Research Article

Data-Driven Robust Optimization for Solving the Heterogeneous Vehicle Routing Problem with Customer Demand Uncertainty

Table 4

HVRPUD test results.

InstanceTypenCostIncrease (%)Total
E1 (%)E2 (%)E3 (%)

G-1Certain1260243.3056.700
Robust1266410.29910000
G-2Certain1272234.3063.402.30
Robust1279810.52610000
G-3Certain20961.0335.9061.702.40
Robust201067.6411.09391.508.500
G-4Certain206437.3322.0067.902.00
Robust207470.4216.04899.001.000
G65Certain201007.0535.8061.702.40
Robust201089.548.19190.709.300
G-6Certain206516.4720.2070.09.80
Robust207563.9616.07492.907.100
G-7Certain3062917.4065.1027.50
Robust30724615.18085.8014.200
G-8Certain30200541.8056.501.70
Robust30233316.35999.200.800
G-9Certain30193732.2065.901.90
Robust3021149.13798.002.000
G-10Certain30204925.9068.505.60
Robust30233113.76299.900.100
G-11Certain3041092.5057.5040.00
Robust30472915.08899.900.100
G-12Certain30349314.3066.8018.90
Robust30401915.05865.3034.700
G-13Certain502406.367.5050.7041.80
Robust502726.6813.31186.2013.800
G-14Certain509119.039.5058.6031.90
Robust5010665.3516.95710000
G-15Certain502586.3700100
Robust503083.2319.21000100
G-16Certain502720.4300100
Robust503238.6619.04900100
G-17Certain1751734.5315.7065.3019.00
Certain2751753.1211.390
Robust751952.8112.58491.108.900