Research Article

Solving Constrained Global Optimization Problems by Using Hybrid Evolutionary Computing and Artificial Life Approaches

Table 12

Coefficients for TP 5.

𝑙 𝜔 𝑙 𝑙 𝜔 𝑙 𝑙 𝜔 𝑙

1 1.715 16 0 . 1 9 1 2 0 5 9 2 𝐸 1 31 0.00061000
2 0.035 17 0 . 5 6 8 5 0 7 5 0 𝐸 + 2 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 0 . 5 9 5 5 3 5 7 1 𝐸 2 22 0 . 2 4 6 2 3 1 2 1 𝐸 + 4 37 0 . 1 0 2 0 4 0 8 2 𝐸 1
8 0.88392857 23 0 . 2 5 1 2 5 6 3 4 𝐸 + 2 38 0 . 1 2 2 4 4 8 9 8 𝐸 4
9 0.11756250 24 0 . 1 6 1 1 8 9 9 6 𝐸 + 3 39 0.00006250
10 1.10880000 25 5000.0 40 0.00006250
11 0.13035330 26 0 . 4 8 9 5 1 0 0 0 𝐸 + 6 41 0.00007625
12 0.00660330 27 0 . 4 4 3 3 3 3 3 3 𝐸 + 2 42 1.22
13 0 . 6 6 1 7 3 2 6 9 𝐸 3 28 0.33000000 43 1.0
14 0 . 1 7 2 3 9 8 7 8 𝐸 1 29 0.02255600 44 1.0
15 0 . 5 6 5 9 5 5 5 9 𝐸 2 30 0.00759500