| The compact genetic algorithm is efficient under extreme gaussian noise T Friedrich, T Kötzing, MS Krejca, AM Sutton IEEE Transactions on Evolutionary Computation 21 (3), 477-490, 2016 | 56 | 2016 |
| Escaping local optima using crossover with emergent diversity DC Dang, T Friedrich, T Kötzing, MS Krejca, PK Lehre, PS Oliveto, ... IEEE Transactions on Evolutionary Computation 22 (3), 484-497, 2017 | 53 | 2017 |
| Lower bounds on the run time of the univariate marginal distribution algorithm on OneMax MS Krejca, C Witt Theoretical Computer Science 832, 143-165, 2020 | 33 | 2020 |
| Escaping local optima with diversity mechanisms and crossover DC Dang, T Friedrich, T Kötzing, MS Krejca, PK Lehre, PS Oliveto, ... Proceedings of the Genetic and Evolutionary Computation Conference 2016, 645-652, 2016 | 32 | 2016 |
| EDAs cannot be balanced and stable T Friedrich, T Kötzing, MS Krejca Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016 | 28 | 2016 |
| Robustness of ant colony optimization to noise T Friedrich, T Kötzing, MS Krejca, AM Sutton Evolutionary computation 24 (2), 237-254, 2016 | 28 | 2016 |
| The benefit of recombination in noisy evolutionary search T Friedrich, T Kötzing, MS Krejca, AM Sutton International Symposium on Algorithms and Computation, 140-150, 2015 | 24 | 2015 |
| Emergence of diversity and its benefits for crossover in genetic algorithms DC Dang, T Friedrich, T Kötzing, MS Krejca, PK Lehre, PS Oliveto, ... International Conference on Parallel Problem Solving from Nature, 890-900, 2016 | 23 | 2016 |
| Theory of estimation-of-distribution algorithms MS Krejca, C Witt Theory of Evolutionary Computation, 405-442, 2020 | 19 | 2020 |
| Significance-based estimation-of-distribution algorithms B Doerr, MS Krejca IEEE Transactions on Evolutionary Computation, 2019 | 19 | 2019 |
| Fast building block assembly by majority vote crossover T Friedrich, T Kötzing, MS Krejca, S Nallaperuma, F Neumann, ... Proceedings of the Genetic and Evolutionary Computation Conference 2016, 661-668, 2016 | 9 | 2016 |
| The benefit of sex in noisy evolutionary search T Friedrich, T Kötzing, M Krejca, AM Sutton arXiv preprint arXiv:1502.02793, 2015 | 8 | 2015 |
| The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis B Doerr, MS Krejca European Conference on Evolutionary Computation in Combinatorial …, 2020 | 6 | 2020 |
| Surfing on the seascape: Adaptation in a changing environment B Trubenová, MS Krejca, PK Lehre, T Kötzing Evolution 73 (7), 1356-1374, 2019 | 6 | 2019 |
| First-hitting times under additive drift T Kötzing, MS Krejca International Conference on Parallel Problem Solving from Nature, 92-104, 2018 | 6 | 2018 |
| Probabilistic routing for on-street parking search T Arndt, D Hafner, T Kellermeier, S Krogmann, A Razmjou, MS Krejca, ... 24th Annual European Symposium on Algorithms (ESA 2016), 2016 | 6 | 2016 |
| Graceful scaling on uniform versus steep-tailed noise T Friedrich, T Kötzing, MS Krejca, AM Sutton International Conference on Parallel Problem Solving from Nature, 761-770, 2016 | 5 | 2016 |
| Bivariate estimation-of-distribution algorithms can find an exponential number of optima B Doerr, MS Krejca Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 796-804, 2020 | 3 | 2020 |
| A Simplified Run Time Analysis of the Univariate Marginal Distribution Algorithm on LeadingOnes B Doerr, M Krejca arXiv preprint arXiv:2004.04978, 2020 | 3 | 2020 |
| First-hitting times under drift T Kötzing, MS Krejca Theoretical Computer Science 796, 51-69, 2019 | 3 | 2019 |
