The Location-Routing Problem with Full Truckloads in Low-Carbon Supply Chain Network Designing

Table 2

The obtained metrics for algorithms performance.

Number	Instance	NSGA-II		NSGA-II-TS
		MID	Δ	MID	Δ
1	4 × 2 × 4 × 2	0.85689	0.51285	0.82237	0.41338
2	4 × 2 × 4 × 3	0.85437	0.9242	0.85311	0.89941
3	4 × 2 × 4 × 4	0.75704	0.94667	0.74074	0.91001
4	4 × 2 × 4 × 5	1.18334	1.02135	0.89019	1.08813
5	5 × 3 × 5 × 1	0.49743	0.95698	0.39202	0.78462
6	5 × 3 × 5 × 2	0.70307	0.39554	0.62630	0.24118
7	5 × 3 × 5 × 3	1.33393	1.03044	1.33349	0.96609
8	5 × 3 × 5 × 4	0.87236	0.84321	0.66498	0.62464
9	5 × 3 × 5 × 5	1.47103	1.52732	0.90403	0.67003
10	6 × 3 × 6 × 1	1.13516	0.71004	1.13135	0.69386
11	6 × 3 × 6 × 2	1.0077	0.87302	0.62362	0.72721
12	6 × 3 × 6 × 3	0.75929	1.01873	0.75268	1.01054
13	6 × 3 × 6 × 4	1.08236	1.01257	1.04624	1.00454
14	6 × 3 × 6 × 5	0.68291	0.79220	0.63944	0.74944
15	7 × 4 × 7 × 1	0.8901	0.50000	0.8805	0.49723
16	7 × 4 × 7 × 2	0.99927	0.86644	0.84185	0.33720
17	7 × 4 × 7 × 3	0.88898	1.06045	0.83051	1.0357
18	7 × 4 × 7 × 4	0.90262	1.02518	0.61733	0.80097
19	7 × 4 × 7 × 5	1.02797	0.97937	0.88750	0.95451
20	8 × 4 × 8 × 1	0.58773	0.9446	0.45837	0.59011
21	8 × 4 × 8 × 2	0.75841	0.64195	0.71611	0.59445
22	8 × 4 × 8 × 3	0.66301	0.90299	0.52856	0.83202
23	8 × 4 × 8 × 4	0.67697	0.98718	0.35737	0.97293
24	9 × 5 × 9 × 1	1.0705	0.9209	0.85177	0.79481
25	9 × 4 × 9 × 2	0.84051	1.19628	0.82783	1.10633
26	9 × 4 × 9 × 3	0.89771	0.94838	0.84297	0.86832
27	9 × 4 × 9 × 4	0.68986	1.30304	0.61661	1.07057
28	10 × 5 × 10 × 1	0.7885	0.79695	0.77733	0.65599
29	10 × 5 × 10 × 2	0.73136	1.08843	0.73816	0.75582
30	10 × 5 × 10 × 3	0.99993	1.06113	0.72235	0.91881
31	10 × 5 × 12 × 1	0.55728	1.09353	0.30017	0.77984
32	10 × 5 × 12 × 2	0.73786	0.95561	0.27845	0.72465
33	10 × 5 × 12 × 3	0.74217	1.12298	0.63351	0.81266
34	15 × 5 × 12 × 1	0.41704	0.98706	0.35509	0.97266
35	15 × 5 × 12 × 2	1.01935	0.83007	0.99928	0.79450
36	15 × 5 × 12 × 3	0.82202	1.06976	0.63314	0.93739