| Exploratory landscape analysis O Mersmann, B Bischl, H Trautmann, M Preuss, C Weihs, G Rudolph Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 144 | 2011 |
| On the properties of the R2 indicator D Brockhoff, T Wagner, H Trautmann Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 113 | 2012 |
| Algorithm selection based on exploratory landscape analysis and cost-sensitive learning B Bischl, O Mersmann, H Trautmann, M Preuß Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 100 | 2012 |
| Integration of preferences in hypervolume-based multiobjective evolutionary algorithms by means of desirability functions T Wagner, H Trautmann IEEE Transactions on Evolutionary Computation 14 (5), 688-701, 2010 | 94 | 2010 |
| Resampling methods for meta-model validation with recommendations for evolutionary computation B Bischl, O Mersmann, H Trautmann, C Weihs Evolutionary Computation 20 (2), 249-275, 2012 | 78 | 2012 |
| 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 | 62 | 2013 |
| Benchmarking evolutionary algorithms: Towards exploratory landscape analysis O Mersmann, M Preuss, H Trautmann International Conference on Parallel Problem Solving from Nature, 73-82, 2010 | 61 | 2010 |
| On the distribution of the desirability index using Harrington’s desirability function H Trautmann, C Weihs Metrika 63 (2), 207-213, 2006 | 61 | 2006 |
| A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem O Mersmann, B Bischl, H Trautmann, M Wagner, J Bossek, F Neumann Annals of Mathematics and Artificial Intelligence 69 (2), 151-182, 2013 | 56 | 2013 |
| A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem O Mersmann, B Bischl, H Trautmann, M Wagner, J Bossek, F Neumann Annals of Mathematics and Artificial Intelligence 69 (2), 151-182, 2013 | 56 | 2013 |
| 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 | 51 | 2009 |
| Preference-based Pareto optimization in certain and noisy environments H Trautmann, J Mehnen Engineering Optimization 41 (1), 23-38, 2009 | 47 | 2009 |
| truncnorm: Truncated normal distribution H Trautmann, D Steuer, O Mersmann, B Bornkamp R package version, 2012 | 46 | 2012 |
| 2 indicator-based multiobjective search D Brockhoff, T Wagner, H Trautmann Evolutionary Computation 23 (3), 369-395, 2015 | 43 | 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 | 43 | 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 | 42 | 2011 |
| Preference articulation by means of the R2 indicator T Wagner, H Trautmann, D Brockhoff International Conference on Evolutionary Multi-Criterion Optimization, 81-95, 2013 | 34 | 2013 |
| Detecting funnel structures by means of exploratory landscape analysis P Kerschke, M Preuss, S Wessing, H Trautmann Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 33 | 2015 |
| Improving the state of the art in inexact TSP solving using per-instance algorithm selection L Kotthoff, P Kerschke, H Hoos, H Trautmann International Conference on Learning and Intelligent Optimization, 202-217, 2015 | 33 | 2015 |
| Social bots: Human-like by means of human control? C Grimme, M Preuss, L Adam, H Trautmann Big data 5 (4), 279-293, 2017 | 31 | 2017 |
Olaf Mersmannformerly TU DortmundVerified email at p-value.net
