Results File
Dataset
File Header
Author(s): Klein, R. and Scholl, A.
Reference:Klein, R., & Scholl, A. (1999). Computing lower bounds by destructive improvement: An application to resource-constrained project scheduling. European Journal of Operational Research, 112(2), 322346. https://doi.org/10.1016/S0377-2217(97)00442-6
Date: 1999/01/01
Hardware / software: i7, 16GB, 2GHz, C++, Visual Studio 2015 (x64), Windows 10
Stop criteria:none
Submission date: 2016/01/01
Statistics
Nothing changed since there are no new lower bounds, upper bounds nor optimal solutions.
Instances: 1800
Lower Bounds: 1800
- Average deviations:
- over CPM: 30.39%
- below best LB: 4.78%
- below best UB: 4.78%
- Best Known: 861 (47.83%)
- Closed (using best UBs): 861 (47.83%)
- Sum of time units: 172128
- Open time units:
- to LBs: 6293 (3.53%)
- to UBs: 6299 (3.53%)
Instances: 1800
Lower Bounds: 1800
- Average deviations:
- over CPM: 30.39%
- below best LB: 4.78%
- below best UB: 4.78%
- Best Known: 861 (47.83%)
- Closed (using best UBs): 861 (47.83%)
- Sum of time units: 172128
- Open time units:
- to LBs: 6293 (3.53%)
- to UBs: 6299 (3.53%)
Date