| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Capacitated Vehicle Routing Problem | CVRPLib Set X | Average Optimality Gap0.8 | 111 | |
| Capacitated Vehicle Routing Problem | CVRPLib Set-XXL (1000, 10000) | Optimality Gap (%)8.12 | 13 | |
| Capacitated Vehicle Routing Problem | CVRPLIB Generalization (100<=n<=200) | Optimality Gap1.26 | 10 | |
| Capacitated Vehicle Routing Problem | CVRPLib (test) | Gap (A)2.5 | 5 | |
| Capacitated Vehicle Routing Problem | CVRPLib Set-X (500, 1000) | Gap (%)6.8 | 5 | |
| Capacitated Vehicle Routing Problem | CVRPLIB Generalization (10 runs) | Average Gap4.8 | 5 | |
| Capacitated Vehicle Routing Problem | CVRPLIB up to 200 customers (test) | Relative Gap (%)2.97 | 5 | |
| Capacitated Vehicle Routing Problem | CVRPLib | Cost (A)16.85 | 4 | |
| Capacitated Vehicle Routing Problem | CVRPLib Set P | Average Optimality Gap8.1 | 4 | |
| Capacitated Vehicle Routing Problem | CVRPLib Set M | Average Optimality Gap (%)15.1 | 4 | |
| Capacitated Vehicle Routing Problem | CVRPLib Set F | Average Optimality Gap15.9 | 4 | |
| Capacitated Vehicle Routing Problem | CVRPLib Set E | Average Optimality Gap7.9 | 4 | |
| Capacitated Vehicle Routing Problem | CVRPLib Set B | Average Optimality Gap8.7 | 4 | |
| Capacitated Vehicle Routing Problem | CVRPLib Set A | Average Optimality Gap7.9 | 4 | |
| Capacitated Vehicle Routing Problem | CVRPLib generalization | Gap % (A, 32-80)1.18 | 4 | |
| Capacitated Vehicle Routing Problem | CVRPLib | Gap (100-200 Nodes)1.93 | 3 | |
| Capacitated Vehicle Routing Problem | CVRPLib XXL A1(6k) | Optimality Gap8.6 | 3 | |
| Capacitated Vehicle Routing Problem | CVRPLib XXL B2(16k) | Optimality Gap16.56 | 2 | |
| Capacitated Vehicle Routing Problem | CVRPLib XXL B1(15k) | Optimality Gap7.01 | 2 | |
| Capacitated Vehicle Routing Problem | CVRPLib XXL G2 11k | Optimality Gap14.85 | 2 | |
| Capacitated Vehicle Routing Problem | CVRPLib XXL G1 10k | Optimality Gap (%)8.02 | 2 |