@techreport{63633,
  author       = {{Eimer, Theresa and Schäpermeier, Lennart and Biedenkapp, André and Tornede, Alexander and Kotthoff, Lars and Leyman, Pieter and Feurer, Matthias and Eggensperger, Katharina and Maile, Kaitlin and Tornede, Tanja and Kozak, Anna and Xue, Ke and Wever, Marcel Dominik and Baratchi, Mitra and Pulatov, Damir and Trautmann, Heike and Kashgarani, Haniye and Lindauer, Marius}},
  title        = {{{Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network}}},
  doi          = {{DOI:10.48550/arXiv.2512.16491}},
  year         = {{2025}},
}

@inproceedings{63703,
  author       = {{Hoffbauer, Tilman and Hoos, Holger H. and Bossek, Jakob}},
  booktitle    = {{AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA}},
  editor       = {{Walsh, Toby and Shah, Julie and Kolter, Zico}},
  pages        = {{17223–17230}},
  publisher    = {{AAAI Press}},
  title        = {{{KernelMatmul: Scaling Gaussian Processes to Large Time Series}}},
  doi          = {{10.1609/AAAI.V39I16.33893}},
  year         = {{2025}},
}

@inproceedings{63704,
  author       = {{Wittner, Dominic and Bossek, Jakob}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}},
  editor       = {{Filipic, Bogdan}},
  pages        = {{340–348}},
  publisher    = {{ACM}},
  title        = {{{Cluster Prevention in Evolutionary Diversity Optimization for Parallel Machine Scheduling}}},
  doi          = {{10.1145/3712256.3726357}},
  year         = {{2025}},
}

@inproceedings{61918,
  author       = {{Rook, Jeroen and Renau, Quentin and Trautmann, Heike and Hart, Emma}},
  booktitle    = {{Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2025, Leiden, The Netherlands, August 27-29, 2025}},
  pages        = {{262–272}},
  publisher    = {{ACM}},
  title        = {{{Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances}}},
  doi          = {{10.1145/3729878.3746615}},
  year         = {{2025}},
}

@article{59073,
  author       = {{Rook, Jeroen G. and Benjamins, Carolin and Bossek, Jakob and Trautmann, Heike and Hoos, Holger H. and Lindauer, Marius}},
  issn         = {{1063-6560}},
  journal      = {{Evolutionary Computation}},
  pages        = {{1--25}},
  title        = {{{MO-SMAC: Multi-objective Sequential Model-based Algorithm Configuration}}},
  doi          = {{10.1162/evco_a_00371}},
  year         = {{2025}},
}

@inproceedings{60219,
  author       = {{Vermetten, Diederick and Rook, Jeroen and Preuß, Oliver Ludger and de Nobel, Jacob and Doerr, Carola and López-Ibáñez, Manuel and Trautmann, Heike and Bäck, Thomas}},
  booktitle    = {{Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part I}},
  editor       = {{Singh, Hemant K. and Ray, Tapabrata and Knowles, Joshua D. and Li, Xiaodong and Branke, Juergen and Wang, Bing and Oyama, Akira}},
  pages        = {{242–256}},
  publisher    = {{Springer}},
  title        = {{{MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler}}},
  doi          = {{10.1007/978-981-96-3506-1_17}},
  volume       = {{15512}},
  year         = {{2025}},
}

@article{60220,
  author       = {{Seiler, Moritz and Kerschke, Pascal and Trautmann, Heike}},
  journal      = {{Evolutionary Computation}},
  pages        = {{1--27}},
  title        = {{{Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems }}},
  doi          = {{https://doi.org/10.1162/evco_a_00367}},
  year         = {{2025}},
}

@inproceedings{60813,
  author       = {{Seiler, Moritz and Preuß, Oliver Ludger and Trautmann, Heike}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}},
  editor       = {{Filipic, Bogdan}},
  pages        = {{76–84}},
  publisher    = {{ACM}},
  title        = {{{RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces}}},
  doi          = {{10.1145/3712256.3726478}},
  year         = {{2025}},
}

@inproceedings{60812,
  author       = {{Preuß, Oliver Ludger and Mensendiek, Carolin and Rook, Jeroen and Bossek, Jakob and Trautmann, Heike}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}},
  editor       = {{Filipic, Bogdan}},
  pages        = {{58–66}},
  publisher    = {{ACM}},
  title        = {{{Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes}}},
  doi          = {{10.1145/3712256.3726481}},
  year         = {{2025}},
}

@inproceedings{60814,
  author       = {{Schede, Elias and Seiler, Moritz and Tierney, Kevin and Trautmann, Heike}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}},
  editor       = {{Filipic, Bogdan}},
  pages        = {{1190–1198}},
  publisher    = {{ACM}},
  title        = {{{Deep reinforcement learning for instance-specific algorithm configuration (GECCO Best Paper Award)}}},
  doi          = {{10.1145/3712256.3726480}},
  year         = {{2025}},
}

@inproceedings{61032,
  author       = {{Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Castellanos, Carlos Hernandez and Kerschke, Pascal and Trautmann, Heike and Schütze, Oliver}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}},
  pages        = {{61--62}},
  publisher    = {{ACM}},
  title        = {{{Hot off the Press: Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization}}},
  doi          = {{/10.1145/3712255.3734260}},
  year         = {{2025}},
}

@article{63053,
  author       = {{Hernández, Carlos and Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Cuate, Oliver and Trautmann, Heike and Schütze, Oliver}},
  journal      = {{IEEE Transactions on Evolutionary Computation}},
  keywords     = {{Optimization, Evolutionary computation, Hands, Proposals, Convergence, Computational efficiency, Artificial intelligence, Accuracy, Approximation algorithms, Aerospace electronics, Multi-objective optimization, evolutionary algorithms, nearly optimal solutions, multimodal optimization, archiving, continuation}},
  pages        = {{1--1}},
  title        = {{{An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization}}},
  doi          = {{10.1109/TEVC.2025.3637276}},
  year         = {{2025}},
}

@article{54548,
  author       = {{Prager, Raphael Patrick and Trautmann, Heike}},
  journal      = {{IEEE Transactions on Evolutionary Computation}},
  keywords     = {{Optimization, Evolutionary computation, Benchmark testing, Hyperparameter optimization, Portfolios, Extraterrestrial measurements, Dispersion, Exploratory landscape analysis, mixed-variable problem, mixed search spaces, automated algorithm selection}},
  pages        = {{1--1}},
  title        = {{{Exploratory Landscape Analysis for Mixed-Variable Problems}}},
  doi          = {{10.1109/TEVC.2024.3399560}},
  year         = {{2024}},
}

@inproceedings{54642,
  author       = {{Dietrich, K. and Prager, R. and Doerr, C. and Trautmann, Heike}},
  booktitle    = {{Parallel Problem Solving from Nature — PPSN XVIII}},
  editor       = {{Affenzeller, M and Winkler, S and Kononova, A and Trautmann, H and Tušar, T and Machado, P and Baeck, T}},
  pages        = {{1--14}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization}}},
  year         = {{2024}},
}

@inbook{52759,
  author       = {{Preuß, Oliver Ludger and Rook, Jeroen and Trautmann, Heike}},
  booktitle    = {{Applications of Evolutionary Computation}},
  isbn         = {{9783031568510}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems}}},
  doi          = {{10.1007/978-3-031-56852-7_20}},
  year         = {{2024}},
}

@inproceedings{52749,
  author       = {{Seiler, Moritz and Rook, Jeroen and Heins, Jonathan and Preuß, Oliver Ludger and Bossek, Jakob and Trautmann, Heike}},
  booktitle    = {{2023 IEEE Symposium Series on Computational Intelligence (SSCI)}},
  publisher    = {{IEEE}},
  title        = {{{Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP}}},
  doi          = {{10.1109/ssci52147.2023.10372008}},
  year         = {{2024}},
}

@inproceedings{55649,
  author       = {{Rook, Jeroen and Hoos, Holger H. and Trautmann, Heike}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024}},
  editor       = {{Li, Xiaodong and Handl, Julia}},
  pages        = {{155–158}},
  publisher    = {{ACM}},
  title        = {{{Multi-objective Ranking using Bootstrap Resampling}}},
  doi          = {{10.1145/3638530.3654436}},
  year         = {{2024}},
}

@article{56221,
  author       = {{Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Hernández, Carlos and Kerschke, Pascal and Trautmann, Heike and Schütze, Oliver}},
  journal      = {{IEEE Transactions on Evolutionary Computation}},
  keywords     = {{Optimization, Evolutionary computation, Approximation algorithms, Benchmark testing, Vectors, Surveys, Pareto optimization, multi-objective optimization, evolutionary computation, multimodal optimization, local solutions}},
  pages        = {{1--1}},
  title        = {{{Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization}}},
  doi          = {{10.1109/TEVC.2024.3458855}},
  year         = {{2024}},
}

@inproceedings{58335,
  author       = {{Seiler, Moritz and Skvorc, Urban and Doerr, Carola and Trautmann, Heike}},
  booktitle    = {{Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers}},
  editor       = {{Festa, Paola and Ferone, Daniele and Pastore, Tommaso and Pisacane, Ornella}},
  pages        = {{361–376}},
  publisher    = {{Springer}},
  title        = {{{Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection}}},
  doi          = {{10.1007/978-3-031-75623-8_29}},
  volume       = {{14990}},
  year         = {{2024}},
}

@proceedings{58338,
  editor       = {{Affenzeller, Michael and Winkler, Stephan M. and Kononova, Anna V. and Trautmann, Heike and Tusar, Tea and Machado, Penousal and Bäck, Thomas}},
  isbn         = {{978-3-031-70070-5}},
  publisher    = {{Springer}},
  title        = {{{Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III}}},
  doi          = {{10.1007/978-3-031-70071-2}},
  volume       = {{15150}},
  year         = {{2024}},
}