Research Article

A Bee Evolutionary Algorithm for Multiobjective Vehicle Routing Problem with Simultaneous Pickup and Delivery

Table 6

Comparisons of the optimization results of test example 2 with 22 customers.

AlgorithmsVehicle pathFuel consumption/kgWaiting time/minDistance/kmAverage computing time/min

T-NSGA-II0-1-4-7-11-19-13-2-6-22-0 0-18-14-21-5-9-20-0 0-15-3-16-12-8-10-17-0702.56109.37708.432.5
0-4-15-7-11-19-2-13-6-22-0 0-18-14-21-5-9-16-0 0-1-3-20-12-8-10-17-0654.17125.09676.71
0-4-15-7-11-19-2-13-6-22-0 0-18-14-21-5-9-16-0 0-1-20-3-12-8-10-17-0652.72141.55678.08
0-4-15-11-7-19-2-13-6-22-0 0-18-14-21-5-9-16-0 0-1-3-20-12-8-10-17-0650.68150.43680.65
0-4-15-11-19-1-13-2-6-22-0 0-18-14-21-5-9-20-0 0-3-7-16-12-8-10-17-0698.3396.99712.65
0-4-15-19-11-1-13-2-6-22-0 0-18-14-21-5-9-20-0 0-3-7-16-12-8-10-17-0695.59122.56714.06
0-4-15-19-11-7-2-13-6-22-0 0-18-14-21-5-9-16-0 0-1-3-20-12-8-10-17-0644.90161.72676.88
0-4-15-19-11-7-2-13-6-22-0 0-18-14-21-5-9-16-0 0-1-20-3-12-8-10-17-0643.45178.18678.25
0-4-15-19-11-7-2-13-6-22-0 0-18-14-21-9-5-16-0 0-1-3-20-12-8-10-17-0644.72168.08683.36
0-4-15-19-11-7-2-13-6-22-0 0-18-14-21-9-5-16-0 0-1-20-3-12-8-10-17-0643.26184.54684.73
W-BEG-NSGA-II0-3-8-12-17-9-13-21-0 0-4-7-11-19-20-16-0 0-1-5-14-10-2-6-22-15-18-0597.4870.17591.051.6
0-3-8-12-17-9-13-21-0 0-4-7-11-19-20-16-0 0-1-14-5-10-2-6-22-15-18-0631.2966.56620.02
0-3-8-12-17-9-13-21-0 0-4-11-7-19-16-20-0 0-1-5-14-10-2-6-22-15-18-0590.7770.17593.94
0-3-8-12-17-9-13-21-0 0-4-11-7-19-16-20-0 0-1-14-5-10-2-6-22-15-18-0624.5866.56622.91
0-3-8-12-17-9-13-21-0 0-4-19-7-11-16-20-0 0-1-5-14-10-2-6-22-15-18-0599.7973.82588.29
0-3-8-12-17-9-13-21-0 0-4-19-11-7-16-20-0 0-1-5-14-10-2-6-22-15-18-0585.6775.06589.56
0-3-8-12-17-9-13-21-0 0-4-19-11-7-20-16-0 0-1-5-14-10-2-6-22-15-18-0585.6082.61588.27
0-4-11-7-19-16-20-0 0-3-8-12-17-9-13-21-0 0-1-5-14-10-2-6-22-15-18-0590.7770.17593.94
0-4-11-7-19-16-20-0 0-3-8-12-17-9-13-21-0 0-1-14-5-10-2-6-22-15-18-0624.5866.56622.91
0-4-19-7-11-20-16-0 0-3-8-12-17-9-13-21-0 0-1-5-14-10-2-6-22-15-18-0599.7680.99586.63
0-4-19-11-7-16-20-0 0-3-8-12-17-9-13-21-0 0-1-5-14-10-2-6-22-15-18-0585.6775.06589.56
0-4-19-11-7-16-20-0 0-3-12-8-17-9-13-21-0 0-1-5-14-10-2-6-22-15-18-0585.6081.80594.75
BEG-NSGA-II0-4-15-2-10-6-22-18-14-0 0-1-17-16-3-11-19-0 0-9-13-21-5-12-8-7-20-0544.83147.38569.640.9
0-4-15-2-10-6-22-18-14-0 0-9-17-3-16-11-19-0 0-1-13-21-5-12-8-7-20-0543.80147.15570.21
0-4-15-2-10-6-22-18-14-0 0-9-17-16-3-11-19-0 0-1-13-21-5-12-8-7-20-0540.38159.78569.18
0-4-15-2-10-6-22-18-14-0 0-17-9-16-3-11-19-0 0-1-13-21-5-12-8-7-20-0537.94164.41572.82
0-4-15-2-10-14-6-22-18-0 0-1-17-3-16-11-19-0 0-9-13-21-5-12-8-7-20-0546.7947.91572.21
0-4-15-2-10-14-6-22-18-0 0-1-17-16-3-11-19-0 0-9-13-21-5-12-8-7-20-0543.3760.54571.17
0-4-15-2-10-14-6-22-18-0 0-3-9-17-16-11-19-0 0-1-13-21-5-12-8-7-20-0542.870583.29
0-4-15-2-10-14-6-22-18-0 0-3-16-17-9-11-19-0 0-1-13-21-5-12-8-7-20-0539.740584.11
0-4-15-2-10-14-6-22-18-0 0-3-17-9-16-11-19-0 0-1-13-21-5-12-8-7-20-0537.200584.27
0-4-15-2-10-14-6-22-18-0 0-9-17-3-16-11-19-0 0-1-13-21-5-12-8-7-20-0542.3460.31571.75

Note: (a) “” meant that the marked result dominates the results of T-NSGA-II.
(b) “” meant that the marked result dominates the results of W-BEG-NSGA-II.
(c) “” meant that the marked result dominates the results of T-NSGA-II and W-BEG-NSGA-II simultaneously.