activity
20202026
most citedOne PLOT to Show Them All: Visualization of Efficient Sets in Multi-Objective Landscapes

25 citations · 34 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026

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

Mehwish Nasim, Sanjeevan Selvaganapathy, Neel Ganapathi Sabhahit +6

Many benchmarks show that large language models can answer direct questions about culture. We study a different question: do they also change how they speak when culture is only im…

math.OC2026

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

Lennart Schäpermeier, Pascal Kerschke

The evaluation of heuristic optimizers on test problems, better known as \emph{benchmarking}, is a cornerstone of research in multi-objective optimization. However, most test probl…

cs.AI2024

Dancing to the State of the Art? How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem

Jonathan Heins, Lennart Schäpermeier, Pascal Kerschke +1

Solving the Traveling Salesperson Problem (TSP) remains a persistent challenge, despite its fundamental role in numerous generalized applications in modern contexts. Heuristic solv…

math.OC2024

R2 v2: The Pareto-compliant R2 Indicator for Better Benchmarking in Bi-objective Optimization

Lennart Schäpermeier, Pascal Kerschke

In multi-objective optimization, set-based quality indicators are a cornerstone of benchmarking and performance assessment. They capture the quality of a set of trade-off solutions…

math.OC2022★ 9 cited

MOLE: Digging Tunnels Through Multimodal Multi-Objective Landscapes

Lennart Schäpermeier, Christian Grimme, Pascal Kerschke

Recent advances in the visualization of continuous multimodal multi-objective optimization (MMMOO) landscapes brought a new perspective to their search dynamics. Locally efficient…

cs.NE2020

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

Lennart Schäpermeier, Christian Grimme, Pascal Kerschke

Simultaneously visualizing the decision and objective space of continuous multi-objective optimization problems (MOPs) recently provided key contributions in understanding the stru…

cs.NE2020★ 25 cited

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

Lennart Schäpermeier, Christian Grimme, Pascal Kerschke

Visualization techniques for the decision space of continuous multi-objective optimization problems (MOPs) are rather scarce in research. For long, all techniques focused on global…