| 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 | 568 | 2007 |
| A benchmark of kriging-based infill criteria for noisy optimization V Picheny, T Wagner, D Ginsbourger Structural and multidisciplinary optimization 48, 607-626, 2013 | 414 | 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 | 334 | 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 | 238 | 2012 |
| On expected-improvement criteria for model-based multi-objective optimization T Wagner, M Emmerich, A Deutz, W Ponweiser Parallel Problem Solving from Nature, PPSN XI: 11th International Conference …, 2010 | 166 | 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 | 134 | 2010 |
| R2-EMOA: Focused multiobjective search using R2-indicator-based selection H Trautmann, T Wagner, D Brockhoff Learning and Intelligent Optimization: 7th International Conference, LION 7 …, 2013 | 117 | 2013 |
| 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 | 110 | 2008 |
| 2 indicator-based multiobjective search D Brockhoff, T Wagner, H Trautmann Evolutionary computation 23 (3), 369-395, 2015 | 96 | 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 | 85 | 2015 |
| Evolutionary optimization of dynamic multiobjective functions J Mehnen, G Rudolph, T Wagner 2nd Italian Workshop on Evolutionary Computation (2a Giornata di Studio …, 2006 | 76 | 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 | 60 | 2009 |
| A taxonomy of online stopping criteria for multi-objective evolutionary algorithms T Wagner, H Trautmann, L Martí Evolutionary Multi-Criterion Optimization: 6th International Conference, EMO …, 2011 | 57 | 2011 |
| 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 | 52 | 2015 |
| 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 | 51 | 2009 |
| Preference Articulation by Means of the R2 Indicator T Wagner, H Trautmann, D Brockhoff Evolutionary Multi-Criterion Optimization: 7th International Conference, EMO …, 2013 | 45 | 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, 115-125, 2010 | 43 | 2010 |
| 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 Evolutionary Multi-Criterion Optimization: 7th International Conference, EMO …, 2013 | 33 | 2013 |
| Online convergence detection for evolutionary multi-objective algorithms revisited T Wagner, H Trautmann IEEE Congress on Evolutionary Computation, 1-8, 2010 | 29 | 2010 |
| Biobjective performance assessment with the COCO platform D Brockhoff, T Tušar, D Tušar, T Wagner, N Hansen, A Auger arXiv preprint arXiv:1605.01746, 2016 | 26 | 2016 |
Dirk BiermannProfessor für Maschinenbau, TU Dortmund在 isf.de 的电子邮件经过验证
