| Current teams : | ACASA ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL |
| Former team : | Phare |
| Publications RO | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | Total |
|---|---|---|---|---|---|---|---|---|
| Books | 0 | 1 | 2 | 0 | 1 | 0 | 0 | 4 |
| Edited books | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 4 |
| Journal articles | 14 | 15 | 16 | 15 | 19 | 17 | 2 | 98 |
| Book chapters | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 4 |
| Conference papers | 18 | 33 | 48 | 31 | 31 | 38 | 2 | 201 |
| Habilitations | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 4 |
| Theses | 1 | 1 | 0 | 3 | 3 | 2 | 0 | 10 |
- S. Angelopoulos : “Calcul en ligne : améliorer ses performances en utilisant des prédictions”, Interstices, (INRIA) [Angelopoulos 2022a]
- E. Bampis, B. Escoffier, A. Teiller : “Multistage knapsack”, Journal of Computer and System Sciences, vol. 126, pp. 106-118, (Elsevier) [Bampis 2022a]
- E. Bampis, D. Christou, B. Escoffier, A. Kononov, K. Nguyen : “A simple rounding scheme for multistage optimization”, Theoretical Computer Science, vol. 907, pp. 1-10, (Elsevier) [Bampis 2022c]
- E. Bampis, D. Christou, B. Escoffier, K. Nguyen : “Online learning for min-max discrete problems”, Theoretical Computer Science, vol. 930, pp. 209-217, (Elsevier) [Bampis 2022d]
- M. Buzdalov, B. Doerr, C. Doerr, D. Vinokurov : “Fixed-Target Runtime Analysis”, Algorithmica, vol. 84 (6), pp. 1762-1793, (Springer Verlag) [Buzdalov 2022]
- F. Clément, C. Doerr, L. Paquete : “Star Discrepancy Subset Selection: Problem Formulation and Efficient Approaches for Low Dimensions”, Journal of Complexity, vol. 70, pp. 101645, (Elsevier) [Clément 2022]
- C. Doerr, M. Krejca : “Run Time Analysis for Random Local Search on Generalized Majority Functions”, IEEE Transactions on Evolutionary Computation, pp. 1-13, (Institute of Electrical and Electronics Engineers) [Doerr 2022b]
- F. Dufossé, Ch. Dürr, N. Nadal, D. Trystram, Ó. Vásquez : “Scheduling with a processing time oracle”, Applied Mathematical Modelling, vol. 104, pp. 701-720, (Elsevier) [Dufossé 2022]
- Th. Ehrhard, S. Attias, E. Bampis, V. Cohen‑Addad, B. Escoffier, C. Mathieu, F. Pascual, A. Pass‑Lanneau, D. Saulpic : “Découpage électoral des circonscriptions législatives en France: déséquilibres démographiques et contraintes territoriales”, Revue Française de Science Politique, vol. Vol. 72 (3), pp. 333-364, (Presses de Sciences Po) [Ehrhard 2022]
- B. Escoffier, L. Gourvès, V. Paschos : “In memory of Jérôme Monnot”, Theoretical Computer Science, vol. 921, pp. 1-3, (Elsevier) [Escoffier 2022a]
- B. Escoffier, O. Spanjaard, M. Tydrichová : “Weighted majority tournaments and Kemeny ranking with 2-dimensional Euclidean preferences”, Discrete Applied Mathematics, vol. 318, pp. 6-12, (Elsevier) [Escoffier 2022b]
- A.‑E. Falq, P. Fouilhoux, S. Kedad‑Sidhoum : “Dominance inequalities for scheduling around an unrestrictive common due date”, European Journal of Operational Research, vol. 296 (2), pp. 453-464, (Elsevier) [Falq 2022]
- L. Meunier, H. Rakotoarison, P. Wong, B. Roziere, J. Rapin, O. Teytaud, A. Moreau, C. Doerr : “Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking”, IEEE Transactions on Evolutionary Computation, vol. 26 (3), (Institute of Electrical and Electronics Engineers) [Meunier 2022]
- F. Quezada, C. Gicquel, S. Kedad‑Sidhoum : “Combining polyhedral approaches and stochastic dual dynamic integer programming for solving the uncapacitated lot-sizing problem under uncertainty”, INFORMS Journal on Computing, vol. 34 (2), pp. 1024-1041, (Institute for Operations Research and the Management Sciences (INFORMS)) [Quezada 2022]
- K. Van der Blom, H. Hoos, Ch. Luo, J. Rook : “Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems”, IEEE Transactions on Evolutionary Computation, vol. 26 (6), pp. 1351-1364, (Institute of Electrical and Electronics Engineers) [van der Blom 2022]
- H. Wang, D. Vermetten, F. Ye, C. Doerr, Th. Bäck : “IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics”, ACM Transactions on Evolutionary Learning and Optimization, vol. 2 (1), pp. 3:1-3:29 [Wang 2022]
- F. Ye, C. Doerr, H. Wang, Th. Bäck : “Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance”, IEEE Transactions on Evolutionary Computation, vol. 26 (6), pp. 1526-1538, (Institute of Electrical and Electronics Engineers) [Ye 2022a]