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Paul Dufossé
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2020 – today
- 2023
- [i2]Paul Dufossé, Sébastien Benzekry:
Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes. CoRR abs/2303.13590 (2023) - 2022
- [b1]Paul Dufossé:
Algorithms for non-linear constrained continuous optimization: a comparison between gradient-based methods and evolution strategies, and applications to radar antenna design. (Algorithmes pour l'optimisation non-linéaire continue sous contraintes : comparaison entre méthodes de gradient et stratégies d'évolution, et applications à la conception d'antennes Radar). Polytechnic Institute of Paris, Palaiseau, France, 2022 - [c3]Paul Dufossé, Asma Atamna
:
Benchmarking several strategies to update the penalty parameters in AL-CMA-ES on the bbob-constrained testbed. GECCO Companion 2022: 1691-1699 - 2021
- [c2]Paul Dufossé, Nikolaus Hansen:
Augmented lagrangian, penalty techniques and surrogate modeling for constrained optimization with CMA-ES. GECCO 2021: 519-527 - 2020
- [i1]Paul Dufossé, Cyrille Enderli:
Finding optimal Pulse Repetion Intervals with Many-objective Evolutionary Algorithms. CoRR abs/2011.06913 (2020)
2010 – 2019
- 2019
- [c1]Paul Dufossé, Cheikh Touré:
Benchmarking MO-CMA-ES and COMO-CMA-ES on the bi-objective bbob-biobj testbed. GECCO (Companion) 2019: 1920-1927
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last updated on 2024-08-30 21:39 CEST by the dblp team
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