Lennart Schäpermeier

According to our database, Lennart Schäpermeier authored at least 21 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Do LLMs Use Cultural Knowledge Without Being Told? A Multilingual Evaluation of Implicit Pragmatic Adaptation.

Mehwish Nasim, Sanjeevan Selvaganapathy, Neel Ganapathi Sabhahit, Marie Griesbach, Pranav Bhandari, Janina Lütke Stockdiek, Lennart Schäpermeier, Usman Naseem, Christian Grimme

CoRR, April, 2026

BONO-Bench: A Comprehensive Test Suite for Bi-objective Numerical Optimization with Traceable Pareto Sets.

Lennart Schäpermeier, Pascal Kerschke

CoRR, January, 2026

Benchmarking that Matters: Rethinking Benchmarking in Continuous Optimisation for Practical Impact.

Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie

Proceedings of the Applications of Evolutionary Computation - 29th European Conference, 2026

2025

Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network.

Theresa Eimer, Lennart Schäpermeier, André Biedenkapp, Alexander Tornede, Lars Kotthoff, Pieter Leyman, Matthias Feurer, Katharina Eggensperger, Kaitlin Maile, Tanja Tornede, Anna Kozak, Ke Xue, Marcel Wever, Mitra Baratchi, Damir Pulatov, Heike Trautmann, Haniye Kashgarani, Marius Lindauer

CoRR, December, 2025

Benchmarking that Matters: Rethinking Benchmarking for Practical Impact.

Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie

CoRR, November, 2025

Finding ϵ-Locally Optimal Solutions for Multiobjective Multimodal Optimization.

Angel E. Rodriguez-Fernandez, Lennart Schäpermeier, Carlos Hernández, Pascal Kerschke, Heike Trautmann, Oliver Schütze

IEEE Trans. Evol. Comput., October, 2025

Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems.

Lennart Schäpermeier

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

Hot off the Press: Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.

Angel E. Rodriguez-Fernandez, Lennart Schäpermeier, Carlos Ignacio Hernández Castellanos, Pascal Kerschke, Heike Trautmann, Oliver Schütze

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

2024

Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration.

Lennart Schäpermeier, Pascal Kerschke

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

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

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

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., June, 2023

Challenges in Benchmarking Optimization Heuristics (Dagstuhl Seminar 23251).

Anne Auger, Peter A. N. Bosman, Pascal Kerschke, Darrell Whitley, Lennart Schäpermeier

Dagstuhl Reports, 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

Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.

Lennart Schäpermeier, Pascal Kerschke, Christian Grimme, Heike Trautmann

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022

Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems.

Lennart Schäpermeier, Christian Grimme, Pascal Kerschke

IEEE Trans. Evol. Comput., 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

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

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems.

Jonathan Heins, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek, Heike Trautmann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

MOLE: digging tunnels through multimodal multi-objective landscapes.

Lennart Schäpermeier, Christian Grimme, Pascal Kerschke

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes.

Lennart Schäpermeier, Christian Grimme, Pascal Kerschke

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020

One PLOT to Show Them All: Visualization of Efficient Sets in Multi-objective Landscapes.

Lennart Schäpermeier, Christian Grimme, Pascal Kerschke

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020