On the potential of normalized TSP features for automated algorithm selection. - Jonathan Heins; Jakob Bossek; Janina Pohl; Moritz Seiler; Heike Trautmann; Pascal Kerschke (FOGA, 2021)

BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. - Jonathan Heins; Jeroen Rook; Lennart Schäpermeier; Pascal Kerschke; Jakob Bossek; Heike Trautmann (PPSN (1), 2022)

Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. - Moritz Vinzent Seiler; Jeroen Rook; Jonathan Heins; Oliver Ludger Preuß; Jakob Bossek; Heike Trautmann (SSCI, 2023)

A study on the effects of normalized TSP features for automated algorithm selection. - Jonathan Heins; Jakob Bossek; Janina Pohl; Moritz Seiler; Heike Trautmann; Pascal Kerschke (Theor. Comput. Sci., 2023)

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 (PPSN (1), 2024)

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 (GECCO, 2025)