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

Table 9

The effect of variations in clients’ time windows.

Instance	η=1.5					η=2					η=∞
	△TC	△PC	△CE	△TD	△TT	△TC	△PC	△CE	△TD	△TT	△TC	△PC	△CE	△TD	△TT
L25-1	3.09	-1.37	20.02	5.41	10.41	3.74	0.00	17.61	6.65	9.87	13.56	18.34	41.22	41.57	30.03
L25-2	4.98	-1.35	33.86	5.94	16.20	6.92	-11.92	65.00	7.92	29.89	18.37	18.99	41.67	38.22	29.84
L25-3	3.74	-8.53	38.32	4.24	19.40	3.93	-8.07	39.02	3.03	19.40	16.00	21.73	36.41	43.11	29.67
L50-1	2.54	1.31	12.75	7.20	7.78	4.06	3.39	27.81	11.30	15.01	16.98	25.38	42.74	44.98	29.95
L50-2	16.89	13.78	-8.33	14.21	1.49	18.29	19.84	-6.39	20.55	3.64	40.56	29.54	31.75	47.15	27.32
L50-3	2.50	-2.10	23.33	2.16	10.17	3.76	7.30	3.86	13.02	5.08	13.94	21.47	30.22	42.09	22.64
L75-1	1.69	-8.96	21.15	-0.17	8.89	3.25	5.53	13.73	11.69	8.70	14.65	23.40	28.91	40.09	20.34
L75-2	3.57	1.53	10.77	8.79	7.46	4.06	3.13	13.16	9.77	8.69	27.96	18.52	37.74	39.03	24.75
L75-3	2.33	1.64	14.94	6.51	7.59	3.82	8.30	11.96	11.18	7.02	19.48	25.88	21.06	43.81	18.82
L100-1	2.06	-2.39	17.31	5.66	8.84	3.38	2.59	14.52	8.71	8.79	13.93	28.52	26.35	44.29	22.03
L100-2	2.81	2.36	12.41	3.59	6.71	5.27	0.66	22.78	3.92	11.36	20.10	30.80	34.48	47.97	26.37
L100-3	1.01	-0.22	1.99	1.66	1.18	2.04	3.99	-0.16	6.29	1.31	17.82	24.71	30.62	43.25	22.61
Average	3.93	-0.36	16.54	5.43	8.84	5.21	2.89	18.58	9.50	10.73	19.45	23.94	33.60	42.96	25.36
Median	2.68	-0.78	16.13	5.54	8.31	3.88	3.26	14.12	9.24	8.74	17.40	24.05	33.11	43.18	25.56