One PLOT to Show Them All: Visualization of Efficient Sets in Multi-objective Landscapes. - Lennart Schäpermeier; Christian Grimme; Pascal Kerschke (PPSN (2), 2020)

To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes. - Lennart Schäpermeier; Christian Grimme; Pascal Kerschke (EMO, 2021)

MOLE: digging tunnels through multimodal multi-objective landscapes. - Lennart Schäpermeier; Christian Grimme; Pascal Kerschke (GECCO, 2022)

BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. - Jonathan Heins; Jeroen Rook; Lennart Schäpermeier; Pascal Kerschke; Jakob Bossek; Heike Trautmann (PPSN (1), 2022)

HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. - Lennart Schneider; Lennart Schäpermeier; Raphael Patrick Prager; Bernd Bischl; Heike Trautmann; Pascal Kerschke (PPSN (1), 2022)

HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. - Lennart Schneider; Lennart Schäpermeier; Raphael Patrick Prager; Bernd Bischl; Heike Trautmann; Pascal Kerschke (CoRR, 2022)

Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems. - Lennart Schäpermeier; Christian Grimme; Pascal Kerschke (IEEE Trans. Evol. Comput., 2022)

Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. - Lennart Schäpermeier; Pascal Kerschke; Christian Grimme; Heike Trautmann (EMO, 2023)

Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. - Raphael Patrick Prager; Konstantin Dietrich; Lennart Schneider; Lennart Schäpermeier; Bernd Bischl; Pascal Kerschke; Heike Trautmann; Olaf Mersmann (FOGA, 2023)

Challenges in Benchmarking Optimization Heuristics (Dagstuhl Seminar 23251). - Anne Auger; Peter A. N. Bosman; Pascal Kerschke; Darrell Whitley; Lennart Schäpermeier (Dagstuhl Reports, 2023)

The objective that freed me: a multi-objective local search approach for continuous single-objective optimization. - Pelin Aspar; Vera Steinhoff; Lennart Schäpermeier; Pascal Kerschke; Heike Trautmann; Christian Grimme (Nat. Comput., 2023)

Dancing to the State of the Art? - How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem. - Jonathan Heins; Lennart Schäpermeier; Pascal Kerschke; Darrell Whitley (PPSN (1), 2024)

Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration. - Lennart Schäpermeier; Pascal Kerschke (PPSN (4), 2024)

Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems. - Lennart Schäpermeier (GECCO, 2025)