| Performance comparison of optimization methods on variational quantum algorithms X Bonet-Monroig, H Wang, D Vermetten, B Senjean, C Moussa, T Bäck, ... Physical Review A 107 (3), 032407, 2023 | 98 | 2023 |
| IOHanalyzer: Detailed performance analyses for iterative optimization heuristics H Wang, D Vermetten, F Ye, C Doerr, T Bäck ACM Transactions on Evolutionary Learning and Optimization 2 (1), 1-29, 2022 | 65 | 2022 |
| Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules J de Nobel, D Vermetten, H Wang, C Doerr, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 46 | 2021 |
| Per-run algorithm selection with warm-starting using trajectory-based features A Kostovska, A Jankovic, D Vermetten, J de Nobel, H Wang, T Eftimov, ... International Conference on Parallel Problem Solving from Nature, 46-60, 2022 | 43 | 2022 |
| Iohexperimenter: Benchmarking platform for iterative optimization heuristics J de Nobel, F Ye, D Vermetten, H Wang, C Doerr, T Bäck Evolutionary Computation, 1-6, 2024 | 34 | 2024 |
| Online selection of CMA-ES variants D Vermetten, S van Rijn, T Bäck, C Doerr Proceedings of the Genetic and Evolutionary Computation Conference, 951-959, 2019 | 27 | 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 | 25 | 2023 |
| BBOB instance analysis: Landscape properties and algorithm performance across problem instances FX Long, D Vermetten, B van Stein, AV Kononova International Conference on the Applications of Evolutionary Computation …, 2023 | 20 | 2023 |
| Bias: A toolbox for benchmarking structural bias in the continuous domain D Vermetten, B van Stein, F Caraffini, LL Minku, AV Kononova IEEE Transactions on Evolutionary Computation 26 (6), 1380-1393, 2022 | 20 | 2022 |
| Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case D Vermetten, H Wang, T Bäck, C Doerr Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 654-662, 2020 | 19 | 2020 |
| Integrated vs. sequential approaches for selecting and tuning CMA-ES variants D Vermetten, H Wang, C Doerr, T Back ACM Genetic and Evolutionary Computation Conference (GECCO'20), 2020 | 17* | 2020 |
| The importance of being constrained: Dealing with infeasible solutions in differential evolution and beyond AV Kononova, D Vermetten, F Caraffini, MA Mitran, D Zaharie Evolutionary Computation 32 (1), 3-48, 2024 | 16 | 2024 |
| Modular differential evolution D Vermetten, F Caraffini, AV Kononova, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference, 864-872, 2023 | 16 | 2023 |
| Analysis of structural bias in differential evolution configurations D Vermetten, B van Stein, AV Kononova, F Caraffini Differential evolution: From theory to practice, 1-22, 2022 | 14 | 2022 |
| Using affine combinations of bbob problems for performance assessment D Vermetten, F Ye, C Doerr Proceedings of the Genetic and Evolutionary Computation Conference, 873-881, 2023 | 13 | 2023 |
| Explainable benchmarking for iterative optimization heuristics N van Stein, D Vermetten, AV Kononova, T Bäck arXiv preprint arXiv:2401.17842, 2024 | 11 | 2024 |
| MA-BBOB: Many-affine combinations of BBOB functions for evaluating automl approaches in noiseless numerical black-box optimization contexts D Vermetten, F Ye, T Bäck, C Doerr International Conference on Automated Machine Learning, 7/1-14, 2023 | 10 | 2023 |
| Trajectory-based algorithm selection with warm-starting A Jankovic, D Vermetten, A Kostovska, J de Nobel, T Eftimov, C Doerr 2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022 | 10 | 2022 |
| The importance of landscape features for performance prediction of modular CMA-ES variants A Kostovska, D Vermetten, S Džeroski, C Doerr, P Korosec, T Eftimov Proceedings of the Genetic and Evolutionary Computation Conference, 648-656, 2022 | 10 | 2022 |
| Is there anisotropy in structural bias? D Vermetten, AV Kononova, F Caraffini, H Wang, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 10 | 2021 |
Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayVerifisert e-postadresse på liacs.leidenuniv.nl