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Tobias Wagner 0001
Person information
- affiliation: TU Dortmund, Dortmund, Germany
Other persons with the same name
- Tobias Wagner — disambiguation page
- Tobias Wagner 0002
— Ulm University, Germany
- Tobias Wagner 0003 — Universität der Bundeswehr München, Munich, Germany
- Tobias Wagner 0004 — Fulda University of Applied Sciences, Germany
- Tobias Wagner 0005 — DATEV eG, Nürnberg, Germany
- Tobias Wagner 0006 — University of Bonn, Bonn, Germany
- Tobias Wagner 0007 — University of Basel, Switzerland
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2010 – 2019
- 2016
- [c32]Dimo Brockhoff, Tobias Wagner:
GECCO 2016 Tutorial on Evolutionary Multiobjective Optimization. GECCO (Companion) 2016: 201-227 - [c31]Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message. GECCO (Companion) 2016: 1167 - [c30]Anne Auger, Dimo Brockhoff, Nikolaus Hansen
Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed. GECCO (Companion) 2016: 1217-1223 - [c29]Anne Auger, Dimo Brockhoff, Nikolaus Hansen
The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1225-1232 - [c28]Anne Auger, Dimo Brockhoff, Nikolaus Hansen
Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1233-1239 - [c27]Anne Auger, Dimo Brockhoff, Nikolaus Hansen
Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1241-1247 - [c26]Anne Auger, Dimo Brockhoff, Nikolaus Hansen
The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1257-1264 - [c25]Daniel Horn, Karin Schork
Multi-objective Selection of Algorithm Portfolios: Experimental Validation. PPSN 2016: 421-430 - [i1]Dimo Brockhoff, Tea Tusar
Biobjective Performance Assessment with the COCO Platform. CoRR abs/1605.01746 (2016) - 2015
- [j11]Patrick Koch, Tobias Wagner, Michael T. M. Emmerich
Efficient multi-criteria optimization on noisy machine learning problems. Appl. Soft Comput. 29: 357-370 (2015) - [j10]Dimo Brockhoff, Tobias Wagner, Heike Trautmann:
2 Indicator-Based Multiobjective Search. Evol. Comput. 23(3): 369-395 (2015) - [j9]Dirk Biermann
Planning and optimisation of manufacturing process chains for functionally graded components - part 2: case study on self-reinforced thermoplastic composites. Prod. Eng. 9(3): 405-416 (2015) - [c24]Daniel Horn, Tobias Wagner, Dirk Biermann
Model-Based Multi-objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark. EMO (1) 2015: 64-78 - [c23]Dimo Brockhoff, Tobias Wagner:
Tutorial on Evolutionary Multiobjective Optimization. GECCO (Companion) 2015: 37-63 - [c22]Md. Shahriar Mahbub
Improving Robustness of Stopping Multi-objective Evolutionary Algorithms by Simultaneously Monitoring Objective and Decision Space. GECCO 2015: 711-718 - [c21]Dimo Brockhoff, Bernd Bischl, Tobias Wagner:
The Impact of Initial Designs on the Performance of MATSuMoTo on the Noiseless BBOB-2015 Testbed: A Preliminary Study. GECCO (Companion) 2015: 1159-1166 - [c20]Jakob Bossek
Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement. GECCO 2015: 1319-1326 - [p1]Dirk Biermann
Modeling and Optimization of Machining Problems. Handbook of Computational Intelligence 2015: 1173-1184 - 2014
- [j8]Laura Klein, Tobias Wagner, Christoph Buchheim
A procedure for the evaluation and compensation of form errors by means of global isometric registration with subsequent local reoptimization. Prod. Eng. 8(1-2): 81-89 (2014) - 2013
- [j7]Dirk Biermann
Planning and optimisation of manufacturing process chains for functionally graded components - part 1: methodological foundations. Prod. Eng. 7(6): 657-664 (2013) - [c19]Tobias Wagner, Heike Trautmann, Dimo Brockhoff:
Preference Articulation by Means of the R2 Indicator. EMO 2013: 81-95 - [c18]Martin Zaefferer, Thomas Bartz-Beielstein
A Case Study on Multi-Criteria Optimization of an Event Detection Software under Limited Budgets. EMO 2013: 756-770 - [c17]Heike Trautmann, Tobias Wagner, Dimo Brockhoff:
R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection. LION 2013: 70-74 - [c16]Stefan Hess, Tobias Wagner, Bernd Bischl:
PROGRESS: Progressive Reinforcement-Learning-Based Surrogate Selection. LION 2013: 110-124 - 2012
- [j6]Tobias Wagner, Simon Wessing:
On the Effect of Response Transformations in Sequential Parameter Optimization. Evol. Comput. 20(2): 229-248 (2012) - [c15]Dimo Brockhoff, Tobias Wagner, Heike Trautmann:
On the properties of the R2 indicator. GECCO 2012: 465-472 - [c14]Mike Preuss, Tobias Wagner, David Ginsbourger
High-Dimensional Model-Based Optimization Based on Noisy Evaluations of Computer Games. LION 2012: 145-159 - 2011
- [c13]Tobias Wagner, Heike Trautmann, Luis Martí
A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms. EMO 2011: 16-30 - 2010
- [j5]Benedikt Sieben, Tobias Wagner, Dirk Biermann
Empirical modeling of hard turning of AISI 6150 steel using design and analysis of computer experiments. Prod. Eng. 4(2-3): 115-125 (2010) - [j4]Dirk Biermann
Direct free-form deformation of NC programs for surface reconstruction and form-error compensation. Prod. Eng. 4(5): 501-507 (2010) - [j3]Tobias Wagner, Heike Trautmann:
Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions. IEEE Trans. Evol. Comput. 14(5): 688-701 (2010) - [c12]Dirk Biermann
Sequential Parameter Optimization of an Evolution Strategy for the design of Mold Temperature Control Systems. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c11]Tobias Wagner, Heike Trautmann:
Online convergence detection for evolutionary multi-objective algorithms revisited. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c10]Tobias Wagner, Michael Emmerich, André H. Deutz, Wolfgang Ponweiser:
On Expected-Improvement Criteria for Model-based Multi-objective Optimization. PPSN (1) 2010: 718-727
2000 – 2009
- 2009
- [j2]Heike Trautmann, Tobias Wagner, Boris Naujoks
Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms. Evol. Comput. 17(4): 493-509 (2009) - [j1]Klaus Weinert, Andreas Zabel
On the Use of Problem-Specific Candidate Generators for the Hybrid Optimization of Multi-Objective Production Engineering Problems. Evol. Comput. 17(4): 527-544 (2009) - [c9]Nicola Beume, Boris Naujoks
Effects of 1-Greedy -Metric-Selection on Innumerably Large Pareto Fronts. EMO 2009: 21-35 - [c8]Tobias Wagner, Heike Trautmann, Boris Naujoks
OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing. EMO 2009: 198-215 - 2008
- [c7]Dirk Biermann
Model-based optimization revisited: Towards real-world processes. IEEE Congress on Evolutionary Computation 2008: 2975-2982 - [c6]Wolfgang Ponweiser, Tobias Wagner, Markus Vincze:
Clustered multiple generalized expected improvement: A novel infill sampling criterion for surrogate models. IEEE Congress on Evolutionary Computation 2008: 3515-3522 - [c5]Wolfgang Ponweiser, Tobias Wagner, Dirk Biermann
Multiobjective Optimization on a Limited Budget of Evaluations Using Model-Assisted -Metric Selection. PPSN 2008: 784-794 - 2007
- [c4]Thomas Michelitsch, Tobias Wagner, Dirk Biermann, Christian Hoffmann:
Designing memetic algorithms for real-world applications using self-imposed constraints. IEEE Congress on Evolutionary Computation 2007: 3050-3057 - [c3]Tobias Wagner, Nicola Beume, Boris Naujoks
Pareto-, Aggregation-, and Indicator-Based Methods in Many-Objective Optimization. EMO 2007: 742-756 - [c2]Jörn Mehnen
ICSPEA: evolutionary five-axis milling path optimisation. GECCO 2007: 2122-2128 - [c1]Tobias Wagner, Thomas Michelitsch, Alexei Sacharow:
On the design of optimisers for surface reconstruction. GECCO 2007: 2195-2202
Coauthor Index
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