Green Vehicle Routing Optimization Based on Carbon Emission and Multiobjective Hybrid Quantum Immune Algorithm

Table 1

The experimental results of vehicle energy optimization.

	V	TT	TC	CO2	VC/TC	FC/TC	EC/TC	S
RC201	79	49.52	8099.20	1325.53	51.43%	45.98%	0.87%	101
RC202	79	47.65	7240.45	1170.48	60.12%	46.33%	0.87%	104
RC101	75	57.05	7991.59	1112.04	56.48%	37.01%	0.71%	159
RC104	75	48.29	7025.05	1073.58	53.31%	40.82%	0.78%	188
R201	75	47.70	7032.03	998.18	57.79%	39.97%	0.75%	73
R202	79	46.25	6979.46	999.54	58.20%	40.56%	0.74%	89
R301	69	55.38	7902.15	999.83	62.54%	34.90%	0.73%	179
R301	76	46.02	6688.09	952.08	57.28%	40.03%	0.75%	201
C201	69	165.71	16680.10	653.02	87.76%	10.18%	0.20%	139
C202	83	163.05	16562.18	639.02	87.02%	10.33%	0.20%	127
C301	73	165.51	15730.21	472.21	90.29%	8.07%	0.17%	199
C302	72	160.78	15752.13	471.04	90.79%	8.03%	0.15%	197
Ave.	75	87.74	10306.87	905.55	67.75%	30.18%	0.58%	146.33