Learning the characteristics of engineering optimization problems with applications in automotive crash. - Fu Xing Long; Bas van Stein; Moritz Frenzel; Peter Krause 001; Markus Gitterle; Thomas Bäck (GECCO, 2022)

DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis. - Bas van Stein; Fu Xing Long; Moritz Frenzel; Peter Krause 001; Markus Gitterle; Thomas Bäck (GECCO Companion, 2023)

Landscape-Aware Automated Algorithm Configuration Using Multi-output Mixed Regression and Classification. - Fu Xing Long; Moritz Frenzel; Peter Krause 001; Markus Gitterle; Thomas Bäck; Niki van Stein (PPSN (2), 2024)

Generating Cheap Representative Functions for Expensive Automotive Crashworthiness Optimization. - Fu Xing Long; Bas van Stein; Moritz Frenzel; Peter Krause 001; Markus Gitterle; Thomas Bäck (ACM Trans. Evol. Learn. Optim., 2024)