| One PLOT to Show Them All: Visualization of Efficient Sets in Multi-objective Landscapes L Schäpermeier, C Grimme, P Kerschke International Conference on Parallel Problem Solving from Nature, 154-167, 2020 | 22 | 2020 |
| To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes L Schäpermeier, C Grimme, P Kerschke International Conference on Evolutionary Multi-Criterion Optimization, 2021 | 18 | 2021 |
| HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis L Schneider, L Schäpermeier, RP Prager, B Bischl, H Trautmann, ... International Conference on Parallel Problem Solving from Nature, 575-589, 2022 | 12 | 2022 |
| MOLE: Digging Tunnels Through Multimodal Multi-Objective Landscapes L Schäpermeier, C Grimme, P Kerschke Genetic and Evolutionary Computation Conference (GECCO'22), 2022 | 7 | 2022 |
| Plotting impossible? Surveying visualization methods for continuous multi-objective benchmark problems L Schäpermeier, C Grimme, P Kerschke IEEE Transactions on Evolutionary Computation 26 (6), 1306-1320, 2022 | 6 | 2022 |
| Peak-a-boo! generating multi-objective multiple peaks benchmark problems with precise pareto sets L Schäpermeier, P Kerschke, C Grimme, H Trautmann International Conference on Evolutionary Multi-Criterion Optimization, 291-304, 2023 | 3 | 2023 |
| BBE: basin-based evaluation of multimodal multi-objective optimization problems J Heins, J Rook, L Schäpermeier, P Kerschke, J Bossek, H Trautmann International Conference on Parallel Problem Solving from Nature, 192-206, 2022 | 3 | 2022 |
| Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features RP Prager, K Dietrich, L Schneider, L Schäpermeier, B Bischl, P Kerschke, ... Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic …, 2023 | 2 | 2023 |
| Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization AE Rodriguez-Fernandez, L Schäpermeier, C Hernández, P Kerschke, ... IEEE Transactions on Evolutionary Computation, 2024 | | 2024 |
| Dancing to the State of the Art? How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem J Heins, L Schäpermeier, P Kerschke, D Whitley International Conference on Parallel Problem Solving from Nature, 100-115, 2024 | | 2024 |
| Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration L Schäpermeier, P Kerschke International Conference on Parallel Problem Solving from Nature, 202-216, 2024 | | 2024 |
| Challenges in Benchmarking Optimization Heuristics (Dagstuhl Seminar 23251) A Auger, PAN Bosman, P Kerschke, D Whitley, L Schäpermeier Schloss-Dagstuhl-Leibniz Zentrum für Informatik, 2024 | | 2024 |
| The objective that freed me: a multi-objective local search approach for continuous single-objective optimization P Aspar, V Steinhoff, L Schäpermeier, P Kerschke, H Trautmann, ... Natural Computing 22 (2), 271-285, 2023 | | 2023 |
Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, GermanyVerified email at tu-dresden.de
