Table 6 Results of the iterative algorithms

From: Solving two-stage stochastic route-planning problem in milliseconds via end-to-end deep learning

n Average RPD (%) Time (ms)
aNEH IG_RG IG_NF MSDN aNEH IG_RG IG_NF MSDN
2 0.10 0.10 0.10 0.08 55.03 62.13 55.03 8.06
3 0.42 6.35 1.46 0.19 161.12 162.95 161.12 11.02
4 0.94 16.94 5.01 1.73 445.49 424.43 445.49 13.43
5 1.14 25.93 7.34 1.57 851.02 924.69 851.02 16.04
6 1.95 44.58 14.28 1.40 1218.38 1472.89 1218.38 17.82
7 1.37 50.22 18.62 1.28 1289.88 1301.94 1289.88 17.82
8 1.91 63.47 18.57 2.08 1148.83 1138.54 1148.83 16.26
Average 0.90 21.66 6.64 1.05 572.21 603.76 572.21 13.33
  1. The best results are in bold