Correspondence Model of Human Resource Management and Marketing Based on Genetic Algorithm

Table 1

Predicted data of the quadratic and triple exponential smoothing method.

Period	Observations	Optimal smoothing factor 2	Quadratic exponential smoothing	Mean relative error 2	Optimal smoothing factor 3	Triple exponential smoothing	Mean relative error 3
0 o’clock	365	0.1	332.22	0.023	1	156	0.1
1 o’clock	411	0.2	356.79	0.12	0.1	279.78	0.1
2 o’clock	97	0.1	114	0.079	1	100	0
3 o’clock	132	0	126	0.123	0.2	379.99	1
4 o’clock	349	0	397.67	0.089	0.3	465.12	0
5 o’clock	623	0	720	0.117	0	776.81	1
6 o’clock	798	0.3	598.91	0.113	0.1	684.89	0
7 o’clock	1034	1	1132.24	0.123	0.1	1777	0.1
8 o’clock	1058	0	1250.18	0.2	0.1	1546.76	0.1
9 o’clock	1177	0	1278.61	0.218	0.1	1443.52	0.1
10 o’clock	1288	0.1	1300	0.098	0	1323.01	0.3
11 o’clock	1358	0.2	1319.11	0.078	0.1	1433.89	0
12 o’clock	1369	0.1	1495.67	0.056	0.2	1221.51	0.1
13 o’clock	1451	1	1588.34	0.091	0.1	1589	0.1
14 o’clock	1436	1	1597.40	0.045	0	1563.21	1
15 o’clock	1479	0	1518	0.026	0.3	1479.08	0
16 o’clock	1498	0	1478.89	0.178	1	1322.6	0.1
17 o’clock	1266	0	1789.60	0.195	0.1	1345.8	0
18 o’clock	1049	0.1	1123.5	0.123	0.1	1209.5	0
19 o’clock	954	0.1	943.98	0.2	0	1092.3	1
20 o’clock	723	0.2	669.99	0.1	0	926.1	0.1
21 o’clock	651	0.2	723.12	0.028	0.2	765.22	0.3
22 o’clock	543	0	503.1	0.052	0.1	591.84	0.1
23 o’clock	425	0.1	298.7	0.071	0	335.26	1