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)

BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances. - Fu Xing Long; Diederick Vermetten; Bas van Stein; Anna V. Kononova (EvoApplications@EvoStar, 2023)

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)

Challenges of ELA-Guided Function Evolution Using Genetic Programming. - Fu Xing Long; Diederick Vermetten; Anna V. Kononova; Roman Kalkreuth; Kaifeng Yang; Thomas Bäck; Niki van Stein (IJCCI, 2023)

Challenges of ELA-based Function Evolution using Genetic Programming - Reproducability files. - Fu Xing Long; Diederick Vermetten; Anna V. Kononova; Roman Kalkreuth; Kaifeng Yang; Thomas Bäck; Niki van Stein (Zenodo, 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)