| Augmented Lagrangian, penalty techniques and surrogate modeling for constrained optimization with CMA-ES P Dufossé, N Hansen Proceedings of the Genetic and Evolutionary Computation Conference, 519-527, 2021 | 8 | 2021 |
| 3MO Comprehensive biomarkers (BMS) analysis to predict efficacy of PD1/L1 immune checkpoint inhibitors (ICIs) in combination with chemotherapy: A subgroup analysis of the … F Barlesi, L Greillier, F Monville, CA Valette, S Martinez, N Cloarec, ... Immuno-Oncology and Technology 16, 2022 | 6* | 2022 |
| Phased-Array Antenna Pattern Optimization with Evolution Strategies P Dufossé, C Enderli, L Savy, N Hansen 2020 IEEE Radar Conference (RadarConf20), 1-6, 2020 | 5 | 2020 |
| Benchmarking MO-CMA-ES and COMO-CMA-ES on the Bi-objective bbob-biobj Testbed P Dufossé, C Touré Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 5 | 2019 |
| Benchmarking several strategies to update the penalty parameters in AL-CMA-ES on the bbob-constrained testbed P Dufossé, A Atamna GECCO '22: Proceedings of the Genetic and Evolutionary Computation …, 2022 | 1 | 2022 |
| Une comparaison des algorithmes d'apprentissage pour la survie avec donn\'ees manquantes P Dufossé, S Benzekry arXiv preprint arXiv:2303.13590, 2023 | | 2023 |
| Algorithms for non-linear constrained continuous optimization: a comparison between gradient-based methods and evolution strategies, and applications to radar antenna design P Dufossé Institut Polytechnique de Paris, 2022 | | 2022 |
| Finding optimal Pulse Repetion Intervals with Many-objective Evolutionary Algorithms P Dufossé, C Enderli arXiv preprint arXiv:2011.06913, 2020 | | 2020 |
Nikolaus HansenInria & Ecole Polytechnique & Institut Polytechnique de Paris, FranceVerified email at Inria.fr
