3 papers
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…
cs.NE2025
To Repair or Not to Repair? Investigating the Importance of AB-Cycles for the State-of-the-Art TSP Heuristic EAX
Jonathan Heins, Darrell Whitley, Pascal Kerschke
The Edge Assembly Crossover (EAX) algorithm is the state-of-the-art heuristic for solving the Traveling Salesperson Problem (TSP). It regularly outperforms other methods, such as t…