Research Article
Data-Driven Robust Optimization for Solving the Heterogeneous Vehicle Routing Problem with Customer Demand Uncertainty
Table 2
Uncertain customer demand related values.
| Point | | | | | α |
| 12.4 | 17 | 12 | 35 | 20.5 | 1.208333 | 12.5 | 20 | 15 | 40 | 25 | 1 | 12.8 | 22 | 18 | 60 | 29 | 1.722222 | 12.10 | 19 | 14 | 40 | 23.5 | 1.178571 | 20.1 | 17 | 10 | 40 | 18.5 | 2.15 | 20.4 | 10 | 7 | 40 | 12 | 4 | 20.6 | 17 | 13 | 40 | 21.5 | 1.423077 | 20.11 | 22 | 17 | 60 | 28 | 1.882353 | 20.14 | 25 | 20 | 60 | 32.5 | 1.375 | 20.15 | 12 | 8 | 40 | 14 | 3.25 | 30.1 | 28 | 24 | 100 | 38 | 2.583333 | 30.2 | 40 | 31 | 100 | 51 | 1.580645 | 30.3 | 13 | 10 | 50 | 16.5 | 3.35 | 30.8 | 34 | 24 | 100 | 41 | 2.458333 | 30.12 | 29 | 23 | 100 | 37.5 | 2.717391 | 30.16 | 12 | 9 | 50 | 15 | 3.888889 | 30.24 | 11 | 8 | 50 | 13.5 | 4.5625 | 30.27 | 46 | 35 | 140 | 58 | 2.342857 | 30.29 | 106 | 79 | 200 | 132 | 0.860759 | 50.1 | 22 | 17 | 70 | 28 | 2.470588 | 50.2 | 30 | 22 | 70 | 37 | 1.5 | 50.7 | 17 | 14 | 40 | 22.5 | 1.25 | 50.11 | 41 | 36 | 120 | 56.5 | 1.763889 | 50.16 | 22 | 17 | 70 | 28 | 2.470588 | 50.17 | 23 | 19 | 70 | 30.5 | 2.078947 | 50.20 | 26 | 21 | 70 | 34 | 1.714286 | 50.26 | 20 | 16 | 70 | 26 | 2.75 | 50.29 | 15 | 12 | 70 | 19.5 | 4.208333 | 50.33 | 31 | 25 | 70 | 40.5 | 1.18 | 50.35 | 12 | 9 | 40 | 15 | 2.777778 | 50.38 | 29 | 22 | 70 | 36.5 | 1.522727 | 50.43 | 21 | 16 | 70 | 26.5 | 2.71875 | 50.44 | 20 | 16 | 70 | 26 | 2.75 | 50.45 | 25 | 19 | 70 | 31.5 | 2.026316 | 75.12 | 19 | 15 | 100 | 24.5 | 5.033333 | 75.14 | 37 | 27 | 120 | 45.5 | 2.759259 | 75.17 | 24 | 18 | 100 | 30 | 3.888889 | 75.20 | 26 | 20 | 100 | 33 | 3.35 | 75.22 | 14 | 11 | 50 | 18 | 2.909091 | 75.24 | 32 | 25 | 120 | 41 | 3.16 | 75.25 | 16 | 12 | 50 | 20 | 2.5 | 75.27 | 20 | 15 | 100 | 25 | 5 | 75.29 | 15 | 12 | 50 | 19.5 | 2.541667 | 75.30 | 25 | 19 | 100 | 31.5 | 3.605263 | 75.33 | 32 | 25 | 120 | 41 | 3.16 | 75.34 | 22 | 17 | 100 | 28 | 4.235294 | 75.40 | 39 | 30 | 120 | 49.5 | 2.35 | 75.43 | 21 | 16 | 100 | 26.5 | 4.59375 | 75.52 | 22 | 16 | 100 | 27 | 4.5625 | 75.54 | 19 | 15 | 100 | 24.5 | 5.033333 | 75.58 | 24 | 20 | 120 | 32 | 4.4 | 75.59 | 28 | 21 | 120 | 35 | 4.047619 | 75.64 | 32 | 26 | 120 | 42 | 3 | 75.66 | 43 | 33 | 150 | 54.5 | 2.893939 | 75.68 | 12 | 9 | 50 | 15 | 3.888889 | 75.72 | 4 | 3 | 50 | 5 | 15 | 75.74 | 12 | 9 | 50 | 15 | 3.888889 | 100.8 | 10 | 8 | 60 | 13 | 5.875 | 100.9 | 19 | 15 | 100 | 24.5 | 5.033333 | 100.10 | 19 | 15 | 100 | 24.5 | 5.033333 | 100.17 | 8 | 5 | 60 | 9 | 10.2 | 100.18 | 14 | 10 | 100 | 17 | 8.3 | 100.21 | 12 | 10 | 100 | 16 | 8.4 | 100.22 | 22 | 16 | 100 | 27 | 4.5625 | 100.24 | 14 | 8 | 60 | 15 | 5.625 | 100.27 | 18 | 14 | 100 | 23 | 5.5 | 100.29 | 10 | 8 | 60 | 13 | 5.875 | 100.37 | 10 | 7 | 60 | 12 | 6.857143 | 100.38 | 19 | 14 | 100 | 23.5 | 5.464286 | 100.45 | 19 | 15 | 100 | 24.5 | 5.033333 | 100.46 | 4 | 3 | 60 | 5 | 18.33333 | 100.53 | 17 | 12 | 100 | 20.5 | 6.625 | 100.54 | 22 | 17 | 100 | 28 | 4.235294 | 100.55 | 9 | 5 | 60 | 9.5 | 10.1 | 100.58 | 21 | 16 | 100 | 26.5 | 4.59375 | 100.61 | 15 | 12 | 100 | 19.5 | 6.708333 | 100.62 | 22 | 16 | 100 | 27 | 4.5625 | 100.66 | 29 | 22 | 100 | 36.5 | 2.886364 | 100.74 | 9 | 7 | 60 | 11.5 | 6.928571 | 100.77 | 17 | 12 | 100 | 20.5 | 6.625 | 100.78 | 14 | 8 | 60 | 15 | 5.625 | 100.84 | 16 | 11 | 100 | 19 | 7.363636 | 100.89 | 17 | 13 | 100 | 21.5 | 6.038462 | 100.92 | 9 | 6 | 60 | 10.5 | 8.25 | 100.93 | 26 | 19 | 100 | 32 | 3.578947 | 100.96 | 13 | 10 | 100 | 16.5 | 8.35 | 100.99 | 10 | 8 | 60 | 13 | 5.875 |
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