Dataset Open Access

TROTS - The Radiotherapy Optimisation Test Set

Breedveld, Sebastiaan; Heijmen, Ben

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Breedveld, Sebastiaan</dc:creator>
  <dc:creator>Heijmen, Ben</dc:creator>
  <dc:description>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.


The set as present in this version is of date 13 May 2019. Updated versions of the Scripts and other extensions can be found at the following pages:


Persistent page with links: Erasmus University Rotterdam Library

Mirror project page: TROTS Mirror

Main publication: S. Breedveld &amp; B. Heijmen, Data for TROTS - The Radiotherapy Optimisation Test Set, Data in Brief 12 (2017) 143-149 </dc:description>
  <dc:subject>Nonlinear optimisation</dc:subject>
  <dc:subject>Multiple objective programming</dc:subject>
  <dc:subject>OR in health services</dc:subject>
  <dc:subject>Large-Scale Optimisation</dc:subject>
  <dc:title>TROTS - The Radiotherapy Optimisation Test Set</dc:title>
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