| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| VRP 100 Customers (100 instances) | HGS-PYVRP | Objective Value15.5 | 28 | 4d ago | |
| OCVRP 48 standard 100-node benchmark instances | HGS-PyVRP | Objective Value9.72 | 18 | 4d ago | |
| VRP 500 Customers (100 instances) | HGS-PYVRP | Objective Value36.84 | 16 | 4d ago | |
| OCVRP n=100 | HGS-PyVRP | Objective Value9.72 | 12 | 4d ago | |
| CVRP 48 standard 100-node benchmark instances | HGS-PyVRP | Objective Value15.62 | 12 | 4d ago | |
| VRPB n=50 | POMO | Computation Time (min)0.085 | 12 | 4d ago | |
| OVRP n=100 | MTPOMO | Time (m)7 | 12 | 4d ago | |
| CVRP n=50 | RF-POMO | Computation Time (m)0.03 | 12 | 4d ago | |
| Vehicle Routing Problem | SGE | Cost Improvement % vs IO71.92 | 8 | 4d ago | |
| OCVRPBLTW n=100 | HGS-PyVRP | Obj Value19.16 | 6 | 4d ago | |
| OCVRPBLTW n=50 | HGS-PyVRP | Objective Value11.67 | 6 | 4d ago | |
| OCVRPBTW n=100 | HGS-PyVRP | Objective Value19.16 | 6 | 4d ago | |
| OCVRPBTW n=50 | HGS-PyVRP | Objective Value11.67 | 6 | 4d ago | |
| OCVRPBL n=100 | HGS-PyVRP | Objective Value10.34 | 6 | 4d ago | |
| OCVRPBL n=50 | HGS-PyVRP | Objective Value6.9 | 6 | 4d ago | |
| CVRPBLTW n=100 | HGS-PyVRP | Objective Value29.03 | 6 | 4d ago | |
| CVRPBLTW n=50 | HGS-PyVRP | Objective Value18.36 | 6 | 4d ago | |
| OCVRPB n=100 | HGS-PyVRP | Objective Value10.34 | 6 | 4d ago | |
| OCVRPB n=50 | HGS-PyVRP | Objective Value6.9 | 6 | 4d ago | |
| CVRPBTW n=100 | HGS-PyVRP | Objective Value29.47 | 6 | 4d ago | |
| CVRPBTW n=50 | HGS-PyVRP | Obj Value18.29 | 6 | 4d ago | |
| CVRPBL n=100 | HGS-PyVRP | Objective Value14.78 | 6 | 4d ago | |
| CVRPBL n=50 | HGS-PyVRP | Objective Value10.19 | 6 | 4d ago | |
| CVRPB n=100 | HGS-PyVRP | Objective Value14.38 | 6 | 4d ago | |
| CVRPB n=50 | HGS-PyVRP | Objective Value9.69 | 6 | 4d ago |
