Martin S. Krejca
Title
Cited by
Cited by
Year
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
562016
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
532017
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
332020
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
322016
EDAs cannot be balanced and stable
T Friedrich, T Kötzing, MS Krejca
Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016
282016
Robustness of ant colony optimization to noise
T Friedrich, T Kötzing, MS Krejca, AM Sutton
Evolutionary computation 24 (2), 237-254, 2016
282016
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
242015
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
232016
Theory of estimation-of-distribution algorithms
MS Krejca, C Witt
Theory of Evolutionary Computation, 405-442, 2020
192020
Significance-based estimation-of-distribution algorithms
B Doerr, MS Krejca
IEEE Transactions on Evolutionary Computation, 2019
192019
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
92016
The benefit of sex in noisy evolutionary search
T Friedrich, T Kötzing, M Krejca, AM Sutton
arXiv preprint arXiv:1502.02793, 2015
82015
The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis
B Doerr, MS Krejca
European Conference on Evolutionary Computation in Combinatorial …, 2020
62020
Surfing on the seascape: Adaptation in a changing environment
B Trubenová, MS Krejca, PK Lehre, T Kötzing
Evolution 73 (7), 1356-1374, 2019
62019
First-hitting times under additive drift
T Kötzing, MS Krejca
International Conference on Parallel Problem Solving from Nature, 92-104, 2018
62018
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
62016
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
52016
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
32020
A Simplified Run Time Analysis of the Univariate Marginal Distribution Algorithm on LeadingOnes
B Doerr, M Krejca
arXiv preprint arXiv:2004.04978, 2020
32020
First-hitting times under drift
T Kötzing, MS Krejca
Theoretical Computer Science 796, 51-69, 2019
32019
The system can't perform the operation now. Try again later.
Articles 1–20