no code implementations • 3 Apr 2023 • F. O. de Franca, M. Virgolin, M. Kommenda, M. S. Majumder, M. Cranmer, G. Espada, L. Ingelse, A. Fonseca, M. Landajuela, B. Petersen, R. Glatt, N. Mundhenk, C. S. Lee, J. D. Hochhalter, D. L. Randall, P. Kamienny, H. Zhang, G. Dick, A. Simon, B. Burlacu, Jaan Kasak, Meera Machado, Casper Wilstrup, W. G. La Cava
Symbolic regression searches for analytic expressions that accurately describe studied phenomena.
2 code implementations • 20 Apr 2020 • T. Den Ottelander, A. Dushatskiy, M. Virgolin, P. A. N. Bosman
The proposed LS algorithm is compared with RS and two evolutionary algorithms (EAs), as these are often heralded as being ideal for multi-objective optimization.
no code implementations • 17 Feb 2020 • M. Virgolin, Z. Wang, B. V. Balgobind, I. W. E. M. van Dijk, J. Wiersma, P. S. Kroon, G. O. Janssens, M. van Herk, D. C. Hodgson, L. Zadravec Zaletel, C. R. N. Rasch, A. Bel, P. A. N. Bosman, T. Alderliesten
Each artificial plan was automatically emulated on the 142 CTs, resulting in 42, 600 3D dose distributions from which dose-volume metrics were derived.