MC-FLP on P&R-NYC Dataset (test)
53.9H (Avg Choice Prob, Bottom 5%)Clustering Approach
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Clustering ApproachNumber of facilities (m)=14, Regularization parameter (xi)=1E42022.05 | 53.9 | 76.9 | |
| Clustering ApproachNumber of facilities (m)=14, Regularization parameter (xi)=1E32022.05 | 53.3 | 77.7 | |
| Clustering ApproachNumber of facilities (m)=12, Regularization parameter (xi)=1E42022.05 | 53.1 | 76.7 | |
| ERMNumber of facilities (m)=142022.05 | 46.9 | 77.2 | |
| Clustering ApproachNumber of facilities (m)=14, Regularization parameter (xi)=1E22022.05 | 46.9 | 77.2 | |
| ERMNumber of facilities (m)=122022.05 | 42.6 | 76.9 | |
| Clustering ApproachNumber of facilities (m)=12, Regularization parameter (xi)=1E22022.05 | 42.6 | 76.9 | |
| Clustering ApproachNumber of facilities (m)=12, Regularization parameter (xi)=1E32022.05 | 42.5 | 76.8 | |
| Clustering ApproachNumber of facilities (m)=10, Regularization parameter (xi)=1E22022.05 | 41.8 | 76.3 | |
| Clustering ApproachNumber of facilities (m)=10, Regularization parameter (xi)=1E32022.05 | 41.8 | 76.3 | |
| Clustering ApproachNumber of facilities (m)=10, Regularization parameter (xi)=1E42022.05 | 41.7 | 75.9 | |
| ERMNumber of facilities (m)=102022.05 | 17.5 | 74.1 |