Next: Tech.Appendix: LCS for Tic-Tac-Toe Up: Examples: World as Table; Previous: Run 11 Contents
In another run the number of population elements has further been increassed to n=36.This shows only a very small effect (cf.figure 10.15).
Figure 10.15 shows the run graphically.
![\includegraphics[width=4.5in]{gaw2_n24l36N3000MT250_11.eps}](img1099.png)
-->n=36, l=36
n =
36.
l =
36.
-->[POP]=popgen(n,l)
POP =
column 1 to 12
0. 1. 1. 1. 1. 0. 1. 0. 1. 1. 1. 0.
1. 1. 1. 0. 0. 1. 1. 0. 0. 1. 1. 0.
1. 1. 0. 0. 1. 1. 1. 1. 0. 1. 0. 1.
0. 0. 1. 0. 0. 1. 0. 0. 1. 1. 1. 1.
1. 1. 0. 1. 1. 1. 0. 1. 0. 0. 1. 1.
1. 1. 1. 1. 1. 0. 0. 1. 0. 0. 0. 0.
0. 1. 1. 1. 1. 0. 0. 1. 0. 0. 1. 0.
1. 0. 0. 1. 0. 0. 1. 0. 1. 0. 0. 0.
0. 0. 1. 1. 1. 1. 1. 0. 1. 0. 1. 0.
0. 1. 0. 1. 1. 0. 1. 1. 0. 1. 1. 1.
1. 1. 0. 1. 1. 0. 0. 0. 0. 1. 1. 1.
1. 0. 0. 1. 0. 0. 0. 1. 1. 0. 1. 1.
0. 1. 1. 0. 0. 0. 0. 1. 1. 0. 0. 0.
1. 0. 0. 0. 0. 1. 0. 1. 0. 1. 0. 1.
1. 0. 0. 0. 1. 0. 1. 0. 1. 1. 0. 0.
1. 1. 0. 1. 0. 1. 0. 0. 1. 1. 1. 1.
1. 0. 1. 1. 0. 1. 0. 1. 0. 1. 0. 0.
1. 1. 1. 0. 1. 1. 0. 0. 0. 0. 1. 0.
0. 0. 1. 1. 0. 1. 1. 0. 1. 0. 0. 0.
0. 0. 0. 1. 0. 0. 1. 1. 0. 0. 1. 1.
0. 1. 1. 0. 1. 1. 0. 0. 0. 0. 1. 0.
1. 0. 1. 0. 0. 0. 0. 0. 0. 1. 0. 0.
0. 1. 1. 1. 1. 1. 0. 0. 0. 1. 0. 0.
1. 0. 0. 1. 0. 1. 0. 0. 0. 1. 1. 0.
1. 0. 1. 0. 0. 1. 0. 1. 1. 0. 1. 0.
0. 1. 0. 1. 1. 0. 1. 1. 1. 0. 1. 0.
1. 1. 0. 0. 0. 0. 0. 0. 1. 1. 0. 1.
0. 1. 1. 0. 0. 1. 1. 1. 0. 1. 0. 1.
0. 1. 1. 1. 1. 1. 0. 1. 1. 0. 0. 0.
0. 1. 0. 0. 0. 1. 0. 1. 1. 0. 1. 1.
1. 0. 1. 0. 0. 1. 1. 1. 0. 1. 1. 1.
1. 0. 0. 0. 1. 0. 0. 1. 1. 0. 1. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 0.
1. 1. 1. 1. 0. 0. 0. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 0. 1. 1. 0. 1. 0. 0.
column 13 to 24
1. 0. 1. 0. 1. 0. 0. 0. 1. 0. 0. 1.
0. 0. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0.
1. 1. 1. 1. 0. 1. 1. 1. 0. 0. 0. 1.
1. 1. 0. 1. 0. 1. 1. 0. 1. 1. 0. 1.
1. 1. 1. 0. 0. 0. 0. 1. 1. 0. 0. 1.
0. 0. 1. 0. 1. 0. 0. 1. 0. 0. 0. 0.
0. 1. 0. 1. 0. 1. 1. 1. 1. 0. 1. 0.
1. 1. 0. 1. 0. 1. 0. 1. 1. 1. 0. 0.
0. 1. 1. 1. 0. 1. 0. 1. 0. 0. 0. 0.
0. 1. 1. 0. 1. 0. 1. 1. 0. 0. 0. 1.
1. 0. 1. 0. 0. 1. 0. 1. 0. 1. 1. 0.
0. 1. 1. 1. 0. 0. 1. 1. 0. 1. 0. 0.
1. 1. 1. 1. 0. 0. 0. 1. 0. 0. 0. 1.
1. 0. 0. 0. 0. 1. 1. 0. 1. 1. 1. 0.
0. 1. 1. 1. 0. 1. 0. 0. 0. 0. 1. 1.
1. 0. 1. 0. 1. 1. 1. 0. 0. 0. 1. 1.
0. 1. 0. 1. 1. 0. 0. 0. 1. 0. 0. 1.
0. 1. 1. 0. 0. 1. 1. 1. 1. 0. 1. 0.
1. 0. 1. 1. 0. 0. 0. 1. 0. 1. 0. 0.
1. 0. 0. 0. 1. 0. 1. 1. 0. 1. 0. 0.
0. 0. 1. 1. 1. 0. 0. 1. 0. 1. 0. 1.
0. 1. 1. 1. 0. 1. 1. 0. 1. 0. 1. 0.
0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0.
1. 1. 0. 0. 0. 1. 0. 0. 1. 1. 1. 0.
1. 0. 0. 0. 1. 1. 0. 0. 1. 1. 1. 1.
1. 1. 0. 1. 1. 0. 1. 0. 0. 0. 0. 0.
0. 0. 0. 1. 0. 0. 0. 0. 1. 1. 1. 0.
0. 1. 0. 1. 0. 1. 1. 0. 1. 1. 0. 1.
1. 1. 1. 0. 1. 0. 0. 0. 1. 0. 0. 1.
0. 0. 0. 1. 1. 1. 0. 1. 0. 1. 0. 1.
1. 0. 1. 1. 0. 0. 1. 1. 1. 0. 0. 1.
1. 0. 1. 0. 1. 0. 0. 1. 1. 0. 0. 0.
1. 0. 0. 0. 0. 1. 1. 1. 1. 1. 0. 0.
1. 1. 1. 1. 1. 1. 0. 1. 0. 1. 1. 0.
0. 1. 0. 1. 0. 0. 1. 1. 0. 0. 1. 0.
0. 1. 0. 0. 1. 0. 0. 1. 0. 0. 0. 0.
column 25 to 36
0. 0. 0. 1. 0. 0. 1. 1. 1. 0. 1. 1.
0. 0. 1. 1. 1. 0. 0. 0. 0. 0. 0. 0.
1. 0. 1. 0. 1. 0. 1. 0. 1. 0. 1. 0.
0. 1. 1. 0. 0. 0. 1. 0. 0. 0. 1. 1.
0. 0. 1. 1. 0. 1. 0. 0. 1. 1. 0. 1.
0. 0. 1. 1. 0. 1. 1. 0. 0. 0. 0. 1.
1. 0. 1. 0. 1. 0. 1. 0. 1. 1. 0. 0.
0. 1. 0. 0. 1. 0. 0. 1. 1. 0. 0. 1.
0. 0. 0. 1. 1. 1. 0. 1. 1. 0. 0. 0.
1. 0. 0. 0. 1. 0. 0. 1. 1. 1. 0. 1.
0. 1. 1. 1. 0. 0. 0. 0. 1. 1. 1. 0.
0. 1. 1. 1. 0. 1. 0. 1. 0. 1. 1. 0.
1. 0. 1. 0. 1. 0. 0. 0. 1. 1. 1. 0.
0. 0. 0. 0. 1. 0. 0. 1. 0. 0. 1. 0.
1. 1. 1. 1. 1. 0. 0. 1. 0. 1. 1. 0.
0. 1. 1. 0. 1. 1. 1. 0. 0. 1. 1. 0.
1. 1. 1. 1. 0. 0. 0. 0. 1. 1. 1. 1.
1. 1. 0. 1. 1. 0. 0. 0. 0. 1. 1. 0.
0. 1. 1. 1. 0. 1. 1. 1. 1. 0. 0. 1.
1. 0. 1. 0. 1. 1. 1. 1. 1. 1. 0. 0.
0. 1. 1. 1. 1. 1. 0. 1. 0. 0. 0. 0.
0. 0. 1. 1. 0. 0. 0. 1. 1. 1. 0. 0.
1. 1. 1. 1. 0. 1. 1. 0. 0. 0. 1. 1.
0. 1. 1. 0. 0. 1. 0. 0. 1. 1. 1. 0.
1. 1. 0. 0. 0. 0. 1. 0. 0. 0. 0. 1.
1. 1. 0. 0. 1. 1. 0. 1. 1. 0. 0. 1.
0. 0. 0. 0. 0. 1. 0. 1. 1. 0. 0. 0.
1. 0. 0. 1. 0. 0. 1. 0. 1. 1. 1. 0.
0. 1. 1. 0. 1. 0. 0. 0. 0. 0. 1. 0.
1. 0. 0. 1. 1. 1. 1. 0. 1. 1. 1. 0.
1. 1. 1. 0. 0. 0. 0. 1. 1. 0. 1. 0.
1. 0. 1. 0. 0. 1. 1. 0. 0. 1. 1. 1.
0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 0. 1.
1. 1. 1. 1. 0. 1. 0. 0. 1. 0. 0. 1.
1. 0. 0. 0. 1. 0. 0. 0. 1. 0. 0. 0.
0. 0. 0. 1. 0. 1. 1. 0. 0. 1. 0. 1.
-->b=3,N=3000, MT=round(N/6),show=2,[FITNESS_ALL_PERC,POP]=gaw2(W2,POP,l,n,N,
MT,b,show)
b =
3.
N =
3000.
MT =
500.
show =
2.
mutation point at row = 29 col = 29
Mutation at cycle = 502
mutation point at row = 16 col = 4
Mutation at cycle = 1003
mutation point at row = 33 col = 14
Mutation at cycle = 1504
mutation point at row = 19 col = 16
Mutation at cycle = 2005
mutation point at row = 26 col = 27
Mutation at cycle = 2506
Number of Events n * N = 108000
POP =
column 1 to 12
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 0.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 0. 1. 0. 1. 1. 0. 1. 0. 0. 0. 1.
column 13 to 24
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 1. 1.
0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 0. 1.
0. 1. 1. 0. 1. 0. 0. 1. 1. 0. 0. 0.
0. 1. 1. 0. 1. 0. 0. 1. 1. 0. 1. 1.
0. 1. 1. 0. 1. 0. 0. 1. 1. 0. 0. 1.
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 0. 0.
0. 1. 1. 0. 1. 0. 0. 1. 1. 1. 0. 1.
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 0. 0.
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 1. 0.
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 0. 1.
0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1. 0.
0. 1. 1. 0. 1. 0. 0. 1. 1. 0. 0. 1.
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 0. 0.
0. 1. 1. 0. 1. 0. 1. 1. 1. 0. 0. 0.
0. 1. 1. 0. 1. 0. 1. 0. 1. 0. 0. 1.
0. 1. 1. 0. 1. 0. 0. 1. 1. 0. 0. 0.
0. 1. 1. 0. 1. 0. 0. 0. 0. 0. 0. 0.
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 0. 0.
0. 1. 1. 0. 1. 0. 0. 0. 0. 0. 1. 0.
0. 1. 1. 0. 1. 0. 0. 1. 1. 0. 0. 1.
0. 1. 1. 0. 1. 0. 0. 0. 0. 0. 0. 0.
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 0. 0.
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 1. 0.
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 0. 0.
0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1. 0.
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 0. 1.
0. 1. 1. 0. 1. 0. 0. 1. 1. 0. 0. 0.
0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 0. 0.
0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1. 0.
0. 1. 1. 0. 1. 0. 1. 1. 1. 0. 1. 0.
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 0. 0.
0. 1. 1. 0. 1. 0. 0. 1. 1. 0. 1. 1.
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 1. 1.
0. 1. 1. 0. 1. 0. 0. 1. 1. 1. 1. 0.
0. 1. 1. 0. 1. 0. 0. 1. 1. 0. 0. 0.
0. 1. 1. 0. 1. 0. 0. 1. 0. 0. 0. 0.
column 25 to 36
0. 1. 1. 0. 0. 0. 1. 1. 0. 1. 0. 1.
0. 1. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
0. 1. 1. 1. 0. 1. 0. 1. 0. 1. 1. 1.
0. 1. 1. 1. 1. 1. 1. 1. 0. 1. 0. 1.
0. 1. 1. 1. 0. 0. 1. 0. 0. 0. 0. 1.
0. 1. 1. 0. 0. 0. 0. 1. 0. 0. 0. 1.
0. 1. 1. 0. 0. 1. 1. 0. 0. 1. 1. 1.
0. 1. 1. 0. 0. 0. 0. 0. 0. 0. 1. 1.
0. 1. 1. 0. 0. 0. 1. 0. 0. 1. 0. 1.
0. 1. 1. 1. 0. 1. 1. 0. 0. 0. 0. 1.
1. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 1.
0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 1.
0. 1. 1. 0. 0. 0. 1. 1. 0. 1. 0. 1.
0. 1. 1. 1. 0. 0. 1. 1. 1. 1. 0. 1.
1. 1. 1. 0. 0. 0. 1. 1. 0. 0. 0. 1.
0. 1. 1. 1. 0. 1. 0. 1. 0. 1. 0. 1.
0. 1. 1. 1. 0. 0. 1. 1. 0. 0. 0. 1.
0. 1. 1. 1. 0. 1. 1. 0. 1. 0. 1. 1.
0. 1. 1. 1. 0. 1. 1. 0. 0. 1. 0. 1.
0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 1.
0. 1. 1. 0. 0. 0. 1. 1. 0. 0. 0. 1.
0. 1. 0. 0. 0. 0. 1. 0. 1. 0. 1. 1.
0. 1. 0. 1. 0. 0. 1. 1. 0. 0. 0. 1.
0. 1. 1. 1. 0. 0. 1. 0. 0. 0. 0. 1.
0. 1. 1. 0. 1. 0. 1. 1. 1. 1. 0. 1.
0. 1. 1. 0. 0. 0. 0. 1. 0. 0. 0. 1.
0. 1. 0. 0. 0. 0. 1. 1. 0. 1. 0. 0.
0. 1. 1. 0. 0. 0. 0. 1. 0. 1. 0. 1.
0. 1. 1. 0. 0. 1. 0. 0. 0. 1. 0. 1.
0. 1. 1. 1. 1. 0. 0. 1. 0. 1. 1. 1.
0. 1. 1. 1. 0. 0. 0. 1. 0. 1. 1. 1.
1. 1. 1. 0. 0. 1. 1. 1. 1. 1. 1. 1.
0. 1. 1. 1. 0. 1. 1. 1. 0. 1. 1. 1.
1. 1. 1. 1. 0. 0. 0. 1. 0. 0. 0. 1.
1. 1. 1. 0. 0. 1. 1. 0. 0. 1. 1. 1.
1. 1. 1. 0. 0. 1. 1. 1. 0. 1. 1. 1.
column 37 to 45
0. 76. 0.0276968 0.9970845 1. 0. 0. 0. 0.
0. 71. 0.0258746 0.9314869 1. 0. 0. 0. 0.
0. 78. 0.0284257 1.0233236 1. 0. 0. 0. 0.
0. 75. 0.0273324 0.9839650 1. 0. 0. 0. 0.
0. 74. 0.0269679 0.9708455 1. 0. 0. 0. 0.
0. 94. 0.0342566 1.2332362 1. 0. 0. 0. 0.
0. 75. 0.0273324 0.9839650 1. 0. 0. 0. 0.
0. 88. 0.0320700 1.154519 1. 0. 0. 0. 0.
0. 86. 0.0313411 1.1282799 1. 0. 0. 0. 0.
0. 72. 0.0262391 0.9446064 1. 0. 0. 0. 0.
0. 78. 0.0284257 1.0233236 1. 0. 0. 0. 0.
0. 92. 0.0335277 1.2069971 1. 0. 0. 0. 0.
0. 73. 0.0266035 0.9577259 1. 0. 0. 0. 0.
0. 67. 0.0244169 0.8790087 1. 0. 0. 0. 0.
0. 76. 0.0276968 0.9970845 1. 0. 0. 0. 0.
0. 83. 0.0302478 1.0889213 1. 0. 0. 0. 0.
0. 71. 0.0258746 0.9314869 1. 0. 0. 0. 0.
0. 78. 0.0284257 1.0233236 1. 0. 0. 0. 0.
0. 77. 0.0280612 1.0102041 1. 0. 0. 0. 0.
0. 76. 0.0276968 0.9970845 1. 0. 0. 0. 0.
0. 84. 0.0306122 1.1020408 1. 0. 0. 0. 0.
0. 86. 0.0313411 1.1282799 1. 0. 0. 0. 0.
0. 85. 0.0309767 1.1151603 1. 0. 0. 0. 0.
0. 69. 0.0251458 0.9052478 1. 0. 0. 0. 0.
0. 79. 0.0287901 1.0364431 1. 0. 0. 0. 0.
0. 74. 0.0269679 0.9708455 1. 0. 0. 0. 0.
0. 65. 0.0236880 0.8527697 1. 0. 0. 0. 0.
0. 72. 0.0262391 0.9446064 1. 0. 0. 0. 0.
0. 78. 0.0284257 1.0233236 1. 0. 0. 0. 0.
0. 71. 0.0258746 0.9314869 1. 0. 0. 0. 0.
0. 74. 0.0269679 0.9708455 1. 0. 0. 0. 0.
0. 76. 0.0276968 0.9970845 1. 0. 0. 0. 0.
0. 72. 0.0262391 0.9446064 1. 0. 0. 0. 0.
0. 59. 0.0215015 0.7740525 1. 0. 0. 0. 0.
0. 70. 0.0255102 0.9183673 1. 0. 0. 0. 0.
0. 70. 0.0255102 0.9183673 1. 0. 0. 0. 0.
column 46 to 57
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 0. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
column 58 to 69
1. 0. 1. 0. 0. 1. 0. 0. 1. 1. 0. 1.
1. 0. 1. 0. 0. 1. 1. 0. 1. 1. 1. 1.
1. 0. 1. 0. 0. 1. 1. 0. 1. 1. 0. 1.
1. 0. 1. 0. 0. 0. 1. 0. 1. 0. 0. 1.
1. 0. 1. 0. 0. 1. 1. 0. 0. 0. 1. 1.
1. 0. 1. 0. 1. 1. 1. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 1. 1. 0. 0. 1. 0. 1.
1. 0. 1. 0. 1. 0. 1. 0. 0. 1. 1. 1.
1. 0. 1. 0. 0. 0. 1. 0. 0. 1. 0. 1.
1. 0. 1. 0. 0. 1. 0. 0. 1. 1. 1. 1.
1. 0. 1. 0. 0. 1. 1. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 1. 1. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 1. 0. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 1. 0. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 0. 1. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 0. 1. 0. 1. 0. 1. 0.
1. 0. 1. 0. 0. 1. 0. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 1. 0. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 1. 0. 0. 0. 0. 1. 1.
1. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 1. 0. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 0. 0. 0. 1. 0. 0. 1.
1. 0. 1. 0. 0. 1. 0. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 1. 0. 0. 0. 0. 0. 1.
1. 0. 1. 0. 1. 1. 1. 0. 1. 0. 0. 1.
1. 0. 1. 0. 0. 1. 1. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 1.
1. 0. 1. 0. 0. 1. 1. 0. 0. 1. 0. 1.
1. 0. 1. 0. 0. 0. 1. 0. 1. 0. 0. 1.
1. 0. 1. 0. 0. 1. 0. 0. 1. 0. 0. 1.
1. 0. 1. 0. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 1. 0. 0. 1. 0. 0. 1. 0. 0. 1.
1. 0. 1. 0. 0. 1. 1. 1. 0. 1. 0. 1.
1. 0. 1. 0. 0. 1. 1. 0. 0. 1. 0. 1.
1. 0. 1. 0. 0. 1. 1. 1. 1. 0. 0. 1.
column 70 to 79
1. 1. 0. 1. 0. 0. 0. 1. 0. 1.
1. 0. 0. 1. 1. 1. 1. 1. 1. 1.
1. 1. 0. 1. 0. 1. 0. 1. 1. 1.
1. 1. 1. 0. 0. 1. 0. 1. 1. 1.
1. 0. 0. 1. 1. 0. 0. 1. 1. 1.
1. 1. 0. 0. 1. 1. 0. 1. 0. 1.
1. 0. 0. 0. 0. 0. 1. 1. 0. 1.
1. 0. 0. 0. 1. 1. 0. 1. 0. 1.
1. 0. 0. 0. 1. 1. 0. 1. 0. 1.
1. 1. 0. 0. 0. 1. 0. 0. 0. 1.
1. 0. 0. 0. 0. 1. 0. 1. 0. 1.
1. 1. 1. 1. 1. 1. 0. 1. 0. 1.
1. 0. 0. 0. 0. 0. 0. 0. 1. 1.
1. 0. 0. 0. 0. 1. 0. 0. 0. 1.
0. 0. 0. 0. 1. 1. 0. 1. 0. 0.
1. 1. 0. 0. 0. 0. 1. 1. 0. 1.
1. 1. 0. 1. 1. 0. 1. 0. 1. 1.
1. 1. 0. 0. 0. 1. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1. 0. 1. 1. 1.
1. 1. 0. 0. 1. 1. 0. 0. 0. 1.
0. 0. 0. 0. 1. 0. 1. 0. 1. 1.
1. 1. 0. 1. 1. 0. 0. 1. 0. 1.
1. 1. 0. 0. 1. 0. 0. 0. 0. 1.
1. 0. 0. 0. 1. 1. 1. 1. 0. 1.
1. 0. 0. 1. 0. 0. 0. 1. 0. 1.
1. 1. 0. 1. 0. 1. 0. 0. 0. 1.
1. 0. 0. 0. 0. 1. 0. 0. 0. 1.
1. 0. 0. 0. 1. 1. 0. 0. 0. 1.
1. 1. 0. 0. 1. 0. 0. 0. 0. 1.
1. 0. 1. 0. 1. 1. 1. 1. 0. 1.
1. 0. 0. 0. 1. 0. 0. 1. 0. 1.
1. 1. 0. 1. 1. 0. 0. 0. 0. 1.
0. 1. 0. 0. 1. 1. 0. 0. 0. 1.
1. 0. 0. 1. 1. 0. 0. 1. 1. 1.
1. 0. 0. 0. 0. 0. 0. 1. 1. 1.
1. 1. 0. 1. 1. 1. 0. 1. 1. 1.
FITNESS_ALL_PERC =
1. 26.805556
2. 27.106481
3. 27.291667
4. 25.671296
5. 28.981481
6. 29.351852
7. 28.518519
8. 29.467593
9. 30.462963
10. 30.162037
11. 31.712963
12. 30.231481
13. 29.560185
14. 32.361111
15. 33.125
16. 32.453704
17. 34.398148
18. 36.319444
19. 36.458333
20. 36.064815
21. 36.990741
22. 35.648148
23. 37.199074
24. 36.712963
25. 38.541667
26. 38.425926
27. 39.421296
28. 40.717593
29. 40.416667
30. 40.763889
31. 41.388889
32. 40.833333
33. 41.782407
34. 42.106481
35. 45.833333
36. 44.259259
37. 44.12037
38. 45.069444
39. 45.787037
40. 44.282407
41. 43.356481
42. 44.837963
43. 43.449074
44. 43.958333
45. 43.37963
46. 44.12037
47. 44.351852
48. 46.319444
49. 43.680556
50. 46.157407
51. 46.064815
52. 47.175926
53. 45.138889
54. 46.736111
55. 47.430556
56. 47.939815
57. 47.12963
58. 47.152778
59. 46.643519
60. 45.046296
61. 45.740741
62. 46.041667
63. 46.25
64. 46.273148
65. 47.824074
66. 48.240741
67. 47.5
68. 47.777778
69. 50.115741
70. 50.601852
71. 51.365741
72. 50.509259
73. 50.
74. 51.990741
75. 50.972222
76. 50.046296
77. 50.833333
78. 49.74537
79. 51.643519
80. 49.236111
81. 51.064815
82. 51.435185
83. 52.847222
84. 54.00463
85. 51.481481
86. 52.87037
87. 52.175926
88. 53.796296
89. 53.171296
90. 52.847222
91. 53.402778
92. 54.814815
93. 53.078704
94. 55.37037
95. 52.638889
96. 54.953704
97. 54.606481
98. 54.861111
99. 54.861111
100. 54.351852
101. 53.657407
102. 54.722222
103. 55.787037
104. 54.907407
105. 53.472222
106. 52.268519
107. 53.634259
108. 54.490741
109. 55.092593
110. 53.240741
111. 54.907407
112. 54.652778
113. 53.287037
114. 52.361111
115. 53.958333
116. 52.384259
117. 53.101852
118. 52.731481
119. 52.615741
120. 53.796296
121. 54.00463
122. 53.194444
123. 54.837963
124. 52.75463
125. 55.
126. 53.032407
127. 54.722222
128. 55.092593
129. 54.652778
130. 53.935185
131. 53.518519
132. 53.587963
133. 53.611111
134. 54.328704
135. 55.
136. 54.699074
137. 53.888889
138. 54.768519
139. 54.236111
140. 55.625
141. 56.666667
142. 57.199074
143. 55.810185
144. 54.861111
145. 57.75463
146. 57.592593
147. 56.736111
148. 57.222222
149. 58.240741
150. 56.921296
151. 58.194444
152. 56.342593
153. 54.62963
154. 56.944444
155. 58.078704
156. 56.550926
157. 57.777778
158. 57.268519
159. 57.430556
160. 57.731481
161. 56.990741
162. 57.175926
163. 56.365741
164. 57.12963
165. 57.013889
166. 57.430556
167. 58.240741
168. 59.351852
169. 58.703704
170. 59.027778
171. 57.384259
172. 57.731481
173. 57.152778
174. 58.101852
175. 57.986111
176. 56.759259
177. 57.12963
178. 59.12037
179. 56.921296
180. 56.805556
181. 57.592593
182. 57.731481
183. 56.736111
184. 57.824074
185. 57.083333
186. 57.314815
187. 59.00463
188. 57.407407
189. 59.12037
190. 57.546296
191. 58.981481
192. 58.796296
193. 59.583333
194. 56.898148
195. 60.578704
196. 58.125
197. 58.078704
198. 58.912037
199. 59.652778
200. 59.282407
201. 59.282407
202. 59.62963
203. 56.967593
204. 59.513889
205. 58.240741
206. 58.333333
207. 58.611111
208. 57.986111
209. 59.189815
210. 57.916667
211. 57.662037
212. 58.912037
213. 58.333333
214. 58.356481
215. 58.078704
216. 57.847222
217. 57.037037
218. 57.75463
219. 57.013889
220. 59.467593
221. 58.356481
222. 58.611111
223. 58.032407
224. 56.342593
225. 57.106481
226. 58.217593
227. 58.75
228. 57.523148
229. 59.74537
230. 55.671296
231. 57.824074
232. 57.24537
233. 56.064815
234. 58.75
235. 57.476852
236. 57.523148
237. 57.384259
238. 57.847222
239. 57.685185
240. 57.592593
241. 57.546296
242. 58.078704
243. 58.796296
244. 57.800926
245. 59.12037
246. 58.819444
247. 60.092593
248. 60.578704
249. 58.37963
250. 58.773148
251. 59.583333
252. 60.046296
253. 60.046296
254. 58.49537
255. 58.888889
256. 59.953704
257. 58.773148
258. 59.722222
259. 59.560185
260. 59.976852
261. 58.425926
262. 59.027778
263. 59.814815
264. 59.953704
265. 59.398148
266. 59.375
267. 61.574074
268. 60.324074
269. 62.013889
270. 60.486111
271. 61.875
272. 61.875
273. 60.763889
274. 62.592593
275. 61.087963
276. 60.671296
277. 61.898148
278. 61.25
279. 61.689815
280. 60.486111
281. 60.324074
282. 62.430556
283. 62.453704
284. 60.138889
285. 60.555556
286. 59.74537
287. 61.712963
288. 61.25
289. 61.226852
290. 60.486111
291. 61.342593
292. 61.134259
293. 61.50463
294. 61.550926
295. 61.342593
296. 61.342593
297. 60.740741
298. 61.458333
299. 61.643519
300. 61.736111
301. 61.296296
302. 62.592593
303. 61.967593
304. 60.439815
305. 62.291667
306. 61.50463
307. 62.569444
308. 61.018519
309. 61.898148
310. 61.412037
311. 58.703704
312. 59.791667
313. 61.342593
314. 60.601852
315. 61.527778
316. 62.5
317. 62.523148
318. 62.407407
319. 62.430556
320. 62.314815
321. 59.930556
322. 61.712963
323. 61.643519
324. 61.435185
325. 61.967593
326. 61.643519
327. 61.921296
328. 63.541667
329. 63.472222
330. 62.199074
331. 61.62037
332. 62.060185
333. 62.083333
334. 61.365741
335. 62.569444
336. 62.430556
337. 62.523148
338. 61.412037
339. 62.384259
340. 61.967593
341. 62.337963
342. 62.24537
343. 61.365741
344. 62.476852
345. 61.921296
346. 63.194444
347. 61.458333
348. 61.458333
349. 62.152778
350. 61.064815
351. 61.273148
352. 62.361111
353. 63.634259
354. 62.083333
355. 61.458333
356. 61.550926
357. 62.24537
358. 60.810185
359. 60.972222
360. 60.115741
361. 62.430556
362. 61.990741
363. 62.12963
364. 61.50463
365. 61.597222
366. 62.083333
367. 60.625
368. 60.717593
369. 62.175926
370. 62.268519
371. 61.064815
372. 62.106481
373. 62.453704
374. 62.106481
375. 62.777778
376. 61.458333
377. 61.481481
378. 60.925926
379. 62.337963
380. 61.226852
381. 62.615741
382. 62.916667
383. 62.5
384. 62.407407
385. 64.027778
386. 63.217593
387. 64.074074
388. 63.101852
389. 64.398148
390. 62.5
391. 63.171296
392. 63.009259
393. 62.037037
394. 64.444444
395. 62.476852
396. 64.097222
397. 62.800926
398. 63.472222
399. 61.273148
400. 63.634259
401. 63.333333
402. 62.962963
403. 63.865741
404. 63.634259
405. 62.800926
406. 63.009259
407. 63.078704
408. 64.513889
409. 62.986111
410. 62.268519
411. 63.333333
412. 62.291667
413. 62.384259
414. 61.759259
415. 62.361111
416. 63.032407
417. 62.893519
418. 61.759259
419. 62.986111
420. 61.597222
421. 62.361111
422. 62.384259
423. 64.050926
424. 61.50463
425. 62.800926
426. 63.564815
427. 62.685185
428. 62.962963
429. 61.921296
430. 62.24537
431. 62.24537
432. 63.449074
433. 62.060185
434. 62.569444
435. 62.24537
436. 62.268519
437. 61.805556
438. 62.083333
439. 61.412037
440. 62.615741
441. 63.055556
442. 61.180556
443. 62.962963
444. 62.384259
445. 62.453704
446. 62.291667
447. 63.125
448. 63.703704
449. 62.847222
450. 63.425926
451. 62.222222
452. 61.643519
453. 61.388889
454. 62.476852
455. 61.25
456. 62.87037
457. 63.217593
458. 61.782407
459. 62.986111
460. 62.685185
461. 61.666667
462. 62.731481
463. 63.078704
464. 60.833333
465. 63.240741
466. 61.967593
467. 62.708333
468. 62.430556
469. 63.148148
470. 62.314815
471. 62.037037
472. 62.615741
473. 63.703704
474. 63.726852
475. 63.148148
476. 63.402778
477. 63.148148
.... stopped print out
Based on the preceding experiments I have started a series of experiments with multi-compartment genomes using the program GA_v15b.sce. The results can be seen in figure 10.16.
![\includegraphics[width=4.5in]{experiments_GA_v15b_23May2011.eps}](img1100.png)
-->W2
W2 =
1. 3.
2. 1.
3. 2.
4. 4.
5. 7.
6. 5.
This has to be interpreted as follows:
bits. The
whole table can be encoded in one multi-compartment genome as a
sequence of 6 pairs representing 12 compartments with 
bits each,
resulting in a genome with 
bits.
of genomes has 
-many elements. In these
experiments the number was 
and 
.
cycles.
reaching from 
and it could be observed that the highest results (in average 78%) could be
reached with a mutation rate
. In the experiments so far it could
be observed that the mutation - if at all - only changed the total result only
very small. It has to be examined further whether and to which degree the
mutation operation can be improved to find more 'interesting goals' in the
large space of possible values.
. There seems to be no direct correlation between
overall success and the number of 100%-genomes. In a different seeting with
another fitness function those populations with a least one 100%-genome should
have good chances to survive
The diagrams 10.17 - 10.21 show examples of runs from the above mentioned experiments. The 'real' data have grwon to large sizes thus it is too difficult to 'print' them on this site. But everybody can repeat the experiments with the source code from the technical appendix.
Gerd Doeben-Henisch 2012-03-31
![\includegraphics[width=4.5in]{gaw2_n144l36N4000MT140_V1_0v144_77Perc.eps}](img1111.png)
![\includegraphics[width=4.5in]{gaw2_n144l36N3000MT135_V3_32v144_87Perc.eps}](img1112.png)
![\includegraphics[width=4.5in]{gaw2_n144l36N4000MT130_V4_9v144_81Perc.eps}](img1113.png)
![\includegraphics[width=4.5in]{gaw2_n144l36N4000MT120_V3_4v144_80Perc.eps}](img1114.png)