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

Table 7

Efficiency of the proposed mathematical model.

Instance	RLRPRCC-TT						RLRPRCC-TD
	△TC	△VC	△FEC/CE	△PC	△TD	△TT	△TC	△VC	△FEC/CE	△PC	△TD	△TT
25DC1	1.66	-15.45	37.89	-43.21	26.03	-15.28	1.56	-20.00	44.64	-54.31	38.43	-14.61
25DC2	2.62	-20.00	48.49	-45.32	39.54	-13.31	2.12	-20.00	47.53	-52.46	39.89	-13.46
25DC3	3.84	-14.68	42.70	-41.02	29.70	-14.44	2.39	-19.27	43.29	-48.19	42.10	-13.93
25DR	1.80	-15.45	36.12	-47.22	22.26	-18.75	1.72	-15.45	38.16	-56.38	28.02	-18.90
50DC1	3.31	-14.65	42.87	-55.92	16.01	-23.80	1.71	-7.58	24.71	-39.90	9.68	-15.67
50DC2	3.19	-14.65	36.25	-47.41	9.69	-21.30	1.46	-6.06	18.07	-31.00	2.31	-13.35
50DC3	6.00	-14.65	40.38	-48.94	10.58	-22.28	4.18	-7.58	28.37	-45.64	13.32	-15.00
50DR	5.72	-16.16	46.79	-49.96	17.76	-20.81	5.91	-14.65	46.51	-51.34	23.87	-17.50
75DC1	2.99	-17.90	46.74	-62.16	16.83	-26.99	2.77	-17.90	46.17	-64.85	19.53	-25.56
75DC2	4.75	-17.90	52.44	-61.70	22.34	-25.17	2.53	-19.84	42.50	-55.41	21.70	-20.07
75DC3	4.85	-22.14	58.43	-65.55	21.85	-30.25	3.44	-22.14	53.00	-64.90	22.75	-27.99
75DR	5.58	-12.08	36.35	-43.79	16.23	-16.32	9.31	-12.08	51.88	-58.65	33.20	-16.56
100DC1	2.31	-16.48	35.70	-54.71	8.04	-23.17	1.34	-15.93	31.37	-59.39	4.19	-23.10
100DC2	0.43	-16.97	28.96	-44.40	6.49	-20.75	0.30	-16.19	28.36	-47.42	10.75	-19.34
100DC3	3.58	-16.62	37.37	-48.89	11.35	-21.16	1.21	-17.17	30.65	-51.81	13.24	-20.60
100DR	7.57	-5.30	37.58	-31.25	26.13	-7.69	7.21	-5.30	37.75	-42.62	30.92	-7.90
Average	3.76	-15.69	41.57	-49.47	18.80	-20.09	3.07	-14.82	38.31	-51.52	22.12	-17.72
Median	3.45	-15.81	39.14	-48.15	17.30	-20.99	2.25	-16.06	40.33	-52.13	22.23	-17.03