| Current teams : | ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL |
| Former team : | ACASA |
| Publications RO | 2023 | 2024 | Total |
|---|---|---|---|
| Books | 0 | 0 | 0 |
| Edited books | 0 | 0 | 0 |
| Journal articles | 15 | 9 | 24 |
| Book chapters | 0 | 0 | 0 |
| Conference papers | 34 | 8 | 42 |
| Habilitations | 0 | 0 | 0 |
| Thesis | 2 | 0 | 2 |
- S. Angelopoulos, M. Bienkowski, Ch. Dürr, B. Simon : “Contract Scheduling with Distributional and Multiple Advice”, Proceedings of the 33rd International Joint Conference in Artificial Intelligence (IJCAI-24), Jeju Island, Korea, Republic of [Angelopoulos 2024d]
- K. Dietrich, D. Vermetten, C. Doerr, P. Kerschke : “Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization”, GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference, Melbourne, Australia [Dietrich 2024]
- J. Grus, C. Hanen, Z. Hanzalek : “Packing-Inspired Algorithms for Periodic Scheduling Problems with Harmonic Periods”, Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - ICORES, vol. 1, Rome, Italy, pp. 101-112, (SciTePress - Science and Technology Publications), (ISBN: 978-989-758-681-1) [Grus 2024]
- M. Mallem, C. Hanen, A. Munier‑Kordon : “A New Structural Parameter on Single Machine Scheduling with Release Dates and Deadlines”, International Symposium on combinatorial optimization 2024, vol. 14594, Lecture Notes in Computer Science, Tenerife (Canaries), Spain, pp. 205-219, (Springer Nature Switzerland) [Mallem 2024]
- A. Nikolikj, A. Kostovska, D. Vermetten, C. Doerr, T. Eftimov : “Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks”, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, (IEEE) [Nikolikj 2024a]
- A. Nikolikj, A. Kostovska, G. Cenikj, C. Doerr, T. Eftimov : “Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks”, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, (IEEE) [Nikolikj 2024b]
- M. Seiler, U. Skvorc, C. Doerr, H. Trautmann : “Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection”, The 18th Learning and Intelligent OptimizatioN Conference (LION 2024), Lecture Notes in Computer Science, Ischia, Italy, (Springer) [Seiler 2024]
- D. Vermetten, C. Doerr, H. Wang, A. Kononova, Th. Bäck : “Large-scale Benchmarking of Metaphor-based Optimization Heuristics”, GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference, Melbourne, Australia [Vermetten 2024]