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), 322-346. 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: 600
Lower Bounds: 600
- Average deviations:
- over CPM: 22.36%
- below best LB: 2.49%
- below best UB: 4.15%
- Best Known: 236 (39.33%)
- Closed (using best UBs): 213 (35.50%)
- Sum of time units: 69414
- Open time units:
- to LBs: 2057 (2.88%)
- to UBs: 3761 (5.14%)
Instances: 600
Lower Bounds: 600
- Average deviations:
- over CPM: 22.36%
- below best LB: 2.49%
- below best UB: 4.15%
- Best Known: 236 (39.33%)
- Closed (using best UBs): 213 (35.50%)
- Sum of time units: 69414
- Open time units:
- to LBs: 2057 (2.88%)
- to UBs: 3761 (5.14%)
Date