@articlePrager_Trautmann_2024, title=Exploratory Landscape Analysis for Mixed-Variable Problems, DOI=10.1109/TEVC.2024.3399560, journal=IEEE Transactions on Evolutionary Computation, author=Prager, Raphael Patrick and Trautmann, Heike, year=2024, pages=1–1 
LibreCat: /record/54548
DOI: 10.1109/TEVC.2024.3399560

@inbookHeins_Bossek_Pohl_Seiler_Trautmann_Kerschke_2021, place=New York, NY, USA, title=On the Potential of Normalized TSP Features for Automated Algorithm Selection, booktitle=Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, publisher=Association for Computing Machinery, author=Heins, Jonathan and Bossek, Jakob and Pohl, Janina and Seiler, Moritz and Trautmann, Heike and Kerschke, Pascal, year=2021, pages=1–15 
LibreCat: /record/48881

@inproceedingsSeiler_Pohl_Bossek_Kerschke_Trautmann_2020, place=Berlin, Heidelberg, title=Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem, DOI=10.1007/978-3-030-58112-1_4, booktitle=Parallel Problem Solving from Nature (PPSN XVI), publisher=Springer-Verlag, author=Seiler, Moritz and Pohl, Janina and Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike, year=2020, pages=48–64 
LibreCat: /record/48897
DOI: 10.1007/978-3-030-58112-1_4

@articleKerschke_Kotthoff_Bossek_Hoos_Trautmann_2018, title=Leveraging TSP Solver Complementarity through Machine Learning, volume=26, DOI=10.1162/evco_a_00215, number=4, journal=Evolutionary Computation, author=Kerschke, Pascal and Kotthoff, Lars and Bossek, Jakob and Hoos, Holger H. and Trautmann, Heike, year=2018, pages=597–620 
LibreCat: /record/48884
DOI: 10.1162/evco_a_00215