Surgery scheduling benchmark set
Here you can find the surgery scheduling benchmark set proposed in Leeftink and Hans (2016) based on a deterministic proximity evaluation. The stochastic variant will follow soon.
The benchmark set consists of diverse instances, both based on theoretical and real-life data. Furthermore, proximity statistics are included for all instances of each parameter combination.
For each instance in the benchmark set, 200 samples are available with the authors. For more information, please contact Erwin Hans (email@example.com).
Leeftink AG and Hans EW (2016). Development of a benchmark set and instance classification system for surgery scheduling. Submitted.