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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…
math.OC2025
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.OC2025
Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems
Lennart Schäpermeier
In many optimization domains, there are multiple different solvers that contribute to the overall state-of-the-art, each performing better on some, and worse on other types of prob…