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incorporating a particular set of random numerical constants (Figure 5.3).
Then these sub-ETs are as usual linked by a certain linking function, such as
addition or multiplication, forming a much more complex program composed
of smaller sub-programs (Figure 5.3 c).
It is worth emphasizing that this system - the GEP-RNC system - is con-
siderably more complex than the basic gene expression algorithm. Notwith-
standing, this system still performs with great efficiency, so much so that it
a.
0123456789012345601234567890123456
-//--?a?aa?
313500
/-*a-???a?a
185516
C = {0.699, 0.887, -0.971, -1.785, 1.432, 0.287, -1.553, -1.135, 0.379, 0.229}
C = {1.446, -0.842, -1.054, -1.168, 1.085, 1.470, -0.241, -0.496, 0.194, 0.302}
1
2
b.
Sub-ET
1
Sub-ET
2
a
a
-1.785
-0.842
0.194
a
a
a
0.887
-1.785
1.470
c.
ET
a
a
-1.785
-0.842
0.194
a
a
a
0.887
-1.785
1.470
Figure 5.3.
Expression of multigenic chromosomes encoding sub-ETs with random
numerical constants.
a)
A two-genic chromosome with its arrays of random numeri-
cal constants.
b)
The sub-ETs codified by each gene.
c)
The result of posttransla-
tional linking with addition (the linking function is shown in gray).
