| Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates A Rodionova, K Antonov, A Buzdalova, C Doerr Proceedings of the Genetic and Evolutionary Computation Conference, 855-863, 2019 | 15 | 2019 |
| Evolutionary algorithms for parameter optimization—thirty years later THW Bäck, AV Kononova, B van Stein, H Wang, KA Antonov, ... Evolutionary Computation 31 (2), 81-122, 2023 | 14 | 2023 |
| High dimensional Bayesian optimization with kernel principal component analysis K Antonov, E Raponi, H Wang, C Doerr International Conference on Parallel Problem Solving from Nature, 118-131, 2022 | 6 | 2022 |
| Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms K Antonov, M Buzdalov, A Buzdalova, C Doerr 2021 IEEE Congress on Evolutionary Computation (CEC), 878-885, 2021 | 4 | 2021 |
| A Functional Analysis Approach to Symbolic Regression K Antonov, R Kalkreuth, K Yang, T Bäck, N van Stein, AV Kononova arXiv preprint arXiv:2402.06299, 2024 | | 2024 |
| Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations K Antonov, AV Kononova, T Bäck, N van Stein Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic …, 2023 | | 2023 |
| New solutions to Cooke triplet problem via analysis of attraction basins K Antonov, T Botari, T Tukker, T Bäck, N van Stein, AV Kononova Digital Optical Technologies 2023 12624, 131-143, 2023 | | 2023 |
| Mutation Rate Control in the Evolutionary Algorithm with a Self-adjusting Lower Bound K Antonov, A Buzdalova, C Doerr International Conference on Mathematical Optimization Theory and Operations …, 2020 | | 2020 |
