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

Table 2

The simulation results of the fixed speed and optimized speed.

	TT0	TC0	CO2				TC
RC201	49.03	8097.23	1314.42	49.25	8080.02	1359.51	4.89%	2.33%
RC202	44.67	7258.80	1152.21	44.33	7245.81	1145.62	7.56%	1.78%
RC101	55.01	7999.08	1023.96	55.13	7989.93	1100.01	8.36%	2.26%
RC104	45.20	6998.02	1056.46	45.20	6995.86	1032.23	5.33%	14.34%
R201	47.05	7038.20	975.50	47.72	7033.24	979.21	5.75%	2.54%
R202	46.21	6903.42	990.54	46.35	6885.42	946.88	5.36%	3.37%
R301	57.20	7898.96	984.16	54.20	7895.81	984.27	5.24%	2.21%
R301	44.02	6656.12	938.01	41.07	6644.12	932.12	4.39%	4.34%
C201	165.40	16632.18	635.20	159.22	16575.21	630.89	2.34%	2.03%
C202	163.59	16810.10	618.21	160.29	16467.23	614.32	2.11%	2.07%
C301	156.01	15752.33	456.03	154.34	15691.42	442.89	2.09%	2.08%
C302	160.02	15702.34	458.23	157.28	15689.55	454.56	2.07%	2.03%
Ave.	86.12	10312.23	883.58	84.53	10266.13	885.21	4.62%	3.45%