Results File
Dataset
File Header
Author(s): Klein, R. and Scholl, A.
Reference:Klein, R. and Scholl, A. (1999). Computing lower bounds by destructive improvement: An application to resource-constrained project scheduling. European Journal of Operational Research, 112:322?346
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: 1.84%
- below best UB: 4.19%
- Best Known: 258 (43.00%)
- Closed (using best UBs): 213 (35.50%)
- Sum of time units: 69414
- Open time units:
- to LBs: 1477 (2.08%)
- to UBs: 3811 (5.20%)
Instances: 600
Lower Bounds: 600
- Average deviations:
- over CPM: 22.36%
- below best LB: 1.84%
- below best UB: 4.19%
- Best Known: 258 (43.00%)
- Closed (using best UBs): 213 (35.50%)
- Sum of time units: 69414
- Open time units:
- to LBs: 1477 (2.08%)
- to UBs: 3811 (5.20%)
Date