Abstract
The radiotherapy scheduling problems are hard constrained problems which involve many resources like doctors, patients and machines. These problems have varying structures in different institutions even within the same country. Due to the lack of standard benchmarks, the algorithms proposed in the literature are very specific ones and they are neither easily comparable nor adaptable. In this paper we describe the radiotherapy scheduling problem in different countries in order to identify common components. Our goal is to provide exchangeable benchmarks for this problem. The benchmark generator is available online.
This work is supported by the Fondecyt Project 1120781. Maria Cristina Riff is partially supported by the Centro Científico Tecnológico de Valparaíso (CCTVal) N FB0821.
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Cares, J.P., Riff, MC., Neveu, B. (2014). GeneRa: A Benchmarks Generator of Radiotherapy Treatment Scheduling Problem. In: Pardalos, P., Resende, M., Vogiatzis, C., Walteros, J. (eds) Learning and Intelligent Optimization. LION 2014. Lecture Notes in Computer Science(), vol 8426. Springer, Cham. https://doi.org/10.1007/978-3-319-09584-4_30
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DOI: https://doi.org/10.1007/978-3-319-09584-4_30
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