Modeling and Solution of Vehicle Routing Problem with Grey Time Windows and Multiobjective Constraints

Table 2

Statistics of calculation results.

Example number	Experiment name	Customer satisfaction			Distribution cost
		Maximum	Minimum	Variance	Maximum	Minimum	Variance
C105	Test1	0.98	0.97	0.0000593	369.74	363.25	9.38
	Test2	0.98	0.90	0.0014682	372.32	363.25	18.29
C205	Test1	0.90	0.88	0.0000457	361.80	361.41	0.04
	Test2	0.89	0.86	0.0001539	380.49	361.41	77.41
R105	Test1	0.81	0.77	0.0004081	843.32	828.81	35.54
	Test2	0.82	0.72	0.0014266	908.23	814.62	1620.04
R205	Test1	0.89	0.84	0.0004327	789.13	771.72	59.07
	Test2	0.91	0.83	0.0011436	796.22	682.84	2353.54
RC105	Test1	0.85	0.82	0.0001368	660.71	635.92	106.68
	Test2	0.87	0.82	0.0000249	736.14	681.30	645.32
RC205	Test1	0.88	0.83	0.0004262	647.19	637.12	21.57
	Test2	0.91	0.76	0.0038700	664.47	632.77	172.86