| 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 | 12 | 108 |
| Book chapters | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 4 |
| Conference papers | 18 | 33 | 48 | 31 | 31 | 38 | 27 | 226 |
| Habilitations | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 4 |
| Theses | 1 | 1 | 0 | 3 | 3 | 2 | 1 | 11 |
- T. Allouche, B. Escoffier, S. Moretti, M. Ă–ztĂĽrk : “Social Ranking Manipulability for the CP-Majority, Banzhaf and Lexicographic Excellence Solutions”, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence {IJCAI-PRICAI-20}, Yokohama, Japan, pp. 17-23, (International Joint Conferences on Artificial Intelligence Organization) [Allouche 2020]
- S. Angelopoulos, Ch. DĂĽrr, Sh. Kamali, Sh. Jin, M. Renault : “Online Computation with Untrusted Advice”, 11th Innovations in Theoretical Computer Science Conference (ITCS 2020), vol. 151, Leibniz International Proceedings in Informatics (LIPIcs), Seattle, United States, pp. 52:1-52:15, (Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik) [Angelopoulos 2020c]
- K. Antonov, A. Buzdalova, C. Doerr : “Mutation Rate Control in the (1 + λ) Evolutionary Algorithm with a Self-adjusting Lower Bound”, Mathematical Optimization Theory and Operations Research 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Revised Selected Papers, vol. 1275, Communications in Computer and Information Science, Novosibirsk, Russian Federation, pp. 305-319 [Antonov 2020]
- E. Bampis, K. Dogeas, A. Kononov, G. Lucarelli, F. Pascual : “Scheduling Malleable Jobs Under Topological Constraints”, 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, LA, United States, pp. 316-325, (IEEE) [Bampis 2020]
- N. Benammar, Ph. ChrĂ©tienne, E. Hyon, A. Jean‑Marie : “Approches par horizon roulant pour un problème de planification stochastique”, ROADEF 2020 - 21ème congrès annuel de la sociĂ©tĂ© Française de Recherche OpĂ©rationnelle et d'Aide Ă la DĂ©cision, Montpellier, France [Benammar 2020]
- P. Bendotti, Ph. ChrĂ©tienne, P. Fouilhoux, A. Pass‑Lanneau : “Anchored Rescheduling Problems Under Generalized Precedence Constraints”, Combinatorial Optimization, 6th International Symposium, ISCO 2020, Montreal, QC, Canada, May 4–6, 2020, vol. 12176, Lecture Notes in Computer Science, Montreal, QC, Canada, pp. 156-166 [Bendotti 2020b]
- P. Bendotti, Ph. ChrĂ©tienne, P. Fouilhoux, A. Pass‑Lanneau : “Outils de rĂ©solution exacte pour l’ancrage de solutions en ordonnancement de projet”, ROADEF - 21ème congrès annuel de la SociĂ©tĂ© française de recherche opĂ©rationnelle et d'aide Ă la dĂ©cision, Montpellier, France [Bendotti 2020c]
- J. Bossek, C. Doerr, P. Kerschke : “Initial Design Strategies and their Effects on Sequential Model-Based Optimization An Exploratory Case Study Based on BBOB”, Genetic and Evolutionary Computation Conference (GECCO'20), Cancun, Mexico [Bossek 2020a]
- J. Bossek, C. Doerr, P. Kerschke, A. Neumann, F. Neumann : “Evolving Sampling Strategies for One-Shot Optimization Tasks”, Parallel Problem Solving from Nature – PPSN XVI, vol. 12269, Lecture Notes in Computer Science, Leiden, Netherlands, pp. 111-124, (Springer) [Bossek 2020b]
- M. Buzdalov, B. Doerr, C. Doerr, D. Vinokurov : “Fixed-Target Runtime Analysis”, GECCO 2020 - The Genetic and Evolutionary Computation Conference, Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO'20), Cancun, Mexico [Buzdalov 2020a]
- M. Buzdalov, C. Doerr : “Optimal Mutation Rates for the $(1+\lambda )$ EA on OneMax”, Parallel Problem Solving from Nature – PPSN XVI, vol. 12270, Lecture Notes in Computer Science, Leiden, Netherlands, pp. 574-587, (Springer) [Buzdalov 2020b]
- A. Buzdalova, C. Doerr, A. Rodionova : “Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm”, Parallel Problem Solving from Nature – PPSN XVI, vol. 12270, Lecture Notes in Computer Science, Leiden, Netherlands, pp. 485-499, (Springer) [Buzdalova 2020]
- V. Cohen‑Addad, F. Mallmann‑Trenn, C. Mathieu : “Instance-Optimality in the Noisy Value-and Comparison-Model”, Proceedings of the 2020 {ACM-SIAM} Symposium on Discrete Algorithms, {SODA} 2020, Salt Lake City, United States, pp. 2124-2143, (Society for Industrial and Applied Mathematics) [Cohen-Addad 2020]
- B. Doerr, C. Doerr, A. Neumann, F. Neumann, A. Sutton : “Optimization of Chance-Constrained Submodular Functions”, AAAI-20 Thirty-Fourth AAAI Conference on Artificial Intelligence, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'20), New York, United States [Doerr 2020a]
- T. Eftimov, G. Popovski, Q. Renau, P. Korosec, C. Doerr : “Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes”, 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, pp. 775-782, (IEEE) [Eftimov 2020]
- B. Escoffier, E. Bampis, A. Kononov : “LP-Based Algorithms for Multistage Minimization Problems”, Approximation and Online Algorithms, WAOA 2020, vol. 12806, Lecture Notes in Computer Science, Pisa, Italy, pp. 1-15, (Springer) [Escoffier 2020a]
- B. Escoffier, H. Gilbert, A. Pass‑Lanneau : “Iterative Delegations in Liquid Democracy with Restricted Preferences”, AAAI Technical Track: Game Theory and Economic Paradigms, vol. 34 (2), New-York, NY, United States, pp. 1926-1933 [Escoffier 2020b]
- B. Escoffier, O. Spanjaard, M. Tydrichová : “Recognizing Single-Peaked Preferences on an Arbitrary Graph: Complexity and Algorithms”, Proceedings of the 13th International Symposium on Algorithmic Game Theory, SAGT 2020, vol. 12283, Lecture Notes in Computer Science, Augsburg, Germany, pp. 291-306, (Springer) [Escoffier 2020c]
- A.‑E. Falq, P. Fouilhoux, S. Kedad‑Sidhoum : “Linear inequalities for neighborhood based dominance properties for the common due-date scheduling problem”, 21ème congrès annuel de la SociĂ©tĂ© française de recherche opĂ©rationnelle et d'aide Ă la dĂ©cision (ROADEF 2020), Montpellier, France [Falq 2020]
- A. Feldmann, D. Saulpic : “Polynomial Time Approximation Schemes for Clustering in Low Highway Dimension Graphs”, 28th Annual European Symposium on Algorithms (ESA 2020), vol. 173, Leibniz International Proceedings in Informatics (LIPIcs), Pisa, Italy, pp. 46:1-46:22, (Schloss Dagstuhl--Leibniz-Zentrum fĂĽr Informatik) [Feldmann 2020]
- V. Grollemund, G. Chat, J.‑F. Pradat‑Peyre, F. Delbot : “Manifold Learning for Innovation Funding: Identification of Potential Funding Recipients”, Artificial Intelligence Applications and Innovations, vol. 583, IFIP Advances in Information and Communication Technology, Neos Marmaras, Greece, pp. 119-127, (Springer International Publishing) [Grollemund 2020a]
- C. Hanen, A. Munier‑Kordon : “Two Deadline Reduction Algorithms for Scheduling Dependent Typed-tasks Systems”, ROADEF 2020, Montpellier, France [Hanen 2020a]
- A. Janković, C. Doerr : “Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants”, GECCO'20 Proceedings of the ACM Genetic and Evolutionary Computation Conference, GECCO 2020 Proceedings, Cancun, Mexico, (ACM) [Janković 2020]
- L. Meunier, C. Doerr, J. Rapin, O. Teytaud : “Variance Reduction for Better Sampling in Continuous Domains”, Parallel Problem Solving from Nature – PPSN XVI, vol. 12269, Lecture Notes in Computer Science, Leiden, Netherlands, pp. 154-168, (Springer) [Meunier 2020]
- G. Papa, C. Doerr : “Dynamic control parameter choices in evolutionary computation”, GECCO '20: Genetic and Evolutionary Computation Conference, Proc. of Genetic and Evolutionary Computation Conference (GECCO'20, Companion Material), CancĂşn, Mexico, pp. 927-956, (ACM) [Papa 2020]
- E. Raponi, H. Wang, M. Bujny, S. Boria, C. Doerr : “High Dimensional Bayesian Optimization Assisted by Principal Component Analysis”, Parallel Problem Solving from Nature – PPSN XVI, vol. 12269, Lecture Notes in Computer Science, Leiden, Netherlands, pp. 169-183, (Springer) [Raponi 2020]
- Q. Renau, C. Doerr, J. DrĂ©o, B. Doerr : “Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy”, Parallel Problem Solving from Nature – PPSN XVI, vol. 12270, Lecture Notes in Computer Science, Leiden, Netherlands, pp. 139-153, (Springer) [Renau 2020]
- D. Vermetten, H. Wang, C. Doerr, Th. Bäck : “Integrated vs. Sequential Approaches for Selecting and Tuning CMA-ES Variants”, ACM Genetic and Evolutionary Computation Conference (GECCO'20), Proc. of ACM Genetic and Evolutionary Computation Conference (GECCO'20), Cancun, Mexico [Vermetten 2020a]
- D. Vermetten, H. Wang, Th. Bäck, C. Doerr : “Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case”, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'20), Cancun, Mexico [Vermetten 2020b]
- H. Wang, C. Doerr, O. Shir, Th. Bäck : “Benchmarking and analyzing iterative optimization heuristics with IOHprofiler (GECCO'20 tutorial)”, Proc. of Genetic and Evolutionary Computation Conference (GECCO'20, Companion material), CancĂşn, Mexico, pp. 1043-1054, (ACM) [Wang 2020]
- F. Ye, H. Wang, C. Doerr, Th. Bäck : “Benchmarking a $$(\mu +\lambda )$$ Genetic Algorithm with Configurable Crossover Probability”, Parallel Problem Solving from Nature – PPSN XVI (PPSN 2020), vol. 12270, Lecture Notes in Computer Science, Leiden, Netherlands, pp. 699-713, (Springer) [Ye 2020]