Team

2024

• Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box OptimizationDietrich, K., Prager, R. P., Doerr, C. & Trautmann, H., 7 Sep 2024, Parallel Problem Solving from Nature – PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part II. Affenzeller, M., Winkler, S. M., Kononova, A. V., Bäck, T., Trautmann, H., Tušar, T. & Machado, P. (eds.).p. 154–169, 16 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box OptimizationDietrich, K., Vermetten, D., Doerr, C. & Kerschke, P., 14 Jul 2024, Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM), p. 1007 - 1016, 10 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2023

• Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape FeaturesPrager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P., Trautmann, H. & 1 others, 30 Aug 2023, FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. p. 129-139, 11 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Evaluation of Algorithms from the Nevergrad Toolbox on the Strictly Box-Constrained SBOX-COST Benchmarking SuiteDietrich, K. & Kerschke, P., 15 Jul 2023, GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2022

• Increasing the Diversity of Benchmark Function Sets Through Affine RecombinationDietrich, K. & Mersmann, O., 2022, Parallel Problem Solving from Nature – PPSN XVII - 17th International Conference, PPSN 2022, Proceedings. Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T. (eds.).p. 590-602, 13 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2026

• BONO-Bench: A Comprehensive Test Suite for Bi-objective Numerical Optimization with Traceable Pareto SetsSchäpermeier, L. & Kerschke, P., 26 Jan 2026, In: ACM Transactions on Evolutionary LearningElectronic (full-text) versionResearch output: Contribution to journal > Research article

2025

• R2 v2: The Pareto-Compliant R2 Indicator for Better Benchmarking in Bi-Objective OptimizationSchäpermeier, L. & Kerschke, P., 9 Dec 2025, In: Evolutionary Computation. 2025, p. 1-17, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal OptimizationRodriguez-Fernandez, A. E., Schäpermeier, L., Hernández, C., Kerschke, P., Trautmann, H. & Schütze, O., Oct 2025, In: IEEE transactions on evolutionary computation : a publication of the IEEE Neural Networks Council. 29, 5, p. 2019-2031, 13 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Hot off the Press: Finding e-locally Optimal Solutions for Multi-objective Multimodal OptimizationRodriguez-Fernandez, A. E., Schütze, O., Schäpermeier, L., Kerschke, P., Castellanos, C. H. & Trautmann, H., 11 Aug 2025, GECCO 2025 Companion - Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion. Ochoa, G. (ed.). Association for Computing Machinery, Inc, p. 61-62, 2 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems.Schäpermeier, L., Jul 2025, GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference. Ochoa, G. (ed.).p. 1199 - 1207, 9 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2024

• Dancing to the State of the Art?: How Candidate Lists Influence LKH for Solving the Traveling Salesperson ProblemHeins, J., Schäpermeier, L., Kerschke, P. & Whitley, D., 7 Sep 2024, Parallel Problem Solving from Nature – PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part I. Affenzeller, M., Winkler, S. M., Kononova, A. V., Bäck, T., Trautmann, H., Tušar, T. & Machado, P. (eds.).p. 100-115, 16 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Reinvestigating the R2 Indicator: Achieving Pareto Compliance by IntegrationSchäpermeier, L. & Kerschke, P., 7 Sep 2024, Parallel Problem Solving from Nature – PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part IV. Affenzeller, M., Winkler, S. M., Kononova, A. V., Bäck, T., Trautmann, H., Tušar, T. & Machado, P. (eds.).p. 202-216, 15 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2023

• Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape FeaturesPrager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P., Trautmann, H. & 1 others, 30 Aug 2023, FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. p. 129-139, 11 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto SetsSchäpermeier, L., Kerschke, P., Grimme, C. & Trautmann, H., 2023, Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Proceedings. Emmerich, M., Deutz, A., Wang, H., Kononova, A. V., Naujoks, B., Li, K., Miettinen, K. & Yevseyeva, I. (eds.).14 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2022

• Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark ProblemsSchäpermeier, L., Grimme, C. & Kerschke, P., Dec 2022, In: IEEE transactions on evolutionary computation : a publication of the IEEE Neural Networks Council. 26, 6, p. 1306-1320, 15 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• The objective that freed me: a multi-objective local search approach for continuous single-objective optimizationAspar, P., Steinhoff, V., Schäpermeier, L., Kerschke, P., Trautmann, H. & Grimme, C., 5 Sep 2022, In: Natural computing : an innovative journal bridging biosciences and computer sciences ; an international journal. 22, 2, p. 271 - 285, 15 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• MOLE: Digging Tunnels Through Multimodal Multi-objective LandscapesSchäpermeier, L., Grimme, C. & Kerschke, P., 8 Jul 2022, GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference. p. 592-600, 9 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization ProblemsHeins, J., Rook, J., Schäpermeier, L., Kerschke, P., Bossek, J. & Trautmann, H., 2022, Parallel Problem Solving from Nature – PPSN XVII - 17th International Conference, PPSN 2022, Proceedings. Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T. (eds.).p. 192-206, 15 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• HPO × ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape AnalysisSchneider, L., Schäpermeier, L., Prager, R. P., Bischl, B., Trautmann, H. & Kerschke, P., 2022, Parallel Problem Solving from Nature – PPSN XVII - 17th International Conference, PPSN 2022, Proceedings. Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T. (eds.).p. 575-589, 15 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2021

• To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective LandscapesSchäpermeier, L., Grimme, C. & Kerschke, P., 2021, Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Proceedings. Ishibuchi, H., Zhang, Q., Cheng, R., Li, K., Li, H., Wang, H. & Zhou, A. (eds.).p. 632-644, 13 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2020

• One PLOT to Show Them All: Visualization of Efficient Sets in Multi-objective LandscapesSchäpermeier, L., Grimme, C. & Kerschke, P., 2020, 16th International Conference on Parallel Problem Solving from NatureElectronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution