1. Automated Dynamic Algorithm Configuration
2. A tight runtime analysis for the (1 + (λ, λ)) GA on leadingones
3. The (1 + (
λ,λ
)) GA is even faster on multimodal problems
4. Kirill Antonov , Maxim Buzdalov , Arina Buzdalova , and Carola Doerr . 2021 . Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms. In 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE, 878--885 . Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, and Carola Doerr. 2021. Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms. In 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE, 878--885.
5. Kirill Antonov Anna V. Kononova Thomas Bäck and Niki van Stein. 2023. distance-aware-ea: FOGA release. https://doi.org/10.5281/zenodo.7897290 10.5281/zenodo.7897290