![](/binaries/content/gallery/ul2/portraits/science/l/photo_long.jpg/photo_long.jpg/d200x250)
Fu Long
PhD Candidate / Self Funded
- Name
- F.X. Long
- Telephone
- +31 71 527 4799
- f.x.long@liacs.leidenuniv.nl
- ORCID iD
- 0000-0003-4550-5777
Fu Xing Long is an external PhD student in the Natural Computing Group of LIACS based in BMW in Munich, Germany, starting from May 2021. Fu Xing's research interests are in automotive crashworthiness optimization, efficient global optimization and hyperparameter optimization.
PhD Candidate / Self Funded
- Science
- Leiden Inst of Advanced Computer Science
- Long F.X., Vermetten D, Kononova A.V., Kalkreuth R, Yang K., Bäck T.H.W. & Stein N. van (2023), Challenges of ELA-guided function evolution using genetic programming. Stein N. van, Marcelloni F., Lam H.K., Cottrell M. & Filipe J. (Eds.), Proceedings of the 15th international joint conference on computational intelligence ECTA. 15th International Joint Conference on Computational Intelligence - ECTA 13 November 2023 - 15 November 2023 no. 1. Portugal: SciTePress. 119-130.
- Long F.X., Stein B. van, Frenzel M., Krause P., Gitterle M. & Bäck T.H.W. (2022), Learning the characteristics of engineering optimization problems with applications in automotive crash. Fieldsend J.E. (Ed.), GECCO '22: Proceedings of the genetic and evolutionary computation conference. GECCO '22: Genetic and Evolutionary Computation Conference 9 July 2022 - 13 July 2022: ACM. 1227-1236.