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 | 143 | 2017 |
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 | 108 | 2016 |
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 | 76 | 2016 |
Theory of estimation-of-distribution algorithms MS Krejca, C Witt Theory of evolutionary computation: Recent developments in discrete …, 2020 | 58 | 2020 |
Significance-based estimation-of-distribution algorithms B Doerr, MS Krejca Proceedings of the Genetic and Evolutionary Computation Conference, 1483-1490, 2018 | 49 | 2018 |
Lower bounds on the run time of the univariate marginal distribution algorithm on OneMax MS Krejca, C Witt Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic …, 2017 | 47 | 2017 |
EDAs cannot be balanced and stable T Friedrich, T Kötzing, MS Krejca Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016 | 43 | 2016 |
Robustness of ant colony optimization to noise T Friedrich, T Kötzing, MS Krejca, AM Sutton Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 43 | 2015 |
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 | 34 | 2016 |
The benefit of recombination in noisy evolutionary search T Friedrich, T Kötzing, MS Krejca, AM Sutton Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 33 | 2016 |
First-hitting times under drift T Kötzing, MS Krejca Theoretical Computer Science 796, 51-69, 2019 | 32 | 2019 |
The univariate marginal distribution algorithm copes well with deception and epistasis B Doerr, MS Krejca Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 27 | 2020 |
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 | 26 | 2016 |
Surfing on the seascape: Adaptation in a changing environment B Trubenova, MS Krejca, PK Lehre, T Kötzing Evolution 73 (7), 1356-1374, 2019 | 24 | 2019 |
A spectral independence view on hard spheres via block dynamics T Friedrich, A Göbel, MS Krejca, M Pappik SIAM Journal on Discrete Mathematics 36 (3), 2282-2322, 2022 | 16 | 2022 |
A simplified run time analysis of the univariate marginal distribution algorithm on LeadingOnes B Doerr, MS Krejca Theoretical Computer Science 851, 121-128, 2021 | 14 | 2021 |
Theoretical analyses of univariate estimation-of-distribution algorithms MS Krejca Universität Potsdam, 2019 | 13 | 2019 |
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 | 11 | 2020 |
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 | 11 | 2016 |
Mixed integer programming versus evolutionary computation for optimizing a hard real-world staff assignment problem J Peters, D Stephan, I Amon, H Gawendowicz, J Lischeid, L Salabarria, ... Proceedings of the international conference on automated planning and …, 2019 | 10 | 2019 |