The Fourth-Party Logistics Routing Problem Using Ant Colony System-Improved Grey Wolf Optimization

Table 4

The impact of T₀ on transportation plans.

T0	R	U	Cs	CL	TS	TL
35	1 ⟶ (2^0.5, 3^0.1, 4^0.4) ⟶ 3 ⟶ (1^0.5, 2^0.1, 3^0.4) ⟶ 4 ⟶ (2^0.4, 3^0.6) ⟶ 7	−0.31	52.3	55.1	55.2	58.8
40	1 ⟶ (2^0.3, 3^0.1, 4^0.6) ⟶ 3 ⟶ (2^0.8, 3^0.2) ⟶ 4 ⟶ (1^0.4, 2^0.2, 3^0.4) ⟶ 7	−0.19	52.0	54.3	54.6	58.2
45	1 ⟶ (3^0.5, 4^0.5) ⟶ 3 ⟶ (1^1) ⟶ 4 ⟶ (2^0.4, 3^0.6) ⟶ 7	−0.07	53.4	55.3	54.8	58.5
50	1 ⟶ (2^0.6, 4^0.4) ⟶ 3 ⟶ (1^1) ⟶ 4 ⟶ (2^0.5, 3^0.5) ⟶ 7	0.05	54.9	56.9	53.3	57.6
55	1 ⟶ (2^1) ⟶ 3 ⟶ (1^0.5, 2^0.5) ⟶ 6 ⟶ (1^0.3, 2^0.7) ⟶ 7	0.18	56.8	58.7	53.3	54.0
60	1 ⟶ (2^0.5, 3^0.1, 4^0.4) ⟶ 3 ⟶ (1^0.5, 2^0.1, 3^0.4) ⟶ 4 ⟶ (2^0.4, 3^0.6) ⟶ 7	0.22	52.3	55.1	55.2	58.8
65	1 ⟶ (2^1) ⟶ 3 ⟶ (1^0.7, 2^0.1, 3^0.2) ⟶ 4 ⟶ (2^0.2, 3^0.8) ⟶ 7	0.28	55.0	57.5	55.6	58.7
70	1 ⟶ (2^1) ⟶ 3 ⟶ (1^0.8, 3^0.2) ⟶ 4 ⟶ (2^0.4, 3^0.6) ⟶ 7	0.32	56.8	58.5	53.7	58.7
75	1 ⟶ (2^1) ⟶ 3 ⟶ (1^0.7, 2^0.1, 3^0.2) ⟶ 4 ⟶ (2^0.4, 3^0.6) ⟶ 7	0.36	55.4	57.9	55.6	58.7
80	1 ⟶ (2^1) ⟶ 3 ⟶ (2^0.1, 3^0.2, 4^0.5) ⟶ 6 ⟶ (1^0.4, 2^0.6) ⟶ 7	0.40	55.8	57.8	54.1	56.8