@inproceedings{10.1007/978-3-319-09584-4_30,
    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. © 2014 Springer International Publishing.",
    year = "2014",
    title = "GeneRa: A benchmarks generator of radiotherapy treatment scheduling problem",
    volume = "8426 LNCS",
    pages = "353-361",
    doi = "10.1007/978-3-319-09584-4\_30",
    booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)"
}

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