 784-794, 2008
On the properties of the R2 indicator
D Brockhoff, T Wagner, H Trautmann
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
On expected-improvement criteria for model-based multi-objective optimization
T Wagner, M Emmerich, A Deutz, W Ponweiser
International Conference on Parallel Problem Solving from Nature, 718-727, 2010
Integration of preferences in hypervolume-based multiobjective evolutionary algorithms by means of desirability functions
T Wagner, H Trautmann
Evolutionary Computation, IEEE Transactions on 14 (5), 688-701, 2010
Clustered multiple generalized expected improvement: A novel infill sampling criterion for surrogate models
W Ponweiser, T Wagner, M Vincze
2008 IEEE congress on evolutionary computation (IEEE world congress on …, 2008
R2-EMOA: Focused multiobjective search using R2-indicator-based selection
H Trautmann, T Wagner, D Brockhoff
International Conference on Learning and Intelligent Optimization, 70-74, 2013
2 indicator-based multiobjective search
D Brockhoff, T Wagner, H Trautmann
Evolutionary Computation 23 (3), 369-395, 2015
Model-based multi-objective optimization: taxonomy, multi-point proposal, toolbox and benchmark
D Horn, T Wagner, D Biermann, C Weihs, B Bischl
International Conference on Evolutionary Multi-Criterion Optimization, 64-78, 2015
Histone deacetylase 2 controls p53 and is a critical factor in tumorigenesis
T Wagner, P Brand, T Heinzel, OH Krämer
Biochimica et Biophysica Acta (BBA)-Reviews on Cancer 1846 (2), 524-538, 2014
Dynamically regulated sumoylation of HDAC2 controls p53 deacetylation and restricts apoptosis following genotoxic stress
A Brandl, T Wagner, KM Uhlig, SK Knauer, RH Stauber, F Melchior, ...
Journal of molecular cell biology 4 (5), 284-293, 2012
Evolutionary optimization of dynamic multiobjective functions
J Mehnen, G Rudolph, T Wagner
2nd Italian Workshop on Evolutionary Computation (2a Giornata di Studio …, 2006
Statistical methods for convergence detection of multi-objective evolutionary algorithms
H Trautmann, T Wagner, B Naujoks, M Preuss, J Mehnen
Evolutionary computation 17 (4), 493-509, 2009
A taxonomy of online stopping criteria for multi-objective evolutionary algorithms
T Wagner, H Trautmann, L Martí
International Conference on Evolutionary Multi-Criterion Optimization, 16-30, 2011
OCD: Online convergence detection for evolutionary multi-objective algorithms based on statistical testing
T Wagner, H Trautmann, B Naujoks
International Conference on Evolutionary Multi-Criterion Optimization, 198-215, 2009
Sumoylation of HDAC2 promotes NF-κB-dependent gene expression
T Wagner, N Kiweler, K Wolff, SK Knauer, A Brandl, P Hemmerich, ...
Oncotarget 6 (9), 7123, 2015
Efficient multi-criteria optimization on noisy machine learning problems
P Koch, T Wagner, MTM Emmerich, T Bäck, W Konen
Applied Soft Computing 29, 357-370, 2015
Preference articulation by means of the R2 indicator
T Wagner, H Trautmann, D Brockhoff
International Conference on Evolutionary Multi-Criterion Optimization, 81-95, 2013
Empirical modeling of hard turning of AISI 6150 steel using design and analysis of computer experiments
B Sieben, T Wagner, D Biermann
Production Engineering 4 (2), 115-125, 2010
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