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

Table 5

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
25CC1	1.43	-0.93	6.39	12.63	-0.23	0.79	0.60	1.87	4.87	-13.69	-6.05	-4.09
25CC2	0.49	0.00	1.95	2.79	0.17	-0.32	0.00	0.00	0.00	0.00	0.00	0.00
25CC3	0.73	0.00	2.29	3.39	-1.41	-0.62	0.33	0.00	0.90	2.26	-1.41	-0.31
25CR	1.22	-12.70	24.47	-29.41	11.15	-13.46	3.26	1.59	14.60	-8.63	-1.65	-5.04
50CC1	-0.32	1.36	-0.33	-26.86	-7.79	-8.88	1.23	1.36	8.77	-35.87	-0.33	-6.68
50CC2	2.00	0.00	10.72	-16.85	6.24	-4.38	1.21	0.00	7.11	-15.63	6.05	-2.42
50CC3	3.16	-6.63	22.13	-27.12	1.58	-13.25	0.88	-6.63	13.69	-29.08	1.88	-11.48
50CR	4.18	-1.78	21.39	-27.68	15.82	-8.36	3.17	-1.78	17.24	-26.27	12.14	-5.51
75CC1	1.94	0.00	11.88	-18.28	8.84	-3.42	1.38	0.00	10.60	-28.89	8.69	-4.78
75CC2	-1.09	-2.43	-1.00	-9.18	1.77	-3.89	1.40	-2.43	11.79	-26.55	12.50	-5.79
75CC3	3.74	-17.29	52.66	-53.94	25.70	-23.71	4.10	-17.29	54.94	-56.18	29.11	-23.98
75CR	6.78	-23.42	69.49	-72.75	30.41	-29.56	2.83	-17.10	43.56	-58.39	20.18	-22.44
100CC1	0.43	0.99	0.70	3.63	-1.07	-0.71	0.60	0.00	5.73	-19.23	2.77	-3.56
100CC2	1.32	0.62	10.34	-26.41	5.07	-8.27	1.46	-0.93	12.16	-24.11	9.14	-5.46
100CC3	1.53	-5.88	13.63	-21.46	4.73	-9.00	2.18	-5.88	15.17	-16.09	10.43	-3.80
100CR	3.64	-0.29	16.66	-23.85	8.37	-7.91	0.43	-1.46	4.08	-10.75	3.36	-2.76
Average	1.95	-4.27	16.46	-20.71	6.83	-8.44	1.57	-3.04	14.08	-22.94	6.68	-6.76
Median	1.48	-0.61	11.30	-22.66	4.90	-8.09	1.30	-0.47	11.19	-21.67	4.70	-4.91