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Traveling Salesman Problem on TSP 10,000 randomly generated instances (test)

5.692CostHGS-PyVRP
0.2524836.9692473.686110.40276Mar 16, 2025May 8, 2025Jun 30, 2025Aug 22, 2025Oct 14, 2025Dec 6, 2025Jan 29, 2026

Evaluation results

MethodLinks
HGS-PyVRP2025.035.6920401.941
OR-Tools2025.035.6920400.036
TuneNSearchLocal Search=true, Data Augmentation=true2025.035.6930.0180.745
POMOData Augmentation=true2025.035.6970.0880.078
TuneNSearchLocal Search=true, Data Augmentation=false2025.035.6980.1050.662
LKH-3Type=Heuristic2026.015.701.3
GurobiType=Branch and Bound2026.015.7030
OR-Tools (1m)Type=Heuristic2026.015.702.6
OR-Tools (10m)Type=Heuristic2026.015.70—
POMOType=8×20 Sampling2026.015.70.062.7
Sym-NCOType=8×20 Sampling2026.015.70.041.4
EGAMType=8×20 Sampling2026.015.70.032.2
TuneNSearchLocal Search=false, Data Augmentation=true2025.035.70.1410.116
EGAMType=Greedy2026.015.720.496
GATv2Type=1280 Sampling2026.015.720.333.2
POMOType=Greedy2026.015.730.645
Sym-NCOType=Greedy2026.015.730.574
GAMType=1280 Sampling2026.015.730.525.4
GATv2Type=Greedy2026.015.771.333
GAMType=Greedy2026.015.81.764
Near-optimality2025.0971.78——
ViTSP2025.0972.280.710.2617
LKH-3Runs=more RUNs2025.0972.541.0610.75
SITSetting=PRC,10002025.0973.081.8117
DIFUSCOPost-processing=S + 2-opt2025.0973.892.9410.1667
INViT2025.0976.096.010.515
DeepACO2025.0979.7611.1210.085
FI2025.0980.5912.270.9217
AM(G)2025.09141.6897.380.2917