| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| TSPLIB (test) | TuneNSearch | Tour Length2,632 | 115 | 4d ago | |
| TSP-500 (test) | Gap0 | 85 | 4d ago | ||
| TSP50 | NeuOpt | Optimality Gap0 | 58 | 4d ago | |
| TSP-100 | Optimality Drop0 | 53 | 4d ago | ||
| TSP procedurally transformed instances Mu 0-9 (test) | Objective Value6.732 | 50 | 4d ago | ||
| TSP-1000 (test) | Optimality Gap0 | 36 | 4d ago | ||
| TSP-500 | Solution Length16.55 | 32 | 4d ago | ||
| TSP 1K (test) | Length23.12 | 30 | 4d ago | ||
| TSP-200 | Optimality Gap0 | 28 | 4d ago | ||
| TSP procedurally transformed instances Mu-transformed (test) | Objective Value6.732 | 26 | 4d ago | ||
| Euclidean TSP N=50 | Optimal Tour Length5.69 | 26 | 4d ago | ||
| TSP N=200 | Cost Gap0 | 24 | 4d ago | ||
| TSP 10K (test) | Solution Length71.78 | 22 | 4d ago | ||
| TSP | RoCo | Objective Value5.766 | 21 | 4d ago | |
| TSP 10,000 randomly generated instances (test) | HGS-PyVRP | Cost5.692 | 20 | 4d ago | |
| TSP 1000 | Objective Value23.12 | 20 | 4d ago | ||
| TSP N=100 | NeuOpt | Cost (%)0 | 20 | 4d ago | |
| TSP N=50 (test) | Optimality Gap0 | 19 | 4d ago | ||
| TSP-10000 (test) | Solution Length71.77 | 17 | 4d ago | ||
| TSP N=50 10,000 instances (test) | POMO | Objective Value5.69 | 16 | 4d ago | |
| TSP N=20 10,000 instances (test) | Objective Value3.83 | 16 | 4d ago | ||
| TSP-50 | Gap0 | 15 | 4d ago | ||
| TSP n=125 (1k instances) | Objective Value8.583 | 15 | 4d ago | ||
| TSP N=20 | Optimality Gap0 | 15 | 4d ago | ||
| Euclidean TSP n=500 Uniform distribution in unit square (test) | Tour Length16.47 | 14 | 4d ago |
