The (1+λ) evolutionary algorithm with self-adjusting mutation rate B Doerr, C Gießen, C Witt, J Yang Proceedings of the Genetic and Evolutionary Computation Conference, 1351-1358, 2017 | 79 | 2017 |
Robustness of populations in stochastic environments C Gießen, T Kötzing Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014 | 79 | 2014 |
The Interplay of Population Size and Mutation Probability in the () EA on OneMax C Gießen, C Witt Algorithmica 78 (2), 587-609, 2017 | 40 | 2017 |
Population size vs. mutation strength for the (1+ λ) EA on OneMax C Gießen, C Witt Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 21 | 2015 |
Optimal Mutation Rates for the (1+) EA on OneMax Through Asymptotically Tight Drift Analysis C Gießen, C Witt Algorithmica 80 (5), 1710-1731, 2018 | 19 | 2018 |
Optimal mutation rates for the (1+ λ) EA on OneMax C Gießen, C Witt Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016 | 11 | 2016 |
Hybridizing evolutionary algorithms with opportunistic local search C Gießen Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 8 | 2013 |
The impact of parametrization on randomized search heuristics C Gießen DTU Compute, 2018 | 1 | 2018 |
Vergleich von SLS und VDS zur Hybridisierung evolutionärer Algorithmen C Gießen | | 2012 |