Elsevier

Data in Brief

Volume 12, June 2017, Pages 143-149
Data in Brief

Data Article
Data for TROTS – The Radiotherapy Optimisation Test Set

https://doi.org/10.1016/j.dib.2017.03.037Get rights and content
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Abstract

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.

MSC

90C06
90C26
90C29
90C30

Keywords

Radiotherapy
Nonlinear optimisation
Multiple objective programming
OR in health services
Large-Scale Optimisation

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