Shared Mechanism-Based Self-Adaptive Hyperheuristic for Regional Low-Carbon Location-Routing Problem with Time Windows

Table 4

The effect of variations in client distribution.

Instance	TC	VC	FEC	PC	TD	TT	CE	MT
25CC1	968.40	214	160.37	44.04	63.25	379.26	48.06	14.45
25CC2	989.54	214	176.12	49.42	69.29	375.19	52.78	13.93
25CC3	1102.22	224	277.66	50.57	96.19	388.97	83.21	13.69
25CR	1119.49	252	258.06	59.43	104.23	440.12	77.34	13.53
50CC1	1511.03	294	287.49	29.53	95.56	525.24	86.16	99.13
50CC2	1609.45	304	364.57	40.88	116.85	563.76	109.26	91.61
50CC3	1819.25	362	472.31	84.94	162.55	731.86	141.55	90.68
50CR	1748.20	338	449.01	61.18	144.94	638.15	134.57	99.47
75CC1	1768.03	402	365.98	50.05	113.47	675.48	109.68	430.56
75CC2	1884.29	412	456.49	65.80	131.62	707.90	136.81	392.80
75CC3	2117.60	532	482.19	153.41	164.23	1010.34	144.51	349.89
75CR	2166.86	538	539.14	139.72	192.18	1012.16	161.58	416.82
100CC1	2787.31	606	515.13	66.19	159.43	973.26	154.38	414.69
100CC2	2981.92	642	628.08	111.84	205.93	1171.83	188.23	423.75
100CC3	3427.17	748	934.88	144.28	308.55	1337.28	280.18	430.09
100CR	3301.48	686	899.81	115.67	288.23	1239.87	269.67	418.17
Average	1956.39	423	454.21	79.18	151.03	760.67	136.12	232.08
Median	1793.64	382	452.75	63.49	138.28	691.69	135.69	224.68