| Exploratory landscape analysis is strongly sensitive to the sampling strategy Q Renau, C Doerr, J Dreo, B Doerr Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020 | 28 | 2020 |
| Expressiveness and robustness of landscape features Q Renau, J Dreo, C Doerr, B Doerr Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 16 | 2019 |
| Towards explainable exploratory landscape analysis: extreme feature selection for classifying BBOB functions Q Renau, J Dréo, C Doerr, B Doerr Applications of Evolutionary Computation: 24th International Conference …, 2021 | 12 | 2021 |
| Linear matrix factorization embeddings for single-objective optimization landscapes T Eftimov, G Popovski, Q Renau, P Korošec, C Doerr 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 775-782, 2020 | 9 | 2020 |
| Applications of Evolutionary Computation: 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings PA Castillo, JLJ Laredo Springer Nature, 2021 | 2 | 2021 |
| Landscape-Aware Selection of Metaheuristics for the Optimization of Radar Networks Q Renau Institut polytechnique de Paris, 2022 | 1 | 2022 |
| Automated algorithm selection for radar network configuration Q Renau, J Dreo, A Peres, Y Semet, C Doerr, B Doerr Proceedings of the Genetic and Evolutionary Computation Conference, 1263-1271, 2022 | | 2022 |
| Exploratory Landscape Analysis Feature Values for the 24 Noiseless BBOB Functions Q Renau, J Dreo, C Doerr, B Doerr 10.5281/zenodo.4449934, 2021 | | 2021 |
| Experimental Data Set for the study "Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy" Q Renau, C Doerr, J Dreo, B Doerr 10.5281/zenodo.3886816, 2020 | | 2020 |
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FranceVerified email at mpi-inf.mpg.de
