Author:
Geethani V.,Velayutham C. Shunmuga,Balraj Aditya
Publisher
Springer Nature Singapore
Reference20 articles.
1. Orzechowski P, Cava WL, Moore JH (2018) Where are we now? A large benchmark study of recent symbolic regression methods. In: Proceedings of the genetic and evolutionary computation conference, pp 1183–1190
2. Cava L, William PO, Burlacu B, França FOD, Virgolin M, Jin Y, Kommenda M, Moore JH (2021) Contemporary symbolic regression methods and their relative performance. arXiv:2107.14351
3. Stijven S, Vladislavleva E, Kordon A, Willem L, Kotanchek ME (2016) Prime-time: Symbolic regression takes its place in the real world. Genet Program Theory Pract XIII 241–260
4. Aldeia GSI, de Franca FO (2022) Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set. Genet Programm Evolvable Mach 23(3):309–349
5. Keijzer M (2003) Improving symbolic regression with interval arithmetic and linear scaling. In: Ryan C, Soule T, Keijzer M, Tsang E, Poli R, Costa E (eds) Genetic programming. EuroGP 2003. Lecture notes in computer science, vol 2610. Springer, Berlin, pp 70–82