Data for TROTS – The Radiotherapy Optimisation Test Set
The Radiotherapy Optimisation Test Set (TROTS) is an extensive set of problems originating from radiotherapy (radiation therapy) treatment planning. This dataset is created for 2 purposes: (1) to supply a large-scale dense dataset to measure performance and quality of mathematical solvers, and (2) to supply a dataset to investigate the multi-criteria optimisation and decision-making nature of the radiotherapy problem. The dataset contains 120 problems (patients), divided over 6 different treatment protocols/tumour types. Each problem contains numerical data, a configuration for the optimisation problem, and data required to visualise and interpret the results. The data is stored as HDF5 compatible Matlab files, and includes scripts to work with the dataset.
|Keywords||Large-Scale Optimisation, Multiple objective programming, Nonlinear optimisation, OR in health services, Radiotherapy|
|Persistent URL||dx.doi.org/10.1016/j.dib.2017.03.037, hdl.handle.net/1765/99182|
|Journal||Data in Brief|
Breedveld, S, & Heijmen, B.J.M. (2017). Data for TROTS – The Radiotherapy Optimisation Test Set. Data in Brief, 12, 143–149. doi:10.1016/j.dib.2017.03.037