Benchmarking that Matters: Rethinking Benchmarking in Continuous Optimisation for Practical Impact - Kononova, Anna V.; van Stein, Niki; Mersmann, Olaf; Bäck, Thomas; Bartz-Beielstein, Thomas; Glasmachers, Tobias; Hellwig, Michael; Krey, Sebastian; Kudela, Jakub; Naujoks, Boris; Papenmeier, Leonard; Raponi, Elena; et al. (Applications of Evolutionary Computation - 29th European Conference, EvoApplications 2026, Held as Part of EvoStar 2026, Toulouse, France, April 8-10, 2026, Proceedings, Part II)

LLM Driven Design of Continuous Optimization Problems with Controllable High-Level Properties - Skvorc, Urban; van Stein, Niki; Seiler, Moritz; Grimme, Britta; Bäck, Thomas; Trautmann, Heike (Applications of Evolutionary Computation - 29th European Conference, EvoApplications 2026, Held as Part of EvoStar 2026, Toulouse, France, April 8-10, 2026, Proceedings, Part II)

Digging to the Ground Truth: Solving Multi-objective Gray-Box Optimization Problems through Hyperplane Elimination - Mensendiek, Carolin; Preuß, Oliver Ludger; Rook, Jeroen; Chicano, Francisco; Whitley, Darrell; Trautmann, Heike (Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2026, Centro Internacional de Convenciones CIC-ANDE, San Jose, Costa Rica, July 13-17, 2026)

Multi-Objective Pipeline Optimisation and Configuration of Automatic Train Operation Trajectories - Mensendiek, Carolin; Zeipel, Henrik; Preuß, Oliver Ludger; Seiler, Moritz; Sextro, Walter; Trautmann, Heike (Proceedings of the Genetic and Evolutionary Computation Conference Companion)

Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network - Eimer, Theresa; Schäpermeier, Lennart; Biedenkapp, André; Tornede, Alexander; Kotthoff, Lars; Leyman, Pieter; Feurer, Matthias; Eggensperger, Katharina; Maile, Kaitlin; Tornede, Tanja; Kozak, Anna; Xue, Ke; et al.

KernelMatmul: Scaling Gaussian Processes to Large Time Series - Hoffbauer, Tilman; Hoos, Holger H.; Bossek, Jakob (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA)

Cluster Prevention in Evolutionary Diversity Optimization for Parallel Machine Scheduling - Wittner, Dominic; Bossek, Jakob (Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025)

Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances - Rook, Jeroen; Renau, Quentin; Trautmann, Heike; Hart, Emma (Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2025, Leiden, The Netherlands, August 27-29, 2025)

An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization - Hernández, Carlos; Rodriguez-Fernandez, Angel E.; Schäpermeier, Lennart; Cuate, Oliver; Trautmann, Heike; Schütze, Oliver (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

MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler - Vermetten, Diederick; Rook, Jeroen; Preuß, Oliver Ludger; de Nobel, Jacob; Doerr, Carola; López-Ibáñez, Manuel; Trautmann, Heike; Bäck, Thomas (Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part I)

Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems - Seiler, Moritz; Kerschke, Pascal; Trautmann, Heike (Evolutionary Computation)

RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces - Seiler, Moritz; Preuß, Oliver Ludger; Trautmann, Heike (Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025)

Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes - Preuß, Oliver Ludger; Mensendiek, Carolin; Rook, Jeroen; Bossek, Jakob; Trautmann, Heike (Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025)

Deep reinforcement learning for instance-specific algorithm configuration (GECCO Best Paper Award) - Schede, Elias; Seiler, Moritz; Tierney, Kevin; Trautmann, Heike (Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025)

Advanced Use of Automatic Algorithm Configuration: Single- and Multi-Objective Approaches - Rook, Jeroen; López-Ibáñez, Manuel (Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025)

Out of Order: On the Importance of Word Positions in Explaining Text Classification - Lütke Stockdiek, Janina; Grimme, Britta; Griesbach, Marie; Grimme, Christian (International Artificial Intelligence Symposium)

Exploratory Landscape Analysis for Mixed-Variable Problems - Prager, Raphael Patrick; Trautmann, Heike (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

Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization - Dietrich, K.; Prager, R.; Doerr, C.; Trautmann, Heike (Parallel Problem Solving from Nature — PPSN XVIII)

On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems - Preuß, Oliver Ludger; Rook, Jeroen; Trautmann, Heike (Applications of Evolutionary Computation)

Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP - Seiler, Moritz; Rook, Jeroen; Heins, Jonathan; Preuß, Oliver Ludger; Bossek, Jakob; Trautmann, Heike (2023 IEEE Symposium Series on Computational Intelligence (SSCI))