Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm

Table 1

Goods data.

Number	Frequency of good	Weight (kg)	Original coordinates of the cargo position
1	2	2.80	(5, 6, 1)
2	8	8.60	(3, 2, 4)
3	1	4.91	(3, 6, 3)
4	1	3.52	(2, 3, 4)
5	2	2.81	(3, 6, 5)
6	1	3.16	(4, 6, 5)
7	2	4.25	(6, 5, 2)
8	2	5.13	(5, 2, 2)
9	3	1.30	(1, 5, 3)
10	1	2.16	(4, 6, 3)
11	2	2.50	(6, 1, 1)
12	1	5	(2, 6, 2)
13	4	2.48	(4, 1, 2)
14	2	8.65	(2, 1, 2)
15	1	1.62	(3, 2, 3)
16	3	1.45	(4, 6, 1)
17	6	2.45	(2, 5, 2)
18	2	2.31	(3, 6, 2)
19	2	1.98	(5, 4, 2)
20	1	2.23	(4, 4, 2)
21	2	5.06	(3, 2, 2)
22	1	2.96	(5, 6, 4)
23	2	2.48	(6, 5, 4)
24	2	1.12	(5, 5, 6)
25	4	6.54	(3, 1, 3)
26	3	3.79	(4, 6, 4)
27	3	5.04	(5, 5, 1)
28	3	4.70	(1, 1, 2)
29	2	12.57	(3, 6, 4)
30	5	3.10	(2, 4, 4)