Environmental Engineering Reference
In-Depth Information
Table 2 Results of the experiments solved for the case study in the city of Seville
N8 Stop
RZ
TW
Exp. 1
Exp. 2
A
2
2
B
6
6
TM
0.1
0.5
Fitness
Hours
Vehicles
Fitness
Hours
Vehicles
P1 40 0 0 964.06 60.78 7
P2 40 2 2 858.60 54.13 6 878.21 55.37 7
P3 40 2 4 919.79 57.99 7 927.35 58.47 7
P4 40 2 6 957.15 60.35 7 972.87 61.34 7
P5 40 5 2 1136.34 71.64 8 1137.70 71.73 8
P6 40 5 4 1042.66 65.74 7 1034.77 65.24 7
P7 40 5 6 1113.20 70.19 8 1109.03 69.92 8
P8 40 9 2 1240.00 78.18 9 1244.59 78.47 9
P9 40 9 4 1142.52 72.03 8 1141.02 71.94 8
P10 40 9 6 1114.21 70.25 8 1107.29 69.81 8
P11 100 0 0 1148.96 72.44 8 1148.58 72.42 8
P12 100 2 2 1194.10 75.29 9 1057.12 66.65 8
P13 100 2 4 1043.97 65.82 8 1040.43 65.60 8
P14 100 2 6 1120.56 70.65 8 1075.73 67.82 9
P15 100 5 2 1109.25 69.94 9 1141.66 71.98 10
P16 100 5 4 1190.84 75.08 12 1188.22 74.91 12
P17 100 5 6 2249.41 141.82 25 2017.52 127.20 24
P18 100 9 2 1497.19 94.39 11 1479.29 93.27 11
P19 100 9 4 2329.89 146.90 18 2358.94 148.73 18
P20 100 9 6 4196.02 264.55 30 4488.67 283.00 33
P21 150 0 0 1815.24 114.45 13 1787.68 112.71 13
P22 150 2 2 1745.11 110.03 13 1626.33 102.54 12
P23 150 2 4 1751.48 110.43 14 1702.51 107.34 13
P24 150 2 6 1825.09 115.07 15 1863.49 117.49 15
P25 150 5 2 1824.10 115.01 15 1767.30 111.42 14
P26 150 5 4 1955.58 123.30 18 1953.94 123.19 18
P27 150 5 6 3101.77 195.56 34 3081.31 194.27 33
P28 150 9 2 2013.62 126.95 17 1974.27 124.47 17
P29 150 9 4 2708.25 170.75 25 2828.70 178.34 25
P30 150 9 6 5947.08 374.95 46 6170.43 389.03 45
Bold values correspond to the best known solution for each instance (either Exp. 1 or Exp. 2)
• The influence of the RZ and TW parameters are larger when the number of
customers is larger, despite the possibility of having more options to configure
near-optimal routes, entering and leaving the restricted zone, when the number
of customers increases.
• The scenarios with RZ = 9 show a large increase in the number of vehicles
required in the fleet, which represents overall cost increments of up to 400 %.
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