Research Article
Solving Constrained Global Optimization Problems by Using Hybrid Evolutionary Computing and Artificial Life Approaches
Table 12
Coefficients for TP 5.
| | | | | | |
|
1
|
1.715
|
16
| |
31
|
0.00061000
|
2
|
0.035
|
17
| |
32
|
0.0005
|
3
|
4.0565
|
18
|
1.08702000
|
33
|
0.81967200
|
4
|
10.000
|
19
|
0.32175000
|
34
|
0.81967200
|
5
|
3000.0
|
20
|
0.03762000
|
35
|
24500.0
|
6
|
0.063
|
21
|
0.00619800
|
36
|
250.0
|
7
| |
22
| |
37
| |
8
|
0.88392857
|
23
| |
38
| |
9
|
0.11756250
|
24
| |
39
|
0.00006250
|
10
|
1.10880000
|
25
|
5000.0
|
40
|
0.00006250
|
11
|
0.13035330
|
26
| |
41
|
0.00007625
|
12
|
0.00660330
|
27
| |
42
|
1.22
|
13
| |
28
|
0.33000000
|
43
|
1.0
|
14
| |
29
|
0.02255600
|
44
|
1.0
|
15
| |
30
|
0.00759500
| | |
|
|