Research on the Distribution of Emergency Supplies during the COVID-19 Epidemic

Table 5

Detailed results for R1, C1, and RC1 data sets in Solomon’s standard algorithm.

Exam	Brandao							Repoussis				Jiumei Chen		This paper
	UVNS		UHGS		ILSA		BKS	EA		GRMSTS		VNS		BSOA
	TD	GAP%	TD	GAP%	TD	GAP%	TD	TD	GAP%	TD	GAP%	TD	GAP%	TD	GAP%
R101	1192.95	0.01	1192.85	0.00	1192.85	0.00	1192.85	1192.85	0.00	1197.42	0.38	1164.76	−2.35	907.48	−23.92
R102	1079.39	0.00	1079.39	0.00	1079.39	0.00	1079.39	1079.39	0.00	1106.42	2.50	1097.99	1.72	999.73	−7.38
R103	1016.83	0.00	1016.78	0.00	1016.86	0.01	1016.78	1016.78	0.00	1039.94	2.28	977.32	−3.88	866.13	−14.82
R104	837.28	0.57	833.52	0.12	834.44	0.23	832.50	869.63	4.46	800.17	−3.88	749.65	−9.95	753.42	−9.50
R105	1055.34	0.03	1055.04	0.00	1057.49	0.23	1055.04	1055.04	0.00	1061.15	0.58	1046.85	−0.78	966.81	−8.36
R106	1003.15	0.28	1000.93	0.06	1006.05	0.57	1000.36	1000.95	0.06	1018.92	1.86	981.38	−1.90	939.84	−6.05
R107	918.47	0.85	914.75	0.44	917.31	0.72	910.75	912.99	0.25	897.05	−1.50	880.86	−3.28	835.36	−8.28
R108	765.63	0.76	760.32	0.06	761.80	0.26	759.86	760.30	0.06	775.26	2.03	742.47	−2.29	744.97	−1.96
R109	937.86	0.40	934.52	0.04	934.77	0.07	934.15	934.53	0.04	927.86	−0.67	925.66	−0.91	891.14	−4.60
R110	881.91	4.18	885.18	4.57	878.59	3.79	846.49	846.49	0.00	899.67	6.28	820.59	−3.06	814.97	−3.72
R111	904.25	1.01	895.21	0.00	895.21	0.00	895.21	895.21	0.00	913.31	2.02	855.44	−4.44	820.84	−8.31
R112	815.43	1.75	811.76	1.29	811.14	1.21	801.43	811.73	1.29	814.91	1.68	745.78	−6.94	729.55	−8.97
C101	556.18	0.00	556.18	0.00	556.18	0.00	556.18	556.18	0.00	556.18	0.00	556.18	0.00	619.25	11.34
C102	556.18	0.00	556.18	0.00	556.18	0.00	556.18	556.18	0.00	556.18	0.00	620.60	11.58	602.03	8.24
C103	556.18	0.00	556.18	0.00	556.18	0.00	556.18	556.18	0.00	556.18	0.00	622.51	11.93	571.77	2.80
C104	555.41	0.00	555.41	0.00	555.41	0.00	555.41	555.41	0.00	555.41	0.00	623.02	12.17	565.01	1.73
C105	556.18	0.00	556.18	0.00	556.18	0.00	556.18	556.18	0.00	556.18	0.00	556.18	0.00	555.80	−0.07
C106	556.18	0.00	556.18	0.00	556.18	0.00	556.18	556.18	0.00	556.18	0.00	556.18	0.00	592.68	6.56
C107	556.18	0.00	556.18	0.00	556.18	0.00	556.18	556.18	0.00	556.18	0.00	556.18	0.00	555.80	−0.07
C108	555.80	0.00	555.80	0.00	555.80	0.00	555.80	555.80	0.00	555.80	0.00	555.90	0.02	555.80	0.00
C109	555.80	0.00	555.80	0.00	555.80	0.00	555.80	555.80	0.00	555.80	0.00	571.72	2.86	555.80	0.00
RC101	1227.37	0.00	1227.37	0.00	1227.37	0.00	1227.37	1227.37	0.00	1183.50	−3.57	1145.52	−6.67	1157.84	−5.66
RC102	1197.16	0.99	1125.04	−5.09	1193.11	0.65	1185.43	1203.05	1.49	1104.95	−6.79	1037.74	−12.46	1054.77	−11.02
RC103	919.32	0.07	918.65	0.00	918.65	0.00	918.65	923.15	0.49	950.68	3.49	935.06	1.79	939.76	2.30
RC104	790.58	0.45	787.02	0.00	787.02	0.00	787.02	787.02	0.00	826.76	5.05	819.23	4.09	803.09	2.04
RC105	1201.73	1.38	1186.34	0.08	1195.20	0.82	1185.43	1195.20	0.82	1152.41	−2.79	1106.80	−6.63	1039.89	−12.28
RC106	1073.78	0.18	1074.52	0.25	1071.83	0.00	1071.83	1095.65	2.22	1024.98	−4.37	1008.57	−5.90	1005.78	−6.16
RC107	862.88	0.26	860.62	0.00	861.28	0.08	860.62	861.28	0.08	868.31	0.89	926.91	7.70	880.64	2.33
RC108	837.38	0.76	832.27	0.14	831.78	0.08	831.09	831.09	0.00	863.52	3.90	830.02	−0.13	821.95	−1.10
Avg	845.61	0.48	841.25	0.07	844.01	0.30	841.25	844.96	0.39	842.46	0.32	828.17	−0.61	798.20	−3.62

Note. The bolded data in the table are the better solutions compared to the currently known best solutions.