174 citations · 389 across the 26 of their papers we have counts for
4 papers · 1 filter
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…
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…
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization
Konstantin Dietrich, Diederick Vermetten, Carola Doerr +1
The recently proposed MA-BBOB function generator provides a way to create numerical black-box benchmark problems based on the well-established BBOB suite. Initial studies on this g…
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems
Moritz Vinzent Seiler, Pascal Kerschke, Heike Trautmann
In many recent works, the potential of Exploratory Landscape Analysis (ELA) features to numerically characterize, in particular, single-objective continuous optimization problems h…