Next: Run3 Up: Example: World as Table; Previous: Run1 Contents
Figure 10.2 shows a run with mutation at N/4. One can again see a great fluctuation and a phase where the system had 100% of the available scores, but the system looses the good values again. The question is how the system can stop at the 'right point'? The other question is that the table has four entries but the 100% encode only for one or two of the entries. How to deal with this?
![\includegraphics[width=4.5in]{example_table_l4n4gaw1W_2.eps}](img1086.png)
-->W
W =
1. 3.
2. 1.
3. 2.
-->n=4, l=4,[POP]=popgen(n,l)
POP =
0. 1. 0. 1.
0. 1. 0. 0.
1. 0. 0. 1.
1. 1. 0. 1.
-->p=7,show=2,l1=2,show=2,[POP,tcw,tcabin,ratio,f1,f0]=ftcw2(W,POP,l,p,n,l1,
show)
f0 =
1.969697
f1 =
2.030303
ratio =
1.0307692
tcabin =
36.251431
tcw =
72.502862
POP =
0. 1. 0. 1. 1. 2. 0.0606061 0. 0. 1.
0. 1. 0. 0. 1. 5. 0.1515152 0. 0. 0.
1. 0. 0. 1. 2. 20. 0.6060606 0. 0. 1.
1. 1. 0. 1. 3. 6. 0.1818182 0. 0. 1.
-->p=7,N=round(abs(tcw))*4,
MT=round(n/3),l1=2,show=1,[FITNESS_ALL_PERC,POP]=gaw1(W,POP,l,p,n,N, MT,l1,show)
New Numbers in POP
0. 1. 0. 1. 1. 2. 0.0606061 0. 0. 1.
0. 1. 0. 0. 1. 5. 0.1515152 0. 0. 0.
1. 0. 0. 1. 2. 20. 0.6060606 0. 0. 1.
1. 1. 0. 1. 3. 6. 0.1818182 0. 0. 1.
FITNESS_ALL = 38.000000
0. 1. 0. 1. 1. 7. 0.1842105 0. 0. 1.
0. 1. 0. 0. 1. 4. 0.1052632 0. 0. 0.
1. 0. 0. 1. 2. 20. 0.5263158 0. 0. 1.
1. 1. 0. 1. 3. 7. 0.1842105 0. 0. 1.
column 1 to 9
0. 1. 0. 1. 1. 7. 0.1842105 0.7368421 1.
0. 1. 0. 0. 1. 4. 0.1052632 0.4210526 0.
1. 0. 0. 1. 2. 20. 0.5263158 2.1052632 2.
1. 1. 0. 1. 3. 7. 0.1842105 0.7368421 1.
column 10 to 15
1. 0. 0. 1. 0. 1.
0. 0. 1. 0. 0. 1.
1. 0. 1. 1. 0. 1.
1. 0. 0. 0. 0. 0.
column 1 to 9
0. 1. 0. 1. 1. 7. 0.1842105 0.7368421 1.
1. 0. 0. 1. 1. 4. 0.1052632 0.4210526 0.
1. 1. 0. 0. 2. 20. 0.5263158 2.1052632 2.
0. 0. 0. 1. 3. 7. 0.1842105 0.7368421 1.
column 10 to 15
1. 0. 0. 1. 0. 1.
0. 0. 1. 0. 0. 1.
1. 0. 1. 1. 0. 1.
1. 0. 0. 0. 0. 0.
MCount = 0
cyc =
2.
New Numbers in POP
column 1 to 9
0. 1. 0. 1. 1. 7. 0.1842105 0.7368421 1.
1. 0. 0. 1. 2. 4. 0.1052632 0.4210526 0.
1. 1. 0. 0. 3. 20. 0.5263158 2.1052632 2.
0. 0. 0. 1. 0. 7. 0.1842105 0.7368421 1.
column 10 to 15
1. 0. 0. 1. 0. 1.
1. 0. 1. 0. 0. 1.
0. 0. 1. 1. 0. 1.
1. 0. 0. 0. 0. 0.
FITNESS_ALL = 34.000000
column 1 to 9
0. 1. 0. 1. 1. 7. 0.2058824 0.7368421 1.
1. 0. 0. 1. 2. 20. 0.5882353 0.4210526 0.
1. 1. 0. 0. 3. 5. 0.1470588 2.1052632 2.
0. 0. 0. 1. 0. 2. 0.0588235 0.7368421 1.
column 10 to 15
1. 0. 0. 1. 0. 1.
1. 0. 1. 0. 0. 1.
0. 0. 1. 1. 0. 1.
1. 0. 0. 0. 0. 0.
column 1 to 9
0. 1. 0. 1. 1. 7. 0.2058824 0.8235294 1.
1. 0. 0. 1. 2. 20. 0.5882353 2.3529412 2.
1. 1. 0. 0. 3. 5. 0.1470588 0.5882353 1.
0. 0. 0. 1. 0. 2. 0.0588235 0.2352941 0.
column 10 to 15
1. 0. 0. 1. 0. 1.
1. 0. 1. 0. 0. 1.
0. 0. 0. 0. 0. 1.
1. 0. 0. 0. 0. 0.
column 1 to 9
0. 0. 0. 1. 1. 7. 0.2058824 0.8235294 1.
0. 1. 0. 1. 2. 20. 0.5882353 2.3529412 2.
1. 0. 0. 0. 3. 5. 0.1470588 0.5882353 1.
0. 0. 0. 1. 0. 2. 0.0588235 0.2352941 0.
column 10 to 15
1. 0. 0. 1. 0. 1.
1. 0. 1. 0. 0. 1.
0. 0. 0. 0. 0. 1.
1. 0. 0. 0. 0. 0.
MCount = 1
cyc =
3.
New Numbers in POP
column 1 to 9
0. 0. 0. 1. 0. 7. 0.2058824 0.8235294 1.
0. 1. 0. 1. 1. 20. 0.5882353 2.3529412 2.
1. 0. 0. 0. 2. 5. 0.1470588 0.5882353 1.
0. 0. 0. 1. 0. 2. 0.0588235 0.2352941 0.
column 10 to 15
1. 0. 0. 1. 0. 1.
1. 0. 1. 0. 0. 1.
0. 0. 0. 0. 0. 1.
1. 0. 0. 0. 0. 0.
FITNESS_ALL = 26.000000
column 1 to 9
0. 0. 0. 1. 0. 10. 0.3846154 0.8235294 1.
0. 1. 0. 1. 1. 2. 0.0769231 2.3529412 2.
1. 0. 0. 0. 2. 6. 0.2307692 0.5882353 1.
0. 0. 0. 1. 0. 8. 0.3076923 0.2352941 0.
column 10 to 15
1. 0. 0. 1. 0. 1.
1. 0. 1. 0. 0. 1.
0. 0. 0. 0. 0. 1.
1. 0. 0. 0. 0. 0.
column 1 to 9
0. 0. 0. 1. 0. 10. 0.3846154 1.5384615 2.
0. 1. 0. 1. 1. 2. 0.0769231 0.3076923 0.
1. 0. 0. 0. 2. 6. 0.2307692 0.9230769 1.
0. 0. 0. 1. 0. 8. 0.3076923 1.2307692 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
1. 0. 0. 1. 0. 1.
0. 0. 0. 0. 0. 1.
1. 0. 0. 0. 0. 0.
column 1 to 9
0. 1. 0. 1. 0. 10. 0.3846154 1.5384615 2.
0. 0. 0. 1. 1. 2. 0.0769231 0.3076923 0.
0. 0. 0. 0. 2. 6. 0.2307692 0.9230769 1.
0. 0. 0. 1. 0. 8. 0.3076923 1.2307692 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
1. 0. 0. 1. 0. 1.
0. 0. 0. 0. 0. 1.
1. 0. 0. 0. 0. 0.
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 3
column 1 to 9
1. 1. 0. 1. 0. 10. 0.3846154 1.5384615 2.
0. 0. 0. 1. 1. 2. 0.0769231 0.3076923 0.
0. 0. 0. 0. 2. 6. 0.2307692 0.9230769 1.
0. 0. 0. 1. 0. 8. 0.3076923 1.2307692 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
1. 0. 0. 1. 0. 1.
0. 0. 0. 0. 0. 1.
1. 0. 0. 0. 0. 0.
cyc =
4.
New Numbers in POP
column 1 to 9
1. 1. 0. 1. 3. 10. 0.3846154 1.5384615 2.
0. 0. 0. 1. 0. 2. 0.0769231 0.3076923 0.
0. 0. 0. 0. 0. 6. 0.2307692 0.9230769 1.
0. 0. 0. 1. 0. 8. 0.3076923 1.2307692 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
1. 0. 0. 1. 0. 1.
0. 0. 0. 0. 0. 1.
1. 0. 0. 0. 0. 0.
FITNESS_ALL = 17.000000
column 1 to 9
1. 1. 0. 1. 3. 4. 0.2352941 1.5384615 2.
0. 0. 0. 1. 0. 0. 0. 0.3076923 0.
0. 0. 0. 0. 0. 3. 0.1764706 0.9230769 1.
0. 0. 0. 1. 0. 10. 0.5882353 1.2307692 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
1. 0. 0. 1. 0. 1.
0. 0. 0. 0. 0. 1.
1. 0. 0. 0. 0. 0.
column 1 to 9
1. 1. 0. 1. 3. 4. 0.2352941 0.9411765 1.
0. 0. 0. 1. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 3. 0.1764706 0.7058824 1.
0. 0. 0. 1. 0. 10. 0.5882353 2.3529412 2.
column 10 to 15
1. 0. 1. 1. 0. 1.
1. 0. 0. 0. 0. 1.
0. 0. 0. 0. 0. 1.
1. 0. 0. 0. 0. 0.
column 1 to 9
1. 1. 0. 1. 3. 4. 0.2352941 0.9411765 1.
0. 0. 0. 1. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 3. 0.1764706 0.7058824 1.
0. 0. 0. 1. 0. 10. 0.5882353 2.3529412 2.
column 10 to 15
1. 0. 1. 1. 0. 1.
1. 0. 0. 0. 0. 1.
0. 0. 0. 0. 0. 1.
1. 0. 0. 0. 0. 0.
MCount = 1
cyc =
5.
New Numbers in POP
column 1 to 9
1. 1. 0. 1. 3. 4. 0.2352941 0.9411765 1.
0. 0. 0. 1. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 3. 0.1764706 0.7058824 1.
0. 0. 0. 1. 0. 10. 0.5882353 2.3529412 2.
column 10 to 15
1. 0. 1. 1. 0. 1.
1. 0. 0. 0. 0. 1.
0. 0. 0. 0. 0. 1.
1. 0. 0. 0. 0. 0.
FITNESS_ALL = 16.000000
column 1 to 10
1. 1. 0. 1. 3. 9. 0.5625 0.9411765 1. 1.
0. 0. 0. 1. 0. 0. 0. 0. 0. 1.
0. 0. 0. 0. 0. 1. 0.0625 0.7058824 1. 0.
0. 0. 0. 1. 0. 6. 0.375 2.3529412 2. 1.
column 11 to 15
0. 1. 1. 0. 1.
0. 0. 0. 0. 1.
0. 0. 0. 0. 1.
0. 0. 0. 0. 0.
column 1 to 11
1. 1. 0. 1. 3. 9. 0.5625 2.25 2. 1. 0.
0. 0. 0. 1. 0. 0. 0. 0. 0. 1. 0.
0. 0. 0. 0. 0. 1. 0.0625 0.25 0. 0. 0.
0. 0. 0. 1. 0. 6. 0.375 1.5 2. 1. 0.
column 12 to 15
1. 1. 0. 1.
0. 0. 0. 1.
0. 0. 0. 1.
0. 0. 0. 0.
column 1 to 11
1. 1. 0. 1. 3. 9. 0.5625 2.25 2. 1. 0.
0. 0. 0. 1. 0. 0. 0. 0. 0. 1. 0.
0. 0. 0. 0. 0. 1. 0.0625 0.25 0. 0. 0.
0. 0. 0. 1. 0. 6. 0.375 1.5 2. 1. 0.
column 12 to 15
1. 1. 0. 1.
0. 0. 0. 1.
0. 0. 0. 1.
0. 0. 0. 0.
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 5
column 1 to 11
1. 1. 0. 1. 3. 9. 0.5625 2.25 2. 1. 0.
0. 0. 0. 1. 0. 0. 0. 0. 0. 1. 0.
0. 0. 1. 0. 0. 1. 0.0625 0.25 0. 0. 0.
0. 0. 0. 1. 0. 6. 0.375 1.5 2. 1. 0.
column 12 to 15
1. 1. 0. 1.
0. 0. 0. 1.
0. 0. 0. 1.
0. 0. 0. 0.
cyc =
6.
New Numbers in POP
column 1 to 11
1. 1. 0. 1. 3. 9. 0.5625 2.25 2. 1. 0.
0. 0. 0. 1. 0. 0. 0. 0. 0. 1. 0.
0. 0. 1. 0. 0. 1. 0.0625 0.25 0. 2. 0.
0. 0. 0. 1. 0. 6. 0.375 1.5 2. 1. 0.
column 12 to 15
1. 1. 0. 1.
0. 0. 0. 1.
0. 0. 0. 1.
0. 0. 0. 0.
FITNESS_ALL = 19.000000
column 1 to 10
1. 1. 0. 1. 3. 8. 0.4210526 2.25 2. 1.
0. 0. 0. 1. 0. 4. 0.2105263 0. 0. 1.
0. 0. 1. 0. 0. 6. 0.3157895 0.25 0. 2.
0. 0. 0. 1. 0. 1. 0.0526316 1.5 2. 1.
column 11 to 15
0. 1. 1. 0. 1.
0. 0. 0. 0. 1.
0. 0. 0. 0. 1.
0. 0. 0. 0. 0.
column 1 to 9
1. 1. 0. 1. 3. 8. 0.4210526 1.6842105 2.
0. 0. 0. 1. 0. 4. 0.2105263 0.8421053 1.
0. 0. 1. 0. 0. 6. 0.3157895 1.2631579 1.
0. 0. 0. 1. 0. 1. 0.0526316 0.2105263 0.
column 10 to 15
1. 0. 1. 1. 0. 1.
1. 0. 0. 0. 0. 1.
2. 0. 0. 0. 1. 0.
1. 0. 0. 0. 0. 1.
column 1 to 9
0. 0. 0. 1. 3. 8. 0.4210526 1.6842105 2.
0. 0. 1. 0. 0. 4. 0.2105263 0.8421053 1.
1. 0. 0. 1. 0. 6. 0.3157895 1.2631579 1.
0. 1. 0. 1. 0. 1. 0.0526316 0.2105263 0.
column 10 to 15
1. 0. 1. 1. 0. 1.
1. 0. 0. 0. 0. 1.
2. 0. 0. 0. 1. 0.
1. 0. 0. 0. 0. 1.
MCount = 1
cyc =
7.
New Numbers in POP
column 1 to 9
0. 0. 0. 1. 0. 8. 0.4210526 1.6842105 2.
0. 0. 1. 0. 0. 4. 0.2105263 0.8421053 1.
1. 0. 0. 1. 2. 6. 0.3157895 1.2631579 1.
0. 1. 0. 1. 1. 1. 0.0526316 0.2105263 0.
column 10 to 15
1. 0. 1. 1. 0. 1.
2. 0. 0. 0. 0. 1.
1. 0. 0. 0. 1. 0.
1. 0. 0. 0. 0. 1.
FITNESS_ALL = 39.000000
column 1 to 9
0. 0. 0. 1. 0. 4. 0.1025641 1.6842105 2.
0. 0. 1. 0. 0. 9. 0.2307692 0.8421053 1.
1. 0. 0. 1. 2. 20. 0.5128205 1.2631579 1.
0. 1. 0. 1. 1. 6. 0.1538462 0.2105263 0.
column 10 to 15
1. 0. 1. 1. 0. 1.
2. 0. 0. 0. 0. 1.
1. 0. 0. 0. 1. 0.
1. 0. 0. 0. 0. 1.
column 1 to 9
0. 0. 0. 1. 0. 4. 0.1025641 0.4102564 0.
0. 0. 1. 0. 0. 9. 0.2307692 0.9230769 1.
1. 0. 0. 1. 2. 20. 0.5128205 2.0512821 2.
0. 1. 0. 1. 1. 6. 0.1538462 0.6153846 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
2. 0. 0. 0. 1. 0.
1. 0. 0. 0. 1. 0.
1. 0. 0. 1. 0. 1.
column 1 to 9
0. 0. 1. 0. 0. 4. 0.1025641 0.4102564 0.
0. 0. 0. 1. 0. 9. 0.2307692 0.9230769 1.
0. 0. 1. 0. 2. 20. 0.5128205 2.0512821 2.
0. 1. 0. 1. 1. 6. 0.1538462 0.6153846 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
2. 0. 0. 0. 1. 0.
1. 0. 0. 0. 1. 0.
1. 0. 0. 1. 0. 1.
MCount = 2
mutation point at row = 2 col = 2
Mutation at cycle = 7
column 1 to 9
0. 0. 1. 0. 0. 4. 0.1025641 0.4102564 0.
0. 1. 0. 1. 0. 9. 0.2307692 0.9230769 1.
0. 0. 1. 0. 2. 20. 0.5128205 2.0512821 2.
0. 1. 0. 1. 1. 6. 0.1538462 0.6153846 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
2. 0. 0. 0. 1. 0.
1. 0. 0. 0. 1. 0.
1. 0. 0. 1. 0. 1.
cyc =
8.
New Numbers in POP
column 1 to 9
0. 0. 1. 0. 0. 4. 0.1025641 0.4102564 0.
0. 1. 0. 1. 1. 9. 0.2307692 0.9230769 1.
0. 0. 1. 0. 0. 20. 0.5128205 2.0512821 2.
0. 1. 0. 1. 1. 6. 0.1538462 0.6153846 1.
column 10 to 15
2. 0. 0. 0. 0. 1.
1. 0. 0. 0. 1. 0.
2. 0. 0. 0. 1. 0.
1. 0. 0. 1. 0. 1.
FITNESS_ALL = 25.000000
column 1 to 10
0. 0. 1. 0. 0. 4. 0.16 0.4102564 0. 2.
0. 1. 0. 1. 1. 10. 0.4 0.9230769 1. 1.
0. 0. 1. 0. 0. 10. 0.4 2.0512821 2. 2.
0. 1. 0. 1. 1. 1. 0.04 0.6153846 1. 1.
column 11 to 15
0. 0. 0. 0. 1.
0. 0. 0. 1. 0.
0. 0. 0. 1. 0.
0. 0. 1. 0. 1.
column 1 to 11
0. 0. 1. 0. 0. 4. 0.16 0.64 1. 2. 0.
0. 1. 0. 1. 1. 10. 0.4 1.6 2. 1. 0.
0. 0. 1. 0. 0. 10. 0.4 1.6 2. 2. 0.
0. 1. 0. 1. 1. 1. 0.04 0.16 0. 1. 0.
column 12 to 15
0. 0. 1. 0.
0. 0. 1. 0.
0. 1. 0. 1.
0. 1. 0. 1.
column 1 to 11
0. 1. 0. 1. 0. 4. 0.16 0.64 1. 2. 0.
0. 0. 1. 0. 1. 10. 0.4 1.6 2. 1. 0.
0. 0. 0. 1. 0. 10. 0.4 1.6 2. 2. 0.
0. 1. 1. 0. 1. 1. 0.04 0.16 0. 1. 0.
column 12 to 15
0. 0. 1. 0.
0. 0. 1. 0.
0. 1. 0. 1.
0. 1. 0. 1.
MCount = 1
cyc =
9.
New Numbers in POP
column 1 to 11
0. 1. 0. 1. 1. 4. 0.16 0.64 1. 1. 0.
0. 0. 1. 0. 0. 10. 0.4 1.6 2. 2. 0.
0. 0. 0. 1. 0. 10. 0.4 1.6 2. 1. 0.
0. 1. 1. 0. 1. 1. 0.04 0.16 0. 2. 0.
column 12 to 15
0. 0. 1. 0.
0. 0. 1. 0.
0. 1. 0. 1.
0. 1. 0. 1.
FITNESS_ALL = 26.000000
column 1 to 10
0. 1. 0. 1. 1. 8. 0.3076923 0.64 1. 1.
0. 0. 1. 0. 0. 7. 0.2692308 1.6 2. 2.
0. 0. 0. 1. 0. 6. 0.2307692 1.6 2. 1.
0. 1. 1. 0. 1. 5. 0.1923077 0.16 0. 2.
column 11 to 15
0. 0. 0. 1. 0.
0. 0. 0. 1. 0.
0. 0. 1. 0. 1.
0. 0. 1. 0. 1.
column 1 to 9
0. 1. 0. 1. 1. 8. 0.3076923 1.2307692 1.
0. 0. 1. 0. 0. 7. 0.2692308 1.0769231 1.
0. 0. 0. 1. 0. 6. 0.2307692 0.9230769 1.
0. 1. 1. 0. 1. 5. 0.1923077 0.7692308 1.
column 10 to 15
1. 0. 0. 1. 0. 1.
2. 0. 0. 0. 1. 0.
1. 0. 0. 0. 1. 0.
2. 0. 0. 1. 1. 0.
column 1 to 9
0. 1. 0. 1. 1. 8. 0.3076923 1.2307692 1.
0. 0. 1. 0. 0. 7. 0.2692308 1.0769231 1.
0. 0. 1. 0. 0. 6. 0.2307692 0.9230769 1.
0. 1. 1. 0. 1. 5. 0.1923077 0.7692308 1.
column 10 to 15
1. 0. 0. 1. 0. 1.
2. 0. 0. 0. 1. 0.
1. 0. 0. 0. 1. 0.
2. 0. 0. 1. 1. 0.
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 9
column 1 to 9
0. 1. 0. 1. 1. 8. 0.3076923 1.2307692 1.
1. 0. 1. 0. 0. 7. 0.2692308 1.0769231 1.
0. 0. 1. 0. 0. 6. 0.2307692 0.9230769 1.
0. 1. 1. 0. 1. 5. 0.1923077 0.7692308 1.
column 10 to 15
1. 0. 0. 1. 0. 1.
2. 0. 0. 0. 1. 0.
1. 0. 0. 0. 1. 0.
2. 0. 0. 1. 1. 0.
cyc =
10.
New Numbers in POP
column 1 to 9
0. 1. 0. 1. 1. 8. 0.3076923 1.2307692 1.
1. 0. 1. 0. 2. 7. 0.2692308 1.0769231 1.
0. 0. 1. 0. 0. 6. 0.2307692 0.9230769 1.
0. 1. 1. 0. 1. 5. 0.1923077 0.7692308 1.
column 10 to 15
1. 0. 0. 1. 0. 1.
2. 0. 0. 0. 1. 0.
2. 0. 0. 0. 1. 0.
2. 0. 0. 1. 1. 0.
FITNESS_ALL = 16.000000
column 1 to 10
0. 1. 0. 1. 1. 7. 0.4375 1.2307692 1. 1.
1. 0. 1. 0. 2. 1. 0.0625 1.0769231 1. 2.
0. 0. 1. 0. 0. 3. 0.1875 0.9230769 1. 2.
0. 1. 1. 0. 1. 5. 0.3125 0.7692308 1. 2.
column 11 to 15
0. 0. 1. 0. 1.
0. 0. 0. 1. 0.
0. 0. 0. 1. 0.
0. 0. 1. 1. 0.
column 1 to 11
0. 1. 0. 1. 1. 7. 0.4375 1.75 2. 1. 0.
1. 0. 1. 0. 2. 1. 0.0625 0.25 0. 2. 0.
0. 0. 1. 0. 0. 3. 0.1875 0.75 1. 2. 0.
0. 1. 1. 0. 1. 5. 0.3125 1.25 1. 2. 0.
column 12 to 15
0. 1. 0. 1.
1. 0. 1. 0.
1. 0. 1. 0.
0. 1. 1. 0.
column 1 to 11
0. 1. 1. 0. 1. 7. 0.4375 1.75 2. 1. 0.
1. 0. 0. 1. 2. 1. 0.0625 0.25 0. 2. 0.
1. 0. 1. 0. 0. 3. 0.1875 0.75 1. 2. 0.
0. 1. 1. 0. 1. 5. 0.3125 1.25 1. 2. 0.
column 12 to 15
0. 1. 0. 1.
1. 0. 1. 0.
1. 0. 1. 0.
0. 1. 1. 0.
MCount = 1
cyc =
11.
New Numbers in POP
column 1 to 11
0. 1. 1. 0. 1. 7. 0.4375 1.75 2. 2. 0.
1. 0. 0. 1. 2. 1. 0.0625 0.25 0. 1. 0.
1. 0. 1. 0. 2. 3. 0.1875 0.75 1. 2. 0.
0. 1. 1. 0. 1. 5. 0.3125 1.25 1. 2. 0.
column 12 to 15
0. 1. 0. 1.
1. 0. 1. 0.
1. 0. 1. 0.
0. 1. 1. 0.
FITNESS_ALL = 44.000000
column 1 to 10
0. 1. 1. 0. 1. 7. 0.1590909 1.75 2. 2.
1. 0. 0. 1. 2. 20. 0.4545455 0.25 0. 1.
1. 0. 1. 0. 2. 8. 0.1818182 0.75 1. 2.
0. 1. 1. 0. 1. 9. 0.2045455 1.25 1. 2.
column 11 to 15
0. 0. 1. 0. 1.
0. 1. 0. 1. 0.
0. 1. 0. 1. 0.
0. 0. 1. 1. 0.
column 1 to 9
0. 1. 1. 0. 1. 7. 0.1590909 0.6363636 1.
1. 0. 0. 1. 2. 20. 0.4545455 1.8181818 2.
1. 0. 1. 0. 2. 8. 0.1818182 0.7272727 1.
0. 1. 1. 0. 1. 9. 0.2045455 0.8181818 1.
column 10 to 15
2. 0. 0. 1. 1. 0.
1. 0. 0. 1. 1. 0.
2. 0. 1. 0. 0. 1.
2. 0. 0. 1. 1. 0.
column 1 to 9
0. 1. 1. 0. 1. 7. 0.1590909 0.6363636 1.
0. 1. 1. 0. 2. 20. 0.4545455 1.8181818 2.
0. 1. 1. 0. 2. 8. 0.1818182 0.7272727 1.
1. 0. 0. 1. 1. 9. 0.2045455 0.8181818 1.
column 10 to 15
2. 0. 0. 1. 1. 0.
1. 0. 0. 1. 1. 0.
2. 0. 1. 0. 0. 1.
2. 0. 0. 1. 1. 0.
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 11
column 1 to 9
0. 1. 1. 0. 1. 7. 0.1590909 0.6363636 1.
0. 1. 0. 0. 2. 20. 0.4545455 1.8181818 2.
0. 1. 1. 0. 2. 8. 0.1818182 0.7272727 1.
1. 0. 0. 1. 1. 9. 0.2045455 0.8181818 1.
column 10 to 15
2. 0. 0. 1. 1. 0.
1. 0. 0. 1. 1. 0.
2. 0. 1. 0. 0. 1.
2. 0. 0. 1. 1. 0.
cyc =
12.
New Numbers in POP
column 1 to 9
0. 1. 1. 0. 1. 7. 0.1590909 0.6363636 1.
0. 1. 0. 0. 1. 20. 0.4545455 1.8181818 2.
0. 1. 1. 0. 1. 8. 0.1818182 0.7272727 1.
1. 0. 0. 1. 2. 9. 0.2045455 0.8181818 1.
column 10 to 15
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
2. 0. 1. 0. 0. 1.
1. 0. 0. 1. 1. 0.
FITNESS_ALL = 33.000000
column 1 to 9
0. 1. 1. 0. 1. 1. 0.0303030 0.6363636 1.
0. 1. 0. 0. 1. 8. 0.2424242 1.8181818 2.
0. 1. 1. 0. 1. 4. 0.1212121 0.7272727 1.
1. 0. 0. 1. 2. 20. 0.6060606 0.8181818 1.
column 10 to 15
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
2. 0. 1. 0. 0. 1.
1. 0. 0. 1. 1. 0.
column 1 to 9
0. 1. 1. 0. 1. 1. 0.0303030 0.1212121 0.
0. 1. 0. 0. 1. 8. 0.2424242 0.9696970 1.
0. 1. 1. 0. 1. 4. 0.1212121 0.4848485 0.
1. 0. 0. 1. 2. 20. 0.6060606 2.4242424 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
1. 0. 1. 0. 0. 1.
column 1 to 9
0. 1. 1. 0. 1. 1. 0.0303030 0.1212121 0.
0. 1. 1. 0. 1. 8. 0.2424242 0.9696970 1.
1. 0. 1. 0. 1. 4. 0.1212121 0.4848485 0.
0. 1. 0. 1. 2. 20. 0.6060606 2.4242424 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
1. 0. 1. 0. 0. 1.
MCount = 1
cyc =
13.
New Numbers in POP
column 1 to 9
0. 1. 1. 0. 1. 1. 0.0303030 0.1212121 0.
0. 1. 1. 0. 1. 8. 0.2424242 0.9696970 1.
1. 0. 1. 0. 2. 4. 0.1212121 0.4848485 0.
0. 1. 0. 1. 1. 20. 0.6060606 2.4242424 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
1. 0. 1. 0. 0. 1.
FITNESS_ALL = 24.000000
column 1 to 9
0. 1. 1. 0. 1. 10. 0.4166667 0.1212121 0.
0. 1. 1. 0. 1. 4. 0.1666667 0.9696970 1.
1. 0. 1. 0. 2. 8. 0.3333333 0.4848485 0.
0. 1. 0. 1. 1. 2. 0.0833333 2.4242424 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
1. 0. 1. 0. 0. 1.
column 1 to 9
0. 1. 1. 0. 1. 10. 0.4166667 1.6666667 2.
0. 1. 1. 0. 1. 4. 0.1666667 0.6666667 1.
1. 0. 1. 0. 2. 8. 0.3333333 1.3333333 1.
0. 1. 0. 1. 1. 2. 0.0833333 0.3333333 0.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
1. 0. 0. 1. 0. 1.
column 1 to 9
0. 1. 0. 1. 1. 10. 0.4166667 1.6666667 2.
0. 1. 1. 0. 1. 4. 0.1666667 0.6666667 1.
0. 1. 1. 0. 2. 8. 0.3333333 1.3333333 1.
0. 1. 1. 0. 1. 2. 0.0833333 0.3333333 0.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
1. 0. 0. 1. 0. 1.
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 13
column 1 to 9
0. 1. 1. 1. 1. 10. 0.4166667 1.6666667 2.
0. 1. 1. 0. 1. 4. 0.1666667 0.6666667 1.
0. 1. 1. 0. 2. 8. 0.3333333 1.3333333 1.
0. 1. 1. 0. 1. 2. 0.0833333 0.3333333 0.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
1. 0. 0. 1. 0. 1.
cyc =
14.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 10. 0.4166667 1.6666667 2.
0. 1. 1. 0. 1. 4. 0.1666667 0.6666667 1.
0. 1. 1. 0. 1. 8. 0.3333333 1.3333333 1.
0. 1. 1. 0. 1. 2. 0.0833333 0.3333333 0.
column 10 to 15
3. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 0. 1.
FITNESS_ALL = 36.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.5555556 1.6666667 2.
0. 1. 1. 0. 1. 6. 0.1666667 0.6666667 1.
0. 1. 1. 0. 1. 1. 0.0277778 1.3333333 1.
0. 1. 1. 0. 1. 9. 0.25 0.3333333 0.
column 10 to 15
3. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 0. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.5555556 2.2222222 2.
0. 1. 1. 0. 1. 6. 0.1666667 0.6666667 1.
0. 1. 1. 0. 1. 1. 0.0277778 0.1111111 0.
0. 1. 1. 0. 1. 9. 0.25 1. 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 0.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.5555556 2.2222222 2.
0. 1. 1. 1. 1. 6. 0.1666667 0.6666667 1.
0. 1. 1. 0. 1. 1. 0.0277778 0.1111111 0.
0. 1. 1. 1. 1. 9. 0.25 1. 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 0.
MCount = 1
cyc =
15.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.5555556 2.2222222 2.
0. 1. 1. 1. 1. 6. 0.1666667 0.6666667 1.
0. 1. 1. 0. 1. 1. 0.0277778 0.1111111 0.
0. 1. 1. 1. 1. 9. 0.25 1. 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 0.
FITNESS_ALL = 68.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2941176 2.2222222 2.
0. 1. 1. 1. 1. 20. 0.2941176 0.6666667 1.
0. 1. 1. 0. 1. 8. 0.1176471 0.1111111 0.
0. 1. 1. 1. 1. 20. 0.2941176 1. 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 0.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 0. 1. 8. 0.1176471 0.4705882 0.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 8. 0.1176471 0.4705882 0.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 2
mutation point at row = 4 col = 3
Mutation at cycle = 15
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 8. 0.1176471 0.4705882 0.
0. 1. 0. 1. 1. 20. 0.2941176 1.1764706 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
cyc =
16.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 8. 0.1176471 0.4705882 0.
0. 1. 0. 1. 1. 20. 0.2941176 1.1764706 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
FITNESS_ALL = 69.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2898551 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2898551 0.4705882 0.
0. 1. 0. 1. 1. 9. 0.1304348 1.1764706 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 0. 1. 1. 9. 0.1304348 0.5217391 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 0. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 0. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 9. 0.1304348 0.5217391 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 0. 1.
MCount = 1
cyc =
17.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 0. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 9. 0.1304348 0.5217391 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 0. 1.
FITNESS_ALL = 67.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2985075 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1594203 1.
0. 1. 0. 1. 1. 7. 0.1044776 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2985075 0.5217391 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 0. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 0. 1. 1. 7. 0.1044776 0.4179104 0.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 7. 0.1044776 0.4179104 0.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 17
column 1 to 9
0. 0. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 7. 0.1044776 0.4179104 0.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
cyc =
18.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 7. 0.1044776 0.4179104 0.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 67.000000
column 1 to 9
0. 0. 1. 1. 0. 7. 0.1044776 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 0.4179104 0.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 7. 0.1044776 0.4179104 0.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 0. 7. 0.1044776 0.4179104 0.
0. 0. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 0. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 0. 1. 1. 1. 20. 0.2985075 1.1940299 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
19.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 7. 0.1044776 0.4179104 0.
0. 0. 1. 1. 0. 20. 0.2985075 1.1940299 1.
0. 0. 1. 1. 0. 20. 0.2985075 1.1940299 1.
0. 0. 1. 1. 0. 20. 0.2985075 1.1940299 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 31.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.6451613 0.4179104 0.
0. 0. 1. 1. 0. 2. 0.0645161 1.1940299 1.
0. 0. 1. 1. 0. 5. 0.1612903 1.1940299 1.
0. 0. 1. 1. 0. 4. 0.1290323 1.1940299 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.6451613 2.5806452 3.
0. 0. 1. 1. 0. 2. 0.0645161 0.2580645 0.
0. 0. 1. 1. 0. 5. 0.1612903 0.6451613 1.
0. 0. 1. 1. 0. 4. 0.1290323 0.5161290 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 1. 20. 0.6451613 2.5806452 3.
0. 1. 1. 1. 0. 2. 0.0645161 0.2580645 0.
0. 1. 1. 1. 0. 5. 0.1612903 0.6451613 1.
0. 1. 1. 1. 0. 4. 0.1290323 0.5161290 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 19
column 1 to 9
0. 0. 1. 1. 1. 20. 0.6451613 2.5806452 3.
0. 1. 0. 1. 0. 2. 0.0645161 0.2580645 0.
0. 1. 1. 1. 0. 5. 0.1612903 0.6451613 1.
0. 1. 1. 1. 0. 4. 0.1290323 0.5161290 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 0. 1. 1.
cyc =
20.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 20. 0.6451613 2.5806452 3.
0. 1. 0. 1. 1. 2. 0.0645161 0.2580645 0.
0. 1. 1. 1. 1. 5. 0.1612903 0.6451613 1.
0. 1. 1. 1. 1. 4. 0.1290323 0.5161290 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 55.000000
column 1 to 9
0. 0. 1. 1. 0. 8. 0.1454545 2.5806452 3.
0. 1. 0. 1. 1. 7. 0.1272727 0.2580645 0.
0. 1. 1. 1. 1. 20. 0.3636364 0.6451613 1.
0. 1. 1. 1. 1. 20. 0.3636364 0.5161290 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 8. 0.1454545 0.5818182 1.
0. 1. 0. 1. 1. 7. 0.1272727 0.5090909 1.
0. 1. 1. 1. 1. 20. 0.3636364 1.4545455 1.
0. 1. 1. 1. 1. 20. 0.3636364 1.4545455 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
1. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 8. 0.1454545 0.5818182 1.
0. 0. 1. 1. 1. 7. 0.1272727 0.5090909 1.
0. 0. 1. 1. 1. 20. 0.3636364 1.4545455 1.
0. 1. 1. 1. 1. 20. 0.3636364 1.4545455 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
1. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
21.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 8. 0.1454545 0.5818182 1.
0. 0. 1. 1. 0. 7. 0.1272727 0.5090909 1.
0. 0. 1. 1. 0. 20. 0.3636364 1.4545455 1.
0. 1. 1. 1. 1. 20. 0.3636364 1.4545455 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 37.000000
column 1 to 9
0. 0. 1. 1. 0. 7. 0.1891892 0.5818182 1.
0. 0. 1. 1. 0. 8. 0.2162162 0.5090909 1.
0. 0. 1. 1. 0. 2. 0.0540541 1.4545455 1.
0. 1. 1. 1. 1. 20. 0.5405405 1.4545455 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 7. 0.1891892 0.7567568 1.
0. 0. 1. 1. 0. 8. 0.2162162 0.8648649 1.
0. 0. 1. 1. 0. 2. 0.0540541 0.2162162 0.
0. 1. 1. 1. 1. 20. 0.5405405 2.1621622 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 0. 7. 0.1891892 0.7567568 1.
0. 0. 1. 1. 0. 8. 0.2162162 0.8648649 1.
0. 0. 1. 1. 0. 2. 0.0540541 0.2162162 0.
0. 0. 1. 1. 1. 20. 0.5405405 2.1621622 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 2
mutation point at row = 3 col = 1
Mutation at cycle = 21
column 1 to 9
0. 1. 1. 1. 0. 7. 0.1891892 0.7567568 1.
0. 0. 1. 1. 0. 8. 0.2162162 0.8648649 1.
1. 0. 1. 1. 0. 2. 0.0540541 0.2162162 0.
0. 0. 1. 1. 1. 20. 0.5405405 2.1621622 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
cyc =
22.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 7. 0.1891892 0.7567568 1.
0. 0. 1. 1. 0. 8. 0.2162162 0.8648649 1.
1. 0. 1. 1. 2. 2. 0.0540541 0.2162162 0.
0. 0. 1. 1. 0. 20. 0.5405405 2.1621622 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 31.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.6451613 0.7567568 1.
0. 0. 1. 1. 0. 2. 0.0645161 0.8648649 1.
1. 0. 1. 1. 2. 5. 0.1612903 0.2162162 0.
0. 0. 1. 1. 0. 4. 0.1290323 2.1621622 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.6451613 2.5806452 3.
0. 0. 1. 1. 0. 2. 0.0645161 0.2580645 0.
1. 0. 1. 1. 2. 5. 0.1612903 0.6451613 1.
0. 0. 1. 1. 0. 4. 0.1290323 0.5161290 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.6451613 2.5806452 3.
0. 1. 1. 1. 0. 2. 0.0645161 0.2580645 0.
0. 0. 1. 1. 2. 5. 0.1612903 0.6451613 1.
0. 1. 1. 1. 0. 4. 0.1290323 0.5161290 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 1
cyc =
23.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.6451613 2.5806452 3.
0. 1. 1. 1. 1. 2. 0.0645161 0.2580645 0.
0. 0. 1. 1. 0. 5. 0.1612903 0.6451613 1.
0. 1. 1. 1. 1. 4. 0.1290323 0.5161290 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 62.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3225806 2.5806452 3.
0. 1. 1. 1. 1. 20. 0.3225806 0.2580645 0.
0. 0. 1. 1. 0. 2. 0.0322581 0.6451613 1.
0. 1. 1. 1. 1. 20. 0.3225806 0.5161290 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 0. 1. 1. 0. 2. 0.0322581 0.1290323 0.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 0. 2. 0.0322581 0.1290323 0.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 23
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 0. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 0. 2. 0.0322581 0.1290323 0.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
cyc =
24.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 0. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 2. 0.0322581 0.1290323 0.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 68.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2941176 1.2903226 1.
0. 1. 0. 1. 1. 8. 0.1176471 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.2941176 0.1290323 0.
0. 1. 1. 1. 1. 20. 0.2941176 1.2903226 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 0. 1. 1. 8. 0.1176471 0.4705882 0.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 8. 0.1176471 0.4705882 0.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
25.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 8. 0.1176471 0.4705882 0.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 80.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.25 1.1764706 1. 3.
0. 1. 1. 1. 1. 20. 0.25 0.4705882 0. 3.
0. 1. 1. 1. 1. 20. 0.25 1.1764706 1. 3.
0. 1. 1. 1. 1. 20. 0.25 1.1764706 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
MCount = 2
mutation point at row = 4 col = 3
Mutation at cycle = 25
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 0. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
cyc =
26.
New Numbers in POP
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 0. 1. 1. 20. 0.25 1. 1. 1. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
FITNESS_ALL = 67.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.2985075 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.2985075 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.2985075 1. 1. 3.
0. 1. 0. 1. 1. 7. 0.1044776 1. 1. 1.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 0. 1. 1. 7. 0.1044776 0.4179104 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 0. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 0. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 7. 0.1044776 0.4179104 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 0. 1.
MCount = 1
cyc =
27.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 0. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 7. 0.1044776 0.4179104 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 0. 1.
FITNESS_ALL = 69.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2898551 1.1940299 1.
0. 1. 0. 1. 1. 9. 0.1304348 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2898551 0.4179104 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 0. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 0. 1. 1. 9. 0.1304348 0.5217391 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 9. 0.1304348 0.5217391 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 27
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
1. 1. 1. 1. 1. 9. 0.1304348 0.5217391 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
cyc =
28.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
1. 1. 1. 1. 3. 9. 0.1304348 0.5217391 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 62.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3225806 1.1594203 1.
1. 1. 1. 1. 3. 2. 0.0322581 0.5217391 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.1594203 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
1. 1. 1. 1. 3. 2. 0.0322581 0.1290323 0.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 3. 2. 0.0322581 0.1290323 0.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
29.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 2. 0.0322581 0.1290323 0.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 80.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.25 1.2903226 1. 3.
0. 1. 1. 1. 1. 20. 0.25 0.1290323 0. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2903226 1. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2903226 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 29
column 1 to 11
1. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
cyc =
30.
New Numbers in POP
column 1 to 11
1. 1. 1. 1. 3. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
FITNESS_ALL = 67.000000
column 1 to 10
1. 1. 1. 1. 3. 7. 0.1044776 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.2985075 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.2985075 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.2985075 1. 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 7. 0.1044776 0.4179104 0.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 7. 0.1044776 0.4179104 0.
1. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
1. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
31.
New Numbers in POP
column 1 to 9
1. 1. 1. 1. 3. 7. 0.1044776 0.4179104 0.
1. 1. 1. 1. 3. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
1. 1. 1. 1. 3. 20. 0.2985075 1.1940299 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 39.000000
column 1 to 9
1. 1. 1. 1. 3. 8. 0.2051282 0.4179104 0.
1. 1. 1. 1. 3. 8. 0.2051282 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.5128205 1.1940299 1.
1. 1. 1. 1. 3. 3. 0.0769231 1.1940299 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 8. 0.2051282 0.8205128 1.
1. 1. 1. 1. 3. 8. 0.2051282 0.8205128 1.
0. 1. 1. 1. 1. 20. 0.5128205 2.0512821 2.
1. 1. 1. 1. 3. 3. 0.0769231 0.3076923 0.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 8. 0.2051282 0.8205128 1.
1. 1. 1. 1. 3. 8. 0.2051282 0.8205128 1.
1. 1. 1. 1. 1. 20. 0.5128205 2.0512821 2.
1. 1. 1. 1. 3. 3. 0.0769231 0.3076923 0.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 31
column 1 to 9
1. 1. 1. 1. 3. 8. 0.2051282 0.8205128 1.
1. 1. 1. 1. 3. 8. 0.2051282 0.8205128 1.
1. 1. 1. 1. 1. 20. 0.5128205 2.0512821 2.
0. 1. 1. 1. 3. 3. 0.0769231 0.3076923 0.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
cyc =
32.
New Numbers in POP
column 1 to 9
1. 1. 1. 1. 3. 8. 0.2051282 0.8205128 1.
1. 1. 1. 1. 3. 8. 0.2051282 0.8205128 1.
1. 1. 1. 1. 3. 20. 0.5128205 2.0512821 2.
0. 1. 1. 1. 1. 3. 0.0769231 0.3076923 0.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
FITNESS_ALL = 41.000000
column 1 to 9
1. 1. 1. 1. 3. 3. 0.0731707 0.8205128 1.
1. 1. 1. 1. 3. 8. 0.1951220 0.8205128 1.
1. 1. 1. 1. 3. 10. 0.2439024 2.0512821 2.
0. 1. 1. 1. 1. 20. 0.4878049 0.3076923 0.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 3. 0.0731707 0.2926829 0.
1. 1. 1. 1. 3. 8. 0.1951220 0.7804878 1.
1. 1. 1. 1. 3. 10. 0.2439024 0.9756098 1.
0. 1. 1. 1. 1. 20. 0.4878049 1.9512195 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 3. 3. 0.0731707 0.2926829 0.
1. 1. 1. 1. 3. 8. 0.1951220 0.7804878 1.
1. 1. 1. 1. 3. 10. 0.2439024 0.9756098 1.
1. 1. 1. 1. 1. 20. 0.4878049 1.9512195 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
33.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 3. 0.0731707 0.2926829 0.
1. 1. 1. 1. 3. 8. 0.1951220 0.7804878 1.
1. 1. 1. 1. 3. 10. 0.2439024 0.9756098 1.
1. 1. 1. 1. 3. 20. 0.4878049 1.9512195 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 35.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.5714286 0.2926829 0.
1. 1. 1. 1. 3. 8. 0.2285714 0.7804878 1.
1. 1. 1. 1. 3. 4. 0.1142857 0.9756098 1.
1. 1. 1. 1. 3. 3. 0.0857143 1.9512195 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.5714286 2.2857143 2.
1. 1. 1. 1. 3. 8. 0.2285714 0.9142857 1.
1. 1. 1. 1. 3. 4. 0.1142857 0.4571429 0.
1. 1. 1. 1. 3. 3. 0.0857143 0.3428571 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.5714286 2.2857143 2.
0. 1. 1. 1. 3. 8. 0.2285714 0.9142857 1.
0. 1. 1. 1. 3. 4. 0.1142857 0.4571429 0.
1. 1. 1. 1. 3. 3. 0.0857143 0.3428571 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
MCount = 2
mutation point at row = 3 col = 1
Mutation at cycle = 33
column 1 to 9
0. 1. 1. 1. 1. 20. 0.5714286 2.2857143 2.
0. 1. 1. 1. 3. 8. 0.2285714 0.9142857 1.
1. 1. 1. 1. 3. 4. 0.1142857 0.4571429 0.
1. 1. 1. 1. 3. 3. 0.0857143 0.3428571 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
cyc =
34.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.5714286 2.2857143 2.
0. 1. 1. 1. 1. 8. 0.2285714 0.9142857 1.
1. 1. 1. 1. 3. 4. 0.1142857 0.4571429 0.
1. 1. 1. 1. 3. 3. 0.0857143 0.3428571 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
FITNESS_ALL = 51.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3921569 2.2857143 2.
0. 1. 1. 1. 1. 20. 0.3921569 0.9142857 1.
1. 1. 1. 1. 3. 9. 0.1764706 0.4571429 0.
1. 1. 1. 1. 3. 2. 0.0392157 0.3428571 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3921569 1.5686275 2.
0. 1. 1. 1. 1. 20. 0.3921569 1.5686275 2.
1. 1. 1. 1. 3. 9. 0.1764706 0.7058824 1.
1. 1. 1. 1. 3. 2. 0.0392157 0.1568627 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3921569 1.5686275 2.
0. 1. 1. 1. 1. 20. 0.3921569 1.5686275 2.
1. 1. 1. 1. 3. 9. 0.1764706 0.7058824 1.
0. 1. 1. 1. 3. 2. 0.0392157 0.1568627 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
MCount = 1
cyc =
35.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3921569 1.5686275 2.
0. 1. 1. 1. 1. 20. 0.3921569 1.5686275 2.
1. 1. 1. 1. 3. 9. 0.1764706 0.7058824 1.
0. 1. 1. 1. 1. 2. 0.0392157 0.1568627 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
FITNESS_ALL = 69.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2898551 1.5686275 2.
0. 1. 1. 1. 1. 20. 0.2898551 1.5686275 2.
1. 1. 1. 1. 3. 9. 0.1304348 0.7058824 1.
0. 1. 1. 1. 1. 20. 0.2898551 0.1568627 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
1. 1. 1. 1. 3. 9. 0.1304348 0.5217391 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 3. 9. 0.1304348 0.5217391 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 35
column 1 to 9
1. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 3. 9. 0.1304348 0.5217391 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
cyc =
36.
New Numbers in POP
column 1 to 9
1. 1. 1. 1. 3. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
0. 1. 1. 1. 1. 9. 0.1304348 0.5217391 1.
0. 1. 1. 1. 1. 20. 0.2898551 1.1594203 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 68.000000
column 1 to 9
1. 1. 1. 1. 3. 8. 0.1176471 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1594203 1.
0. 1. 1. 1. 1. 20. 0.2941176 0.5217391 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1594203 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 8. 0.1176471 0.4705882 0.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 8. 0.1176471 0.4705882 0.
1. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
1. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
37.
New Numbers in POP
column 1 to 9
1. 1. 1. 1. 3. 8. 0.1176471 0.4705882 0.
1. 1. 1. 1. 3. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
1. 1. 1. 1. 3. 20. 0.2941176 1.1764706 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 37.000000
column 1 to 9
1. 1. 1. 1. 3. 4. 0.1081081 0.4705882 0.
1. 1. 1. 1. 3. 8. 0.2162162 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.5405405 1.1764706 1.
1. 1. 1. 1. 3. 5. 0.1351351 1.1764706 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 4. 0.1081081 0.4324324 0.
1. 1. 1. 1. 3. 8. 0.2162162 0.8648649 1.
0. 1. 1. 1. 1. 20. 0.5405405 2.1621622 2.
1. 1. 1. 1. 3. 5. 0.1351351 0.5405405 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 4. 0.1081081 0.4324324 0.
1. 1. 1. 1. 3. 8. 0.2162162 0.8648649 1.
1. 1. 1. 1. 1. 20. 0.5405405 2.1621622 2.
1. 1. 1. 1. 3. 5. 0.1351351 0.5405405 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 37
column 1 to 9
1. 1. 0. 1. 3. 4. 0.1081081 0.4324324 0.
1. 1. 1. 1. 3. 8. 0.2162162 0.8648649 1.
1. 1. 1. 1. 1. 20. 0.5405405 2.1621622 2.
1. 1. 1. 1. 3. 5. 0.1351351 0.5405405 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
cyc =
38.
New Numbers in POP
column 1 to 9
1. 1. 0. 1. 3. 4. 0.1081081 0.4324324 0.
1. 1. 1. 1. 3. 8. 0.2162162 0.8648649 1.
1. 1. 1. 1. 3. 20. 0.5405405 2.1621622 2.
1. 1. 1. 1. 3. 5. 0.1351351 0.5405405 1.
column 10 to 15
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
FITNESS_ALL = 18.000000
column 1 to 9
1. 1. 0. 1. 3. 5. 0.2777778 0.4324324 0.
1. 1. 1. 1. 3. 6. 0.3333333 0.8648649 1.
1. 1. 1. 1. 3. 0. 0. 2.1621622 2.
1. 1. 1. 1. 3. 7. 0.3888889 0.5405405 1.
column 10 to 15
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 0. 1. 3. 5. 0.2777778 1.1111111 1.
1. 1. 1. 1. 3. 6. 0.3333333 1.3333333 1.
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 7. 0.3888889 1.5555556 2.
column 10 to 15
1. 0. 1. 1. 0. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 5. 0.2777778 1.1111111 1.
1. 1. 0. 1. 3. 6. 0.3333333 1.3333333 1.
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 7. 0.3888889 1.5555556 2.
column 10 to 15
1. 0. 1. 1. 0. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
MCount = 1
cyc =
39.
New Numbers in POP
column 1 to 9
1. 1. 1. 1. 3. 5. 0.2777778 1.1111111 1.
1. 1. 0. 1. 3. 6. 0.3333333 1.3333333 1.
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 7. 0.3888889 1.5555556 2.
column 10 to 15
3. 0. 1. 1. 0. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
FITNESS_ALL = 11.000000
column 1 to 9
1. 1. 1. 1. 3. 0. 0. 1.1111111 1.
1. 1. 0. 1. 3. 3. 0.2727273 1.3333333 1.
1. 1. 1. 1. 3. 3. 0.2727273 0. 0.
1. 1. 1. 1. 3. 5. 0.4545455 1.5555556 2.
column 10 to 15
3. 0. 1. 1. 0. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 0. 1. 3. 3. 0.2727273 1.0909091 1.
1. 1. 1. 1. 3. 3. 0.2727273 1.0909091 1.
1. 1. 1. 1. 3. 5. 0.4545455 1.8181818 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 3. 0.2727273 1.0909091 1.
1. 1. 1. 1. 3. 3. 0.2727273 1.0909091 1.
1. 1. 1. 1. 3. 5. 0.4545455 1.8181818 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 39
column 1 to 9
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 3. 0.2727273 1.0909091 1.
1. 1. 0. 1. 3. 3. 0.2727273 1.0909091 1.
1. 1. 1. 1. 3. 5. 0.4545455 1.8181818 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
cyc =
40.
New Numbers in POP
column 1 to 9
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 3. 0.2727273 1.0909091 1.
1. 1. 0. 1. 3. 3. 0.2727273 1.0909091 1.
1. 1. 1. 1. 3. 5. 0.4545455 1.8181818 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
FITNESS_ALL = 24.000000
column 1 to 9
1. 1. 1. 1. 3. 5. 0.2083333 0. 0.
1. 1. 1. 1. 3. 4. 0.1666667 1.0909091 1.
1. 1. 0. 1. 3. 7. 0.2916667 1.0909091 1.
1. 1. 1. 1. 3. 8. 0.3333333 1.8181818 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 5. 0.2083333 0.8333333 1.
1. 1. 1. 1. 3. 4. 0.1666667 0.6666667 1.
1. 1. 0. 1. 3. 7. 0.2916667 1.1666667 1.
1. 1. 1. 1. 3. 8. 0.3333333 1.3333333 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 5. 0.2083333 0.8333333 1.
1. 1. 1. 1. 3. 4. 0.1666667 0.6666667 1.
1. 1. 1. 1. 3. 7. 0.2916667 1.1666667 1.
1. 1. 1. 1. 3. 8. 0.3333333 1.3333333 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
MCount = 1
cyc =
41.
New Numbers in POP
column 1 to 9
1. 1. 1. 1. 3. 5. 0.2083333 0.8333333 1.
1. 1. 1. 1. 3. 4. 0.1666667 0.6666667 1.
1. 1. 1. 1. 3. 7. 0.2916667 1.1666667 1.
1. 1. 1. 1. 3. 8. 0.3333333 1.3333333 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
FITNESS_ALL = 30.000000
column 1 to 9
1. 1. 1. 1. 3. 7. 0.2333333 0.8333333 1.
1. 1. 1. 1. 3. 9. 0.3 0.6666667 1.
1. 1. 1. 1. 3. 7. 0.2333333 1.1666667 1.
1. 1. 1. 1. 3. 7. 0.2333333 1.3333333 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 7. 0.2333333 0.9333333 1.
1. 1. 1. 1. 3. 9. 0.3 1.2 1.
1. 1. 1. 1. 3. 7. 0.2333333 0.9333333 1.
1. 1. 1. 1. 3. 7. 0.2333333 0.9333333 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 7. 0.2333333 0.9333333 1.
1. 1. 1. 1. 3. 9. 0.3 1.2 1.
1. 1. 1. 1. 3. 7. 0.2333333 0.9333333 1.
1. 1. 1. 1. 3. 7. 0.2333333 0.9333333 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
MCount = 2
mutation point at row = 4 col = 3
Mutation at cycle = 41
column 1 to 9
1. 1. 1. 1. 3. 7. 0.2333333 0.9333333 1.
1. 1. 1. 1. 3. 9. 0.3 1.2 1.
1. 1. 1. 1. 3. 7. 0.2333333 0.9333333 1.
1. 1. 0. 1. 3. 7. 0.2333333 0.9333333 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
cyc =
42.
New Numbers in POP
column 1 to 9
1. 1. 1. 1. 3. 7. 0.2333333 0.9333333 1.
1. 1. 1. 1. 3. 9. 0.3 1.2 1.
1. 1. 1. 1. 3. 7. 0.2333333 0.9333333 1.
1. 1. 0. 1. 3. 7. 0.2333333 0.9333333 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 1. 1.
FITNESS_ALL = 22.000000
column 1 to 9
1. 1. 1. 1. 3. 5. 0.2272727 0.9333333 1.
1. 1. 1. 1. 3. 6. 0.2727273 1.2 1.
1. 1. 1. 1. 3. 9. 0.4090909 0.9333333 1.
1. 1. 0. 1. 3. 2. 0.0909091 0.9333333 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 5. 0.2272727 0.9090909 1.
1. 1. 1. 1. 3. 6. 0.2727273 1.0909091 1.
1. 1. 1. 1. 3. 9. 0.4090909 1.6363636 2.
1. 1. 0. 1. 3. 2. 0.0909091 0.3636364 0.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 0. 1.
column 1 to 9
1. 1. 0. 1. 3. 5. 0.2272727 0.9090909 1.
1. 1. 1. 1. 3. 6. 0.2727273 1.0909091 1.
1. 1. 1. 1. 3. 9. 0.4090909 1.6363636 2.
1. 1. 1. 1. 3. 2. 0.0909091 0.3636364 0.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 0. 1.
MCount = 1
cyc =
43.
New Numbers in POP
column 1 to 9
1. 1. 0. 1. 3. 5. 0.2272727 0.9090909 1.
1. 1. 1. 1. 3. 6. 0.2727273 1.0909091 1.
1. 1. 1. 1. 3. 9. 0.4090909 1.6363636 2.
1. 1. 1. 1. 3. 2. 0.0909091 0.3636364 0.
column 10 to 15
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 0. 1.
FITNESS_ALL = 18.000000
column 1 to 9
1. 1. 0. 1. 3. 6. 0.3333333 0.9090909 1.
1. 1. 1. 1. 3. 0. 0. 1.0909091 1.
1. 1. 1. 1. 3. 3. 0.1666667 1.6363636 2.
1. 1. 1. 1. 3. 9. 0.5 0.3636364 0.
column 10 to 15
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 0. 1.
column 1 to 9
1. 1. 0. 1. 3. 6. 0.3333333 1.3333333 1.
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 3. 0.1666667 0.6666667 1.
1. 1. 1. 1. 3. 9. 0.5 2. 2.
column 10 to 15
1. 0. 1. 1. 0. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 0. 1. 3. 6. 0.3333333 1.3333333 1.
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 3. 0.1666667 0.6666667 1.
1. 1. 1. 1. 3. 9. 0.5 2. 2.
column 10 to 15
1. 0. 1. 1. 0. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 43
column 1 to 9
1. 1. 0. 1. 3. 6. 0.3333333 1.3333333 1.
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 3. 0.1666667 0.6666667 1.
0. 1. 1. 1. 3. 9. 0.5 2. 2.
column 10 to 15
1. 0. 1. 1. 0. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
cyc =
44.
New Numbers in POP
column 1 to 9
1. 1. 0. 1. 3. 6. 0.3333333 1.3333333 1.
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 3. 0.1666667 0.6666667 1.
0. 1. 1. 1. 1. 9. 0.5 2. 2.
column 10 to 15
1. 0. 1. 1. 0. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
FITNESS_ALL = 26.000000
column 1 to 9
1. 1. 0. 1. 3. 1. 0.0384615 1.3333333 1.
1. 1. 1. 1. 3. 5. 0.1923077 0. 0.
1. 1. 1. 1. 3. 0. 0. 0.6666667 1.
0. 1. 1. 1. 1. 20. 0.7692308 2. 2.
column 10 to 15
1. 0. 1. 1. 0. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 0. 1. 3. 1. 0.0384615 0.1538462 0.
1. 1. 1. 1. 3. 5. 0.1923077 0.7692308 1.
1. 1. 1. 1. 3. 0. 0. 0. 0.
0. 1. 1. 1. 1. 20. 0.7692308 3.0769231 3.
column 10 to 15
1. 0. 1. 1. 0. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 1. 0.0384615 0.1538462 0.
1. 1. 0. 1. 3. 5. 0.1923077 0.7692308 1.
0. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 1. 20. 0.7692308 3.0769231 3.
column 10 to 15
1. 0. 1. 1. 0. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
45.
New Numbers in POP
column 1 to 9
1. 1. 1. 1. 3. 1. 0.0384615 0.1538462 0.
1. 1. 0. 1. 3. 5. 0.1923077 0.7692308 1.
0. 1. 1. 1. 1. 0. 0. 0. 0.
1. 1. 1. 1. 3. 20. 0.7692308 3.0769231 3.
column 10 to 15
3. 0. 1. 1. 0. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 33.000000
column 1 to 9
1. 1. 1. 1. 3. 5. 0.1515152 0.1538462 0.
1. 1. 0. 1. 3. 2. 0.0606061 0.7692308 1.
0. 1. 1. 1. 1. 20. 0.6060606 0. 0.
1. 1. 1. 1. 3. 6. 0.1818182 3.0769231 3.
column 10 to 15
3. 0. 1. 1. 0. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 5. 0.1515152 0.6060606 1.
1. 1. 0. 1. 3. 2. 0.0606061 0.2424242 0.
0. 1. 1. 1. 1. 20. 0.6060606 2.4242424 2.
1. 1. 1. 1. 3. 6. 0.1818182 0.7272727 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 5. 0.1515152 0.6060606 1.
1. 1. 1. 1. 3. 2. 0.0606061 0.2424242 0.
1. 1. 1. 1. 1. 20. 0.6060606 2.4242424 2.
1. 1. 1. 1. 3. 6. 0.1818182 0.7272727 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 45
column 1 to 9
1. 1. 1. 1. 3. 5. 0.1515152 0.6060606 1.
1. 1. 0. 1. 3. 2. 0.0606061 0.2424242 0.
1. 1. 1. 1. 1. 20. 0.6060606 2.4242424 2.
1. 1. 1. 1. 3. 6. 0.1818182 0.7272727 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
cyc =
46.
New Numbers in POP
column 1 to 9
1. 1. 1. 1. 3. 5. 0.1515152 0.6060606 1.
1. 1. 0. 1. 3. 2. 0.0606061 0.2424242 0.
1. 1. 1. 1. 3. 20. 0.6060606 2.4242424 2.
1. 1. 1. 1. 3. 6. 0.1818182 0.7272727 1.
column 10 to 15
3. 0. 1. 1. 1. 1.
1. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
FITNESS_ALL = 16.000000
column 1 to 10
1. 1. 1. 1. 3. 5. 0.3125 0.6060606 1. 3.
1. 1. 0. 1. 3. 2. 0.125 0.2424242 0. 1.
1. 1. 1. 1. 3. 5. 0.3125 2.4242424 2. 3.
1. 1. 1. 1. 3. 4. 0.25 0.7272727 1. 3.
column 11 to 15
0. 1. 1. 1. 1.
0. 1. 1. 1. 1.
0. 1. 1. 1. 1.
0. 1. 1. 1. 1.
column 1 to 11
1. 1. 1. 1. 3. 5. 0.3125 1.25 1. 3. 0.
1. 1. 0. 1. 3. 2. 0.125 0.5 1. 1. 0.
1. 1. 1. 1. 3. 5. 0.3125 1.25 1. 3. 0.
1. 1. 1. 1. 3. 4. 0.25 1. 1. 3. 0.
column 12 to 15
1. 1. 1. 1.
1. 1. 1. 1.
1. 1. 1. 1.
1. 1. 1. 1.
column 1 to 11
1. 1. 1. 1. 3. 5. 0.3125 1.25 1. 3. 0.
1. 1. 1. 1. 3. 2. 0.125 0.5 1. 1. 0.
1. 1. 1. 1. 3. 5. 0.3125 1.25 1. 3. 0.
1. 1. 1. 1. 3. 4. 0.25 1. 1. 3. 0.
column 12 to 15
1. 1. 1. 1.
1. 1. 1. 1.
1. 1. 1. 1.
1. 1. 1. 1.
MCount = 1
cyc =
47.
New Numbers in POP
column 1 to 11
1. 1. 1. 1. 3. 5. 0.3125 1.25 1. 3. 0.
1. 1. 1. 1. 3. 2. 0.125 0.5 1. 3. 0.
1. 1. 1. 1. 3. 5. 0.3125 1.25 1. 3. 0.
1. 1. 1. 1. 3. 4. 0.25 1. 1. 3. 0.
column 12 to 15
1. 1. 1. 1.
1. 1. 1. 1.
1. 1. 1. 1.
1. 1. 1. 1.
FITNESS_ALL = 15.000000
column 1 to 10
1. 1. 1. 1. 3. 3. 0.2 1.25 1. 3.
1. 1. 1. 1. 3. 5. 0.3333333 0.5 1. 3.
1. 1. 1. 1. 3. 0. 0. 1.25 1. 3.
1. 1. 1. 1. 3. 7. 0.4666667 1. 1. 3.
column 11 to 15
0. 1. 1. 1. 1.
0. 1. 1. 1. 1.
0. 1. 1. 1. 1.
0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 3. 0.2 0.8 1.
1. 1. 1. 1. 3. 5. 0.3333333 1.3333333 1.
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 7. 0.4666667 1.8666667 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 3. 0.2 0.8 1.
1. 1. 1. 1. 3. 5. 0.3333333 1.3333333 1.
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 7. 0.4666667 1.8666667 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 47
column 1 to 9
0. 1. 1. 1. 3. 3. 0.2 0.8 1.
1. 1. 1. 1. 3. 5. 0.3333333 1.3333333 1.
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 7. 0.4666667 1.8666667 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
cyc =
48.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 3. 0.2 0.8 1.
1. 1. 1. 1. 3. 5. 0.3333333 1.3333333 1.
1. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 1. 3. 7. 0.4666667 1.8666667 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
FITNESS_ALL = 32.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.625 0.8 1. 3.
1. 1. 1. 1. 3. 2. 0.0625 1.3333333 1. 3.
1. 1. 1. 1. 3. 0. 0. 0. 0. 3.
1. 1. 1. 1. 3. 10. 0.3125 1.8666667 2. 3.
column 11 to 15
0. 1. 1. 1. 1.
0. 1. 1. 1. 1.
0. 1. 1. 1. 1.
0. 1. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.625 2.5 3. 3. 0.
1. 1. 1. 1. 3. 2. 0.0625 0.25 0. 3. 0.
1. 1. 1. 1. 3. 0. 0. 0. 0. 3. 0.
1. 1. 1. 1. 3. 10. 0.3125 1.25 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
1. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.625 2.5 3. 3. 0.
0. 1. 1. 1. 3. 2. 0.0625 0.25 0. 3. 0.
0. 1. 1. 1. 3. 0. 0. 0. 0. 3. 0.
1. 1. 1. 1. 3. 10. 0.3125 1.25 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
1. 1. 1. 1.
MCount = 1
cyc =
49.
New Numbers in POP
column 1 to 11
0. 1. 1. 1. 1. 20. 0.625 2.5 3. 3. 0.
0. 1. 1. 1. 1. 2. 0.0625 0.25 0. 3. 0.
0. 1. 1. 1. 1. 0. 0. 0. 0. 3. 0.
1. 1. 1. 1. 3. 10. 0.3125 1.25 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
1. 1. 1. 1.
FITNESS_ALL = 65.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.3076923 2.5 3. 3.
0. 1. 1. 1. 1. 20. 0.3076923 0.25 0. 3.
0. 1. 1. 1. 1. 20. 0.3076923 0. 0. 3.
1. 1. 1. 1. 3. 5. 0.0769231 1.25 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 1. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
1. 1. 1. 1. 3. 5. 0.0769231 0.3076923 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
1. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 3. 5. 0.0769231 0.3076923 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 49
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
1. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 0. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 3. 5. 0.0769231 0.3076923 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
cyc =
50.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
1. 1. 1. 1. 3. 20. 0.3076923 1.2307692 1.
0. 1. 0. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 5. 0.0769231 0.3076923 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
FITNESS_ALL = 52.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3846154 1.2307692 1.
1. 1. 1. 1. 3. 6. 0.1153846 1.2307692 1.
0. 1. 0. 1. 1. 6. 0.1153846 1.2307692 1.
0. 1. 1. 1. 1. 20. 0.3846154 0.3076923 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3846154 1.5384615 2.
1. 1. 1. 1. 3. 6. 0.1153846 0.4615385 0.
0. 1. 0. 1. 1. 6. 0.1153846 0.4615385 0.
0. 1. 1. 1. 1. 20. 0.3846154 1.5384615 2.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3846154 1.5384615 2.
0. 1. 1. 1. 3. 6. 0.1153846 0.4615385 0.
0. 1. 1. 1. 1. 6. 0.1153846 0.4615385 0.
0. 1. 1. 1. 1. 20. 0.3846154 1.5384615 2.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
51.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3846154 1.5384615 2.
0. 1. 1. 1. 1. 6. 0.1153846 0.4615385 0.
0. 1. 1. 1. 1. 6. 0.1153846 0.4615385 0.
0. 1. 1. 1. 1. 20. 0.3846154 1.5384615 2.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 80.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.25 1.5384615 2. 3.
0. 1. 1. 1. 1. 20. 0.25 0.4615385 0. 3.
0. 1. 1. 1. 1. 20. 0.25 0.4615385 0. 3.
0. 1. 1. 1. 1. 20. 0.25 1.5384615 2. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 51
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
1. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
cyc =
52.
New Numbers in POP
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
1. 1. 1. 1. 3. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
FITNESS_ALL = 68.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.2941176 1. 1. 3.
1. 1. 1. 1. 3. 8. 0.1176471 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.2941176 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.2941176 1. 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
1. 1. 1. 1. 3. 8. 0.1176471 0.4705882 0.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 3. 8. 0.1176471 0.4705882 0.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
53.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 8. 0.1176471 0.4705882 0.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
0. 1. 1. 1. 1. 20. 0.2941176 1.1764706 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 80.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.25 1.1764706 1. 3.
0. 1. 1. 1. 1. 20. 0.25 0.4705882 0. 3.
0. 1. 1. 1. 1. 20. 0.25 1.1764706 1. 3.
0. 1. 1. 1. 1. 20. 0.25 1.1764706 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 53
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 0. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
cyc =
54.
New Numbers in POP
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 0. 1. 1. 20. 0.25 1. 1. 1. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
FITNESS_ALL = 63.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.3174603 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.3174603 1. 1. 3.
0. 1. 0. 1. 1. 3. 0.0476190 1. 1. 1.
0. 1. 1. 1. 1. 20. 0.3174603 1. 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
0. 1. 0. 1. 1. 3. 0.0476190 0.1904762 0.
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
0. 1. 1. 1. 1. 3. 0.0476190 0.1904762 0.
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
55.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
0. 1. 1. 1. 1. 3. 0.0476190 0.1904762 0.
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 80.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.25 1.2698413 1. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2698413 1. 3.
0. 1. 1. 1. 1. 20. 0.25 0.1904762 0. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2698413 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 55
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 0. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
cyc =
56.
New Numbers in POP
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 0. 1. 1. 20. 0.25 1. 1. 1. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
FITNESS_ALL = 65.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.3076923 1. 1. 3.
0. 1. 0. 1. 1. 5. 0.0769231 1. 1. 1.
0. 1. 1. 1. 1. 20. 0.3076923 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.3076923 1. 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 0. 1. 1. 5. 0.0769231 0.3076923 0.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 5. 0.0769231 0.3076923 0.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
57.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 5. 0.0769231 0.3076923 0.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 80.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.25 1.2307692 1. 3.
0. 1. 1. 1. 1. 20. 0.25 0.3076923 0. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2307692 1. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2307692 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 57
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 0. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
cyc =
58.
New Numbers in POP
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 0. 1. 1. 20. 0.25 1. 1. 1. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
FITNESS_ALL = 63.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.3174603 1. 1. 3.
0. 1. 0. 1. 1. 3. 0.0476190 1. 1. 1.
0. 1. 1. 1. 1. 20. 0.3174603 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.3174603 1. 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
0. 1. 0. 1. 1. 3. 0.0476190 0.1904762 0.
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
0. 1. 1. 1. 1. 3. 0.0476190 0.1904762 0.
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
59.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
0. 1. 1. 1. 1. 3. 0.0476190 0.1904762 0.
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
0. 1. 1. 1. 1. 20. 0.3174603 1.2698413 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 80.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.25 1.2698413 1. 3.
0. 1. 1. 1. 1. 20. 0.25 0.1904762 0. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2698413 1. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2698413 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
MCount = 2
mutation point at row = 2 col = 4
Mutation at cycle = 59
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 0. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
cyc =
60.
New Numbers in POP
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 0. 1. 20. 0.25 1. 1. 2. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
FITNESS_ALL = 66.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.3030303 1. 1. 3.
0. 1. 1. 0. 1. 6. 0.0909091 1. 1. 2.
0. 1. 1. 1. 1. 20. 0.3030303 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.3030303 1. 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
0. 1. 1. 0. 1. 6. 0.0909091 0.3636364 0.
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
0. 1. 1. 1. 1. 6. 0.0909091 0.3636364 0.
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
61.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
0. 1. 1. 1. 1. 6. 0.0909091 0.3636364 0.
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 80.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.25 1.2121212 1. 3.
0. 1. 1. 1. 1. 20. 0.25 0.3636364 0. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2121212 1. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2121212 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 61
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
1. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
cyc =
62.
New Numbers in POP
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
1. 1. 1. 1. 3. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
FITNESS_ALL = 66.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.3030303 1. 1. 3.
1. 1. 1. 1. 3. 6. 0.0909091 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.3030303 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.3030303 1. 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
1. 1. 1. 1. 3. 6. 0.0909091 0.3636364 0.
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
0. 1. 1. 1. 3. 6. 0.0909091 0.3636364 0.
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
63.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
0. 1. 1. 1. 1. 6. 0.0909091 0.3636364 0.
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
0. 1. 1. 1. 1. 20. 0.3030303 1.2121212 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 80.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.25 1.2121212 1. 3.
0. 1. 1. 1. 1. 20. 0.25 0.3636364 0. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2121212 1. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2121212 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
MCount = 2
mutation point at row = 4 col = 4
Mutation at cycle = 63
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 0. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
cyc =
64.
New Numbers in POP
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 0. 1. 20. 0.25 1. 1. 2. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
FITNESS_ALL = 61.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.3278689 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.3278689 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.3278689 1. 1. 3.
0. 1. 1. 0. 1. 1. 0.0163934 1. 1. 2.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 0. 1. 1. 0.0163934 0.0655738 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 0.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 0. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 1. 1. 1. 0.0163934 0.0655738 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 0.
MCount = 1
cyc =
65.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 0. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 1. 1. 1. 0.0163934 0.0655738 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 0.
FITNESS_ALL = 61.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 0. 1. 1. 0.0163934 1.3114754 1.
0. 1. 1. 1. 1. 20. 0.3278689 0.0655738 0.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 0.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 0. 1. 1. 0.0163934 0.0655738 0.
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 1. 1. 1. 0.0163934 0.0655738 0.
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 65
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 0. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 1. 1. 1. 0.0163934 0.0655738 0.
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
2. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
cyc =
66.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 0. 1. 1. 20. 0.3278689 1.3114754 1.
0. 1. 1. 1. 1. 1. 0.0163934 0.0655738 0.
0. 1. 1. 1. 1. 20. 0.3278689 1.3114754 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 62.000000
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3225806 1.3114754 1.
0. 1. 0. 1. 1. 2. 0.0322581 1.3114754 1.
0. 1. 1. 1. 1. 20. 0.3225806 0.0655738 0.
0. 1. 1. 1. 1. 20. 0.3225806 1.3114754 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 0. 1. 1. 2. 0.0322581 0.1290323 0.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 2. 0.0322581 0.1290323 0.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
67.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 2. 0.0322581 0.1290323 0.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 80.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.25 1.2903226 1. 3.
0. 1. 1. 1. 1. 20. 0.25 0.1290323 0. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2903226 1. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2903226 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 67
column 1 to 11
0. 1. 0. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
cyc =
68.
New Numbers in POP
column 1 to 11
0. 1. 0. 1. 1. 20. 0.25 1. 1. 1. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
FITNESS_ALL = 67.000000
column 1 to 10
0. 1. 0. 1. 1. 7. 0.1044776 1. 1. 1.
0. 1. 1. 1. 1. 20. 0.2985075 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.2985075 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.2985075 1. 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 9
0. 1. 0. 1. 1. 7. 0.1044776 0.4179104 0.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
column 10 to 15
1. 0. 0. 1. 0. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 7. 0.1044776 0.4179104 0.
0. 1. 0. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
column 10 to 15
1. 0. 0. 1. 0. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
69.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 7. 0.1044776 0.4179104 0.
0. 1. 0. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
0. 1. 1. 1. 1. 20. 0.2985075 1.1940299 1.
column 10 to 15
3. 0. 0. 1. 0. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 64.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.3125 0.4179104 0. 3.
0. 1. 0. 1. 1. 4. 0.0625 1.1940299 1. 1.
0. 1. 1. 1. 1. 20. 0.3125 1.1940299 1. 3.
0. 1. 1. 1. 1. 20. 0.3125 1.1940299 1. 3.
column 11 to 15
0. 0. 1. 0. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.3125 1.25 1. 3. 0.
0. 1. 0. 1. 1. 4. 0.0625 0.25 0. 1. 0.
0. 1. 1. 1. 1. 20. 0.3125 1.25 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.3125 1.25 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.3125 1.25 1. 3. 0.
0. 1. 1. 1. 1. 4. 0.0625 0.25 0. 1. 0.
0. 1. 1. 1. 1. 20. 0.3125 1.25 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.3125 1.25 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 69
column 1 to 11
0. 1. 1. 1. 1. 20. 0.3125 1.25 1. 3. 0.
0. 1. 0. 1. 1. 4. 0.0625 0.25 0. 1. 0.
0. 1. 1. 1. 1. 20. 0.3125 1.25 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.3125 1.25 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
cyc =
70.
New Numbers in POP
column 1 to 11
0. 1. 1. 1. 1. 20. 0.3125 1.25 1. 3. 0.
0. 1. 0. 1. 1. 4. 0.0625 0.25 0. 1. 0.
0. 1. 1. 1. 1. 20. 0.3125 1.25 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.3125 1.25 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
FITNESS_ALL = 65.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.3076923 1.25 1. 3.
0. 1. 0. 1. 1. 5. 0.0769231 0.25 0. 1.
0. 1. 1. 1. 1. 20. 0.3076923 1.25 1. 3.
0. 1. 1. 1. 1. 20. 0.3076923 1.25 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 0. 1. 1. 5. 0.0769231 0.3076923 0.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 5. 0.0769231 0.3076923 0.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
1. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
71.
New Numbers in POP
column 1 to 9
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 5. 0.0769231 0.3076923 0.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
0. 1. 1. 1. 1. 20. 0.3076923 1.2307692 1.
column 10 to 15
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 80.000000
column 1 to 10
0. 1. 1. 1. 1. 20. 0.25 1.2307692 1. 3.
0. 1. 1. 1. 1. 20. 0.25 0.3076923 0. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2307692 1. 3.
0. 1. 1. 1. 1. 20. 0.25 1.2307692 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
column 1 to 11
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 71
column 1 to 11
0. 0. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
cyc =
72.
New Numbers in POP
column 1 to 11
0. 0. 1. 1. 0. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
0. 1. 1. 1. 1. 20. 0.25 1. 1. 3. 0.
column 12 to 15
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
0. 1. 1. 1.
FITNESS_ALL = 62.000000
column 1 to 10
0. 0. 1. 1. 0. 2. 0.0322581 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.3225806 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.3225806 1. 1. 3.
0. 1. 1. 1. 1. 20. 0.3225806 1. 1. 3.
column 11 to 15
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
0. 0. 1. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 2. 0.0322581 0.1290323 0.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 2. 0.0322581 0.1290323 0.
0. 0. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 0. 1. 1. 1. 20. 0.3225806 1.2903226 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
MCount = 1
cyc =
73.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 2. 0.0322581 0.1290323 0.
0. 0. 1. 1. 0. 20. 0.3225806 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.3225806 1.2903226 1.
0. 0. 1. 1. 0. 20. 0.3225806 1.2903226 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
FITNESS_ALL = 38.000000
column 1 to 9
0. 0. 1. 1. 0. 2. 0.0526316 0.1290323 0.
0. 0. 1. 1. 0. 9. 0.2368421 1.2903226 1.
0. 1. 1. 1. 1. 20. 0.5263158 1.2903226 1.
0. 0. 1. 1. 0. 7. 0.1842105 1.2903226 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 2. 0.0526316 0.2105263 0.
0. 0. 1. 1. 0. 9. 0.2368421 0.9473684 1.
0. 1. 1. 1. 1. 20. 0.5263158 2.1052632 2.
0. 0. 1. 1. 0. 7. 0.1842105 0.7368421 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 2. 0.0526316 0.2105263 0.
0. 0. 1. 1. 0. 9. 0.2368421 0.9473684 1.
0. 0. 1. 1. 1. 20. 0.5263158 2.1052632 2.
0. 0. 1. 1. 0. 7. 0.1842105 0.7368421 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 2
mutation point at row = 4 col = 4
Mutation at cycle = 73
column 1 to 9
0. 0. 1. 1. 0. 2. 0.0526316 0.2105263 0.
0. 0. 1. 1. 0. 9. 0.2368421 0.9473684 1.
0. 0. 1. 1. 1. 20. 0.5263158 2.1052632 2.
0. 0. 1. 0. 0. 7. 0.1842105 0.7368421 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
cyc =
74.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 2. 0.0526316 0.2105263 0.
0. 0. 1. 1. 0. 9. 0.2368421 0.9473684 1.
0. 0. 1. 1. 0. 20. 0.5263158 2.1052632 2.
0. 0. 1. 0. 0. 7. 0.1842105 0.7368421 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
FITNESS_ALL = 15.000000
column 1 to 9
0. 0. 1. 1. 0. 4. 0.2666667 0.2105263 0.
0. 0. 1. 1. 0. 5. 0.3333333 0.9473684 1.
0. 0. 1. 1. 0. 6. 0.4 2.1052632 2.
0. 0. 1. 0. 0. 0. 0. 0.7368421 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
0. 0. 1. 1. 0. 5. 0.3333333 1.3333333 1.
0. 0. 1. 1. 0. 6. 0.4 1.6 2.
0. 0. 1. 0. 0. 0. 0. 0. 0.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
column 1 to 9
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
0. 0. 1. 1. 0. 5. 0.3333333 1.3333333 1.
0. 0. 1. 1. 0. 6. 0.4 1.6 2.
0. 0. 1. 0. 0. 0. 0. 0. 0.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
MCount = 1
cyc =
75.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
0. 0. 1. 1. 0. 5. 0.3333333 1.3333333 1.
0. 0. 1. 1. 0. 6. 0.4 1.6 2.
0. 0. 1. 0. 0. 0. 0. 0. 0.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
FITNESS_ALL = 23.000000
column 1 to 9
0. 0. 1. 1. 0. 7. 0.3043478 1.0666667 1.
0. 0. 1. 1. 0. 4. 0.1739130 1.3333333 1.
0. 0. 1. 1. 0. 7. 0.3043478 1.6 2.
0. 0. 1. 0. 0. 5. 0.2173913 0. 0.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
column 1 to 9
0. 0. 1. 1. 0. 7. 0.3043478 1.2173913 1.
0. 0. 1. 1. 0. 4. 0.1739130 0.6956522 1.
0. 0. 1. 1. 0. 7. 0.3043478 1.2173913 1.
0. 0. 1. 0. 0. 5. 0.2173913 0.8695652 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
column 1 to 9
0. 0. 1. 1. 0. 7. 0.3043478 1.2173913 1.
0. 0. 1. 0. 0. 4. 0.1739130 0.6956522 1.
0. 0. 1. 1. 0. 7. 0.3043478 1.2173913 1.
0. 0. 1. 1. 0. 5. 0.2173913 0.8695652 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 75
column 1 to 9
1. 0. 1. 1. 0. 7. 0.3043478 1.2173913 1.
0. 0. 1. 0. 0. 4. 0.1739130 0.6956522 1.
0. 0. 1. 1. 0. 7. 0.3043478 1.2173913 1.
0. 0. 1. 1. 0. 5. 0.2173913 0.8695652 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
cyc =
76.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 7. 0.3043478 1.2173913 1.
0. 0. 1. 0. 0. 4. 0.1739130 0.6956522 1.
0. 0. 1. 1. 0. 7. 0.3043478 1.2173913 1.
0. 0. 1. 1. 0. 5. 0.2173913 0.8695652 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 0.
FITNESS_ALL = 14.000000
column 1 to 9
1. 0. 1. 1. 2. 2. 0.1428571 1.2173913 1.
0. 0. 1. 0. 0. 7. 0.5 0.6956522 1.
0. 0. 1. 1. 0. 3. 0.2142857 1.2173913 1.
0. 0. 1. 1. 0. 2. 0.1428571 0.8695652 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 0.
column 1 to 9
1. 0. 1. 1. 2. 2. 0.1428571 0.5714286 1.
0. 0. 1. 0. 0. 7. 0.5 2. 2.
0. 0. 1. 1. 0. 3. 0.2142857 0.8571429 1.
0. 0. 1. 1. 0. 2. 0.1428571 0.5714286 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
2. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 2. 0.1428571 0.5714286 1.
1. 0. 1. 1. 0. 7. 0.5 2. 2.
1. 0. 1. 1. 0. 3. 0.2142857 0.8571429 1.
0. 0. 1. 1. 0. 2. 0.1428571 0.5714286 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
2. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 1
cyc =
77.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 2. 0.1428571 0.5714286 1.
1. 0. 1. 1. 2. 7. 0.5 2. 2.
1. 0. 1. 1. 2. 3. 0.2142857 0.8571429 1.
0. 0. 1. 1. 0. 2. 0.1428571 0.5714286 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 24.000000
column 1 to 9
1. 0. 1. 1. 2. 1. 0.0416667 0.5714286 1.
1. 0. 1. 1. 2. 6. 0.25 2. 2.
1. 0. 1. 1. 2. 8. 0.3333333 0.8571429 1.
0. 0. 1. 1. 0. 9. 0.375 0.5714286 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 1. 0.0416667 0.1666667 0.
1. 0. 1. 1. 2. 6. 0.25 1. 1.
1. 0. 1. 1. 2. 8. 0.3333333 1.3333333 1.
0. 0. 1. 1. 0. 9. 0.375 1.5 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 1. 0.0416667 0.1666667 0.
1. 0. 1. 1. 2. 6. 0.25 1. 1.
1. 0. 1. 1. 2. 8. 0.3333333 1.3333333 1.
0. 0. 1. 1. 0. 9. 0.375 1.5 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 77
column 1 to 9
1. 0. 1. 1. 2. 1. 0.0416667 0.1666667 0.
1. 0. 1. 1. 2. 6. 0.25 1. 1.
1. 0. 0. 1. 2. 8. 0.3333333 1.3333333 1.
0. 0. 1. 1. 0. 9. 0.375 1.5 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
cyc =
78.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 1. 0.0416667 0.1666667 0.
1. 0. 1. 1. 2. 6. 0.25 1. 1.
1. 0. 0. 1. 2. 8. 0.3333333 1.3333333 1.
0. 0. 1. 1. 0. 9. 0.375 1.5 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 36.000000
column 1 to 9
1. 0. 1. 1. 2. 6. 0.1666667 0.1666667 0.
1. 0. 1. 1. 2. 9. 0.25 1. 1.
1. 0. 0. 1. 2. 20. 0.5555556 1.3333333 1.
0. 0. 1. 1. 0. 1. 0.0277778 1.5 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 6. 0.1666667 0.6666667 1.
1. 0. 1. 1. 2. 9. 0.25 1. 1.
1. 0. 0. 1. 2. 20. 0.5555556 2.2222222 2.
0. 0. 1. 1. 0. 1. 0.0277778 0.1111111 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 6. 0.1666667 0.6666667 1.
1. 0. 1. 1. 2. 9. 0.25 1. 1.
0. 0. 1. 1. 2. 20. 0.5555556 2.2222222 2.
1. 0. 1. 1. 0. 1. 0.0277778 0.1111111 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 1
cyc =
79.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 6. 0.1666667 0.6666667 1.
1. 0. 1. 1. 2. 9. 0.25 1. 1.
0. 0. 1. 1. 0. 20. 0.5555556 2.2222222 2.
1. 0. 1. 1. 2. 1. 0.0277778 0.1111111 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 22.000000
column 1 to 9
1. 0. 1. 1. 2. 9. 0.4090909 0.6666667 1.
1. 0. 1. 1. 2. 2. 0.0909091 1. 1.
0. 0. 1. 1. 0. 2. 0.0909091 2.2222222 2.
1. 0. 1. 1. 2. 9. 0.4090909 0.1111111 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 9. 0.4090909 1.6363636 2.
1. 0. 1. 1. 2. 2. 0.0909091 0.3636364 0.
0. 0. 1. 1. 0. 2. 0.0909091 0.3636364 0.
1. 0. 1. 1. 2. 9. 0.4090909 1.6363636 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 9. 0.4090909 1.6363636 2.
1. 0. 1. 1. 2. 2. 0.0909091 0.3636364 0.
1. 0. 1. 1. 0. 2. 0.0909091 0.3636364 0.
1. 0. 1. 1. 2. 9. 0.4090909 1.6363636 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 79
column 1 to 9
1. 0. 1. 1. 2. 9. 0.4090909 1.6363636 2.
1. 0. 1. 1. 2. 2. 0.0909091 0.3636364 0.
1. 0. 1. 1. 0. 2. 0.0909091 0.3636364 0.
0. 0. 1. 1. 2. 9. 0.4090909 1.6363636 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
cyc =
80.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 9. 0.4090909 1.6363636 2.
1. 0. 1. 1. 2. 2. 0.0909091 0.3636364 0.
1. 0. 1. 1. 2. 2. 0.0909091 0.3636364 0.
0. 0. 1. 1. 0. 9. 0.4090909 1.6363636 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
FITNESS_ALL = 26.000000
column 1 to 9
1. 0. 1. 1. 2. 10. 0.3846154 1.6363636 2.
1. 0. 1. 1. 2. 5. 0.1923077 0.3636364 0.
1. 0. 1. 1. 2. 9. 0.3461538 0.3636364 0.
0. 0. 1. 1. 0. 2. 0.0769231 1.6363636 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 10. 0.3846154 1.5384615 2.
1. 0. 1. 1. 2. 5. 0.1923077 0.7692308 1.
1. 0. 1. 1. 2. 9. 0.3461538 1.3846154 1.
0. 0. 1. 1. 0. 2. 0.0769231 0.3076923 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 10. 0.3846154 1.5384615 2.
1. 0. 1. 1. 2. 5. 0.1923077 0.7692308 1.
1. 0. 1. 1. 2. 9. 0.3461538 1.3846154 1.
0. 0. 1. 1. 0. 2. 0.0769231 0.3076923 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 1
cyc =
81.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 10. 0.3846154 1.5384615 2.
1. 0. 1. 1. 2. 5. 0.1923077 0.7692308 1.
1. 0. 1. 1. 2. 9. 0.3461538 1.3846154 1.
0. 0. 1. 1. 0. 2. 0.0769231 0.3076923 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 21.000000
column 1 to 9
1. 0. 1. 1. 2. 6. 0.2857143 1.5384615 2.
1. 0. 1. 1. 2. 4. 0.1904762 0.7692308 1.
1. 0. 1. 1. 2. 8. 0.3809524 1.3846154 1.
0. 0. 1. 1. 0. 3. 0.1428571 0.3076923 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 6. 0.2857143 1.1428571 1.
1. 0. 1. 1. 2. 4. 0.1904762 0.7619048 1.
1. 0. 1. 1. 2. 8. 0.3809524 1.5238095 2.
0. 0. 1. 1. 0. 3. 0.1428571 0.5714286 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 6. 0.2857143 1.1428571 1.
1. 0. 1. 1. 2. 4. 0.1904762 0.7619048 1.
0. 0. 1. 1. 2. 8. 0.3809524 1.5238095 2.
1. 0. 1. 1. 0. 3. 0.1428571 0.5714286 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 81
column 1 to 9
1. 0. 1. 1. 2. 6. 0.2857143 1.1428571 1.
1. 0. 0. 1. 2. 4. 0.1904762 0.7619048 1.
0. 0. 1. 1. 2. 8. 0.3809524 1.5238095 2.
1. 0. 1. 1. 0. 3. 0.1428571 0.5714286 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
cyc =
82.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 6. 0.2857143 1.1428571 1.
1. 0. 0. 1. 2. 4. 0.1904762 0.7619048 1.
0. 0. 1. 1. 0. 8. 0.3809524 1.5238095 2.
1. 0. 1. 1. 2. 3. 0.1428571 0.5714286 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 34.000000
column 1 to 9
1. 0. 1. 1. 2. 8. 0.2352941 1.1428571 1.
1. 0. 0. 1. 2. 20. 0.5882353 0.7619048 1.
0. 0. 1. 1. 0. 3. 0.0882353 1.5238095 2.
1. 0. 1. 1. 2. 3. 0.0882353 0.5714286 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 8. 0.2352941 0.9411765 1.
1. 0. 0. 1. 2. 20. 0.5882353 2.3529412 2.
0. 0. 1. 1. 0. 3. 0.0882353 0.3529412 0.
1. 0. 1. 1. 2. 3. 0.0882353 0.3529412 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 8. 0.2352941 0.9411765 1.
1. 0. 1. 1. 2. 20. 0.5882353 2.3529412 2.
1. 0. 1. 1. 0. 3. 0.0882353 0.3529412 0.
1. 0. 1. 1. 2. 3. 0.0882353 0.3529412 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
MCount = 1
cyc =
83.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 8. 0.2352941 0.9411765 1.
1. 0. 1. 1. 2. 20. 0.5882353 2.3529412 2.
1. 0. 1. 1. 2. 3. 0.0882353 0.3529412 0.
1. 0. 1. 1. 2. 3. 0.0882353 0.3529412 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
FITNESS_ALL = 19.000000
column 1 to 9
1. 0. 1. 1. 2. 2. 0.1052632 0.9411765 1.
1. 0. 1. 1. 2. 1. 0.0526316 2.3529412 2.
1. 0. 1. 1. 2. 8. 0.4210526 0.3529412 0.
1. 0. 1. 1. 2. 8. 0.4210526 0.3529412 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 2. 0.1052632 0.4210526 0.
1. 0. 1. 1. 2. 1. 0.0526316 0.2105263 0.
1. 0. 1. 1. 2. 8. 0.4210526 1.6842105 2.
1. 0. 1. 1. 2. 8. 0.4210526 1.6842105 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 2. 0.1052632 0.4210526 0.
1. 0. 1. 1. 2. 1. 0.0526316 0.2105263 0.
1. 0. 1. 1. 2. 8. 0.4210526 1.6842105 2.
1. 0. 1. 1. 2. 8. 0.4210526 1.6842105 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
MCount = 2
mutation point at row = 3 col = 2
Mutation at cycle = 83
column 1 to 9
1. 0. 1. 1. 2. 2. 0.1052632 0.4210526 0.
1. 0. 1. 1. 2. 1. 0.0526316 0.2105263 0.
1. 1. 1. 1. 2. 8. 0.4210526 1.6842105 2.
1. 0. 1. 1. 2. 8. 0.4210526 1.6842105 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
cyc =
84.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 2. 0.1052632 0.4210526 0.
1. 0. 1. 1. 2. 1. 0.0526316 0.2105263 0.
1. 1. 1. 1. 3. 8. 0.4210526 1.6842105 2.
1. 0. 1. 1. 2. 8. 0.4210526 1.6842105 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
FITNESS_ALL = 15.000000
column 1 to 9
1. 0. 1. 1. 2. 3. 0.2 0.4210526 0.
1. 0. 1. 1. 2. 3. 0.2 0.2105263 0.
1. 1. 1. 1. 3. 2. 0.1333333 1.6842105 2.
1. 0. 1. 1. 2. 7. 0.4666667 1.6842105 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 3. 0.2 0.8 1.
1. 0. 1. 1. 2. 3. 0.2 0.8 1.
1. 1. 1. 1. 3. 2. 0.1333333 0.5333333 1.
1. 0. 1. 1. 2. 7. 0.4666667 1.8666667 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 3. 0.2 0.8 1.
1. 0. 1. 1. 2. 3. 0.2 0.8 1.
1. 0. 1. 1. 3. 2. 0.1333333 0.5333333 1.
1. 0. 1. 1. 2. 7. 0.4666667 1.8666667 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
MCount = 1
cyc =
85.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 3. 0.2 0.8 1.
1. 0. 1. 1. 2. 3. 0.2 0.8 1.
1. 0. 1. 1. 2. 2. 0.1333333 0.5333333 1.
1. 0. 1. 1. 2. 7. 0.4666667 1.8666667 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
FITNESS_ALL = 27.000000
column 1 to 9
1. 0. 1. 1. 2. 7. 0.2592593 0.8 1.
1. 0. 1. 1. 2. 9. 0.3333333 0.8 1.
1. 0. 1. 1. 2. 6. 0.2222222 0.5333333 1.
1. 0. 1. 1. 2. 5. 0.1851852 1.8666667 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 7. 0.2592593 1.037037 1.
1. 0. 1. 1. 2. 9. 0.3333333 1.3333333 1.
1. 0. 1. 1. 2. 6. 0.2222222 0.8888889 1.
1. 0. 1. 1. 2. 5. 0.1851852 0.7407407 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 7. 0.2592593 1.037037 1.
1. 0. 1. 1. 2. 9. 0.3333333 1.3333333 1.
1. 0. 1. 1. 2. 6. 0.2222222 0.8888889 1.
1. 0. 1. 1. 2. 5. 0.1851852 0.7407407 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 85
column 1 to 9
0. 0. 1. 1. 2. 7. 0.2592593 1.037037 1.
1. 0. 1. 1. 2. 9. 0.3333333 1.3333333 1.
1. 0. 1. 1. 2. 6. 0.2222222 0.8888889 1.
1. 0. 1. 1. 2. 5. 0.1851852 0.7407407 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
cyc =
86.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 7. 0.2592593 1.037037 1.
1. 0. 1. 1. 2. 9. 0.3333333 1.3333333 1.
1. 0. 1. 1. 2. 6. 0.2222222 0.8888889 1.
1. 0. 1. 1. 2. 5. 0.1851852 0.7407407 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
FITNESS_ALL = 15.000000
column 1 to 9
0. 0. 1. 1. 0. 1. 0.0666667 1.037037 1.
1. 0. 1. 1. 2. 2. 0.1333333 1.3333333 1.
1. 0. 1. 1. 2. 4. 0.2666667 0.8888889 1.
1. 0. 1. 1. 2. 8. 0.5333333 0.7407407 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 1. 0.0666667 0.2666667 0.
1. 0. 1. 1. 2. 2. 0.1333333 0.5333333 1.
1. 0. 1. 1. 2. 4. 0.2666667 1.0666667 1.
1. 0. 1. 1. 2. 8. 0.5333333 2.1333333 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 1. 0.0666667 0.2666667 0.
0. 0. 1. 1. 2. 2. 0.1333333 0.5333333 1.
0. 0. 1. 1. 2. 4. 0.2666667 1.0666667 1.
1. 0. 1. 1. 2. 8. 0.5333333 2.1333333 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
MCount = 1
cyc =
87.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 1. 0.0666667 0.2666667 0.
0. 0. 1. 1. 0. 2. 0.1333333 0.5333333 1.
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
1. 0. 1. 1. 2. 8. 0.5333333 2.1333333 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
FITNESS_ALL = 21.000000
column 1 to 9
0. 0. 1. 1. 0. 5. 0.2380952 0.2666667 0.
0. 0. 1. 1. 0. 1. 0.0476190 0.5333333 1.
0. 0. 1. 1. 0. 10. 0.4761905 1.0666667 1.
1. 0. 1. 1. 2. 5. 0.2380952 2.1333333 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 5. 0.2380952 0.9523810 1.
0. 0. 1. 1. 0. 1. 0.0476190 0.1904762 0.
0. 0. 1. 1. 0. 10. 0.4761905 1.9047619 2.
1. 0. 1. 1. 2. 5. 0.2380952 0.9523810 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 5. 0.2380952 0.9523810 1.
0. 0. 1. 1. 0. 1. 0.0476190 0.1904762 0.
1. 0. 1. 1. 0. 10. 0.4761905 1.9047619 2.
0. 0. 1. 1. 2. 5. 0.2380952 0.9523810 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
MCount = 2
mutation point at row = 3 col = 2
Mutation at cycle = 87
column 1 to 9
0. 0. 1. 1. 0. 5. 0.2380952 0.9523810 1.
0. 0. 1. 1. 0. 1. 0.0476190 0.1904762 0.
1. 1. 1. 1. 0. 10. 0.4761905 1.9047619 2.
0. 0. 1. 1. 2. 5. 0.2380952 0.9523810 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
cyc =
88.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 5. 0.2380952 0.9523810 1.
0. 0. 1. 1. 0. 1. 0.0476190 0.1904762 0.
1. 1. 1. 1. 3. 10. 0.4761905 1.9047619 2.
0. 0. 1. 1. 0. 5. 0.2380952 0.9523810 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
FITNESS_ALL = 21.000000
column 1 to 9
0. 0. 1. 1. 0. 7. 0.3333333 0.9523810 1.
0. 0. 1. 1. 0. 7. 0.3333333 0.1904762 0.
1. 1. 1. 1. 3. 3. 0.1428571 1.9047619 2.
0. 0. 1. 1. 0. 4. 0.1904762 0.9523810 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 7. 0.3333333 1.3333333 1.
0. 0. 1. 1. 0. 7. 0.3333333 1.3333333 1.
1. 1. 1. 1. 3. 3. 0.1428571 0.5714286 1.
0. 0. 1. 1. 0. 4. 0.1904762 0.7619048 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 7. 0.3333333 1.3333333 1.
0. 0. 1. 1. 0. 7. 0.3333333 1.3333333 1.
0. 0. 1. 1. 3. 3. 0.1428571 0.5714286 1.
0. 0. 1. 1. 0. 4. 0.1904762 0.7619048 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 1
cyc =
89.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 7. 0.3333333 1.3333333 1.
0. 0. 1. 1. 0. 7. 0.3333333 1.3333333 1.
0. 0. 1. 1. 0. 3. 0.1428571 0.5714286 1.
0. 0. 1. 1. 0. 4. 0.1904762 0.7619048 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 25.000000
column 1 to 10
0. 0. 1. 1. 0. 9. 0.36 1.3333333 1. 3.
0. 0. 1. 1. 0. 0. 0. 1.3333333 1. 3.
0. 0. 1. 1. 0. 8. 0.32 0.5714286 1. 3.
0. 0. 1. 1. 0. 8. 0.32 0.7619048 1. 3.
column 11 to 15
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
column 1 to 11
0. 0. 1. 1. 0. 9. 0.36 1.44 1. 3. 0.
0. 0. 1. 1. 0. 0. 0. 0. 0. 3. 0.
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 3. 0.
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 3. 0.
column 12 to 15
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
column 1 to 11
0. 0. 1. 1. 0. 9. 0.36 1.44 1. 3. 0.
0. 0. 1. 1. 0. 0. 0. 0. 0. 3. 0.
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 3. 0.
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 3. 0.
column 12 to 15
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
MCount = 2
mutation point at row = 2 col = 4
Mutation at cycle = 89
column 1 to 11
0. 0. 1. 1. 0. 9. 0.36 1.44 1. 3. 0.
0. 0. 1. 0. 0. 0. 0. 0. 0. 3. 0.
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 3. 0.
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 3. 0.
column 12 to 15
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
cyc =
90.
New Numbers in POP
column 1 to 11
0. 0. 1. 1. 0. 9. 0.36 1.44 1. 3. 0.
0. 0. 1. 0. 0. 0. 0. 0. 0. 2. 0.
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 3. 0.
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 3. 0.
column 12 to 15
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
FITNESS_ALL = 27.000000
column 1 to 10
0. 0. 1. 1. 0. 7. 0.2592593 1.44 1. 3.
0. 0. 1. 0. 0. 2. 0.0740741 0. 0. 2.
0. 0. 1. 1. 0. 8. 0.2962963 1.28 1. 3.
0. 0. 1. 1. 0. 10. 0.3703704 1.28 1. 3.
column 11 to 15
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 7. 0.2592593 1.037037 1.
0. 0. 1. 0. 0. 2. 0.0740741 0.2962963 0.
0. 0. 1. 1. 0. 8. 0.2962963 1.1851852 1.
0. 0. 1. 1. 0. 10. 0.3703704 1.4814815 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 7. 0.2592593 1.037037 1.
0. 0. 1. 1. 0. 2. 0.0740741 0.2962963 0.
0. 0. 1. 1. 0. 8. 0.2962963 1.1851852 1.
0. 0. 1. 1. 0. 10. 0.3703704 1.4814815 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 1
cyc =
91.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 7. 0.2592593 1.037037 1.
0. 0. 1. 1. 0. 2. 0.0740741 0.2962963 0.
0. 0. 1. 1. 0. 8. 0.2962963 1.1851852 1.
0. 0. 1. 1. 0. 10. 0.3703704 1.4814815 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 26.000000
column 1 to 9
0. 0. 1. 1. 0. 6. 0.2307692 1.037037 1.
0. 0. 1. 1. 0. 3. 0.1153846 0.2962963 0.
0. 0. 1. 1. 0. 9. 0.3461538 1.1851852 1.
0. 0. 1. 1. 0. 8. 0.3076923 1.4814815 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 6. 0.2307692 0.9230769 1.
0. 0. 1. 1. 0. 3. 0.1153846 0.4615385 0.
0. 0. 1. 1. 0. 9. 0.3461538 1.3846154 1.
0. 0. 1. 1. 0. 8. 0.3076923 1.2307692 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 6. 0.2307692 0.9230769 1.
0. 0. 1. 1. 0. 3. 0.1153846 0.4615385 0.
0. 0. 1. 1. 0. 9. 0.3461538 1.3846154 1.
0. 0. 1. 1. 0. 8. 0.3076923 1.2307692 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 2
mutation point at row = 4 col = 4
Mutation at cycle = 91
column 1 to 9
0. 0. 1. 1. 0. 6. 0.2307692 0.9230769 1.
0. 0. 1. 1. 0. 3. 0.1153846 0.4615385 0.
0. 0. 1. 1. 0. 9. 0.3461538 1.3846154 1.
0. 0. 1. 0. 0. 8. 0.3076923 1.2307692 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
cyc =
92.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 6. 0.2307692 0.9230769 1.
0. 0. 1. 1. 0. 3. 0.1153846 0.4615385 0.
0. 0. 1. 1. 0. 9. 0.3461538 1.3846154 1.
0. 0. 1. 0. 0. 8. 0.3076923 1.2307692 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
FITNESS_ALL = 22.000000
column 1 to 9
0. 0. 1. 1. 0. 7. 0.3181818 0.9230769 1.
0. 0. 1. 1. 0. 7. 0.3181818 0.4615385 0.
0. 0. 1. 1. 0. 4. 0.1818182 1.3846154 1.
0. 0. 1. 0. 0. 4. 0.1818182 1.2307692 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 7. 0.3181818 1.2727273 1.
0. 0. 1. 1. 0. 7. 0.3181818 1.2727273 1.
0. 0. 1. 1. 0. 4. 0.1818182 0.7272727 1.
0. 0. 1. 0. 0. 4. 0.1818182 0.7272727 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
column 1 to 9
0. 0. 1. 1. 0. 7. 0.3181818 1.2727273 1.
0. 0. 1. 1. 0. 7. 0.3181818 1.2727273 1.
0. 0. 1. 0. 0. 4. 0.1818182 0.7272727 1.
0. 0. 1. 1. 0. 4. 0.1818182 0.7272727 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
MCount = 1
cyc =
93.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 7. 0.3181818 1.2727273 1.
0. 0. 1. 1. 0. 7. 0.3181818 1.2727273 1.
0. 0. 1. 0. 0. 4. 0.1818182 0.7272727 1.
0. 0. 1. 1. 0. 4. 0.1818182 0.7272727 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 0.
FITNESS_ALL = 17.000000
column 1 to 9
0. 0. 1. 1. 0. 2. 0.1176471 1.2727273 1.
0. 0. 1. 1. 0. 3. 0.1764706 1.2727273 1.
0. 0. 1. 0. 0. 5. 0.2941176 0.7272727 1.
0. 0. 1. 1. 0. 7. 0.4117647 0.7272727 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 0.
column 1 to 9
0. 0. 1. 1. 0. 2. 0.1176471 0.4705882 0.
0. 0. 1. 1. 0. 3. 0.1764706 0.7058824 1.
0. 0. 1. 0. 0. 5. 0.2941176 1.1764706 1.
0. 0. 1. 1. 0. 7. 0.4117647 1.6470588 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 2. 0.1176471 0.4705882 0.
0. 0. 1. 1. 0. 3. 0.1764706 0.7058824 1.
0. 0. 1. 1. 0. 5. 0.2941176 1.1764706 1.
0. 0. 1. 1. 0. 7. 0.4117647 1.6470588 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 93
column 1 to 9
0. 0. 1. 0. 0. 2. 0.1176471 0.4705882 0.
0. 0. 1. 1. 0. 3. 0.1764706 0.7058824 1.
0. 0. 1. 1. 0. 5. 0.2941176 1.1764706 1.
0. 0. 1. 1. 0. 7. 0.4117647 1.6470588 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
cyc =
94.
New Numbers in POP
column 1 to 9
0. 0. 1. 0. 0. 2. 0.1176471 0.4705882 0.
0. 0. 1. 1. 0. 3. 0.1764706 0.7058824 1.
0. 0. 1. 1. 0. 5. 0.2941176 1.1764706 1.
0. 0. 1. 1. 0. 7. 0.4117647 1.6470588 2.
column 10 to 15
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 17.000000
column 1 to 9
0. 0. 1. 0. 0. 2. 0.1176471 0.4705882 0.
0. 0. 1. 1. 0. 7. 0.4117647 0.7058824 1.
0. 0. 1. 1. 0. 2. 0.1176471 1.1764706 1.
0. 0. 1. 1. 0. 6. 0.3529412 1.6470588 2.
column 10 to 15
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 0. 0. 2. 0.1176471 0.4705882 0.
0. 0. 1. 1. 0. 7. 0.4117647 1.6470588 2.
0. 0. 1. 1. 0. 2. 0.1176471 0.4705882 0.
0. 0. 1. 1. 0. 6. 0.3529412 1.4117647 1.
column 10 to 15
2. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 0. 0. 2. 0.1176471 0.4705882 0.
0. 0. 1. 1. 0. 7. 0.4117647 1.6470588 2.
0. 0. 1. 1. 0. 2. 0.1176471 0.4705882 0.
0. 0. 1. 0. 0. 6. 0.3529412 1.4117647 1.
column 10 to 15
2. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 1
cyc =
95.
New Numbers in POP
column 1 to 9
0. 0. 1. 0. 0. 2. 0.1176471 0.4705882 0.
0. 0. 1. 1. 0. 7. 0.4117647 1.6470588 2.
0. 0. 1. 1. 0. 2. 0.1176471 0.4705882 0.
0. 0. 1. 0. 0. 6. 0.3529412 1.4117647 1.
column 10 to 15
2. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
FITNESS_ALL = 19.000000
column 1 to 9
0. 0. 1. 0. 0. 0. 0. 0.4705882 0.
0. 0. 1. 1. 0. 6. 0.3157895 1.6470588 2.
0. 0. 1. 1. 0. 9. 0.4736842 0.4705882 0.
0. 0. 1. 0. 0. 4. 0.2105263 1.4117647 1.
column 10 to 15
2. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 0. 0. 0. 0. 0. 0.
0. 0. 1. 1. 0. 6. 0.3157895 1.2631579 1.
0. 0. 1. 1. 0. 9. 0.4736842 1.8947368 2.
0. 0. 1. 0. 0. 4. 0.2105263 0.8421053 1.
column 10 to 15
2. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
column 1 to 9
0. 0. 1. 1. 0. 0. 0. 0. 0.
0. 0. 1. 0. 0. 6. 0.3157895 1.2631579 1.
0. 0. 1. 0. 0. 9. 0.4736842 1.8947368 2.
0. 0. 1. 0. 0. 4. 0.2105263 0.8421053 1.
column 10 to 15
2. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 95
column 1 to 9
0. 0. 1. 1. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 6. 0.3157895 1.2631579 1.
0. 0. 1. 0. 0. 9. 0.4736842 1.8947368 2.
0. 0. 1. 0. 0. 4. 0.2105263 0.8421053 1.
column 10 to 15
2. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 0.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
cyc =
96.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 6. 0.3157895 1.2631579 1.
0. 0. 1. 0. 0. 9. 0.4736842 1.8947368 2.
0. 0. 1. 0. 0. 4. 0.2105263 0.8421053 1.
column 10 to 15
3. 0. 0. 0. 1. 0.
0. 0. 0. 0. 1. 0.
2. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
FITNESS_ALL = 26.000000
column 1 to 9
0. 0. 1. 1. 0. 6. 0.2307692 0. 0.
0. 0. 0. 0. 0. 5. 0.1923077 1.2631579 1.
0. 0. 1. 0. 0. 7. 0.2692308 1.8947368 2.
0. 0. 1. 0. 0. 8. 0.3076923 0.8421053 1.
column 10 to 15
3. 0. 0. 0. 1. 0.
0. 0. 0. 0. 1. 0.
2. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
column 1 to 9
0. 0. 1. 1. 0. 6. 0.2307692 0.9230769 1.
0. 0. 0. 0. 0. 5. 0.1923077 0.7692308 1.
0. 0. 1. 0. 0. 7. 0.2692308 1.0769231 1.
0. 0. 1. 0. 0. 8. 0.3076923 1.2307692 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
0. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
column 1 to 9
0. 0. 1. 1. 0. 6. 0.2307692 0.9230769 1.
0. 0. 1. 1. 0. 5. 0.1923077 0.7692308 1.
0. 0. 1. 0. 0. 7. 0.2692308 1.0769231 1.
0. 0. 1. 1. 0. 8. 0.3076923 1.2307692 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
0. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
MCount = 1
cyc =
97.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 6. 0.2307692 0.9230769 1.
0. 0. 1. 1. 0. 5. 0.1923077 0.7692308 1.
0. 0. 1. 0. 0. 7. 0.2692308 1.0769231 1.
0. 0. 1. 1. 0. 8. 0.3076923 1.2307692 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 0.
FITNESS_ALL = 23.000000
column 1 to 9
0. 0. 1. 1. 0. 1. 0.0434783 0.9230769 1.
0. 0. 1. 1. 0. 9. 0.3913043 0.7692308 1.
0. 0. 1. 0. 0. 5. 0.2173913 1.0769231 1.
0. 0. 1. 1. 0. 8. 0.3478261 1.2307692 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 0.
column 1 to 9
0. 0. 1. 1. 0. 1. 0.0434783 0.1739130 0.
0. 0. 1. 1. 0. 9. 0.3913043 1.5652174 2.
0. 0. 1. 0. 0. 5. 0.2173913 0.8695652 1.
0. 0. 1. 1. 0. 8. 0.3478261 1.3913043 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 1. 0.0434783 0.1739130 0.
0. 0. 1. 1. 0. 9. 0.3913043 1.5652174 2.
0. 0. 1. 1. 0. 5. 0.2173913 0.8695652 1.
0. 0. 1. 1. 0. 8. 0.3478261 1.3913043 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 97
column 1 to 9
0. 0. 0. 1. 0. 1. 0.0434783 0.1739130 0.
0. 0. 1. 1. 0. 9. 0.3913043 1.5652174 2.
0. 0. 1. 1. 0. 5. 0.2173913 0.8695652 1.
0. 0. 1. 1. 0. 8. 0.3478261 1.3913043 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
cyc =
98.
New Numbers in POP
column 1 to 9
0. 0. 0. 1. 0. 1. 0.0434783 0.1739130 0.
0. 0. 1. 1. 0. 9. 0.3913043 1.5652174 2.
0. 0. 1. 1. 0. 5. 0.2173913 0.8695652 1.
0. 0. 1. 1. 0. 8. 0.3478261 1.3913043 1.
column 10 to 15
1. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 16.000000
column 1 to 10
0. 0. 0. 1. 0. 2. 0.125 0.1739130 0. 1.
0. 0. 1. 1. 0. 3. 0.1875 1.5652174 2. 3.
0. 0. 1. 1. 0. 6. 0.375 0.8695652 1. 3.
0. 0. 1. 1. 0. 5. 0.3125 1.3913043 1. 3.
column 11 to 15
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
column 1 to 11
0. 0. 0. 1. 0. 2. 0.125 0.5 1. 1. 0.
0. 0. 1. 1. 0. 3. 0.1875 0.75 1. 3. 0.
0. 0. 1. 1. 0. 6. 0.375 1.5 2. 3. 0.
0. 0. 1. 1. 0. 5. 0.3125 1.25 1. 3. 0.
column 12 to 15
0. 0. 0. 1.
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
column 1 to 11
0. 0. 0. 1. 0. 2. 0.125 0.5 1. 1. 0.
0. 0. 1. 1. 0. 3. 0.1875 0.75 1. 3. 0.
0. 0. 1. 1. 0. 6. 0.375 1.5 2. 3. 0.
0. 0. 1. 1. 0. 5. 0.3125 1.25 1. 3. 0.
column 12 to 15
0. 0. 0. 1.
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
MCount = 1
cyc =
99.
New Numbers in POP
column 1 to 11
0. 0. 0. 1. 0. 2. 0.125 0.5 1. 1. 0.
0. 0. 1. 1. 0. 3. 0.1875 0.75 1. 3. 0.
0. 0. 1. 1. 0. 6. 0.375 1.5 2. 3. 0.
0. 0. 1. 1. 0. 5. 0.3125 1.25 1. 3. 0.
column 12 to 15
0. 0. 0. 1.
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
FITNESS_ALL = 24.000000
column 1 to 10
0. 0. 0. 1. 0. 1. 0.0416667 0.5 1. 1.
0. 0. 1. 1. 0. 8. 0.3333333 0.75 1. 3.
0. 0. 1. 1. 0. 7. 0.2916667 1.5 2. 3.
0. 0. 1. 1. 0. 8. 0.3333333 1.25 1. 3.
column 11 to 15
0. 0. 0. 0. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
column 1 to 9
0. 0. 0. 1. 0. 1. 0.0416667 0.1666667 0.
0. 0. 1. 1. 0. 8. 0.3333333 1.3333333 1.
0. 0. 1. 1. 0. 7. 0.2916667 1.1666667 1.
0. 0. 1. 1. 0. 8. 0.3333333 1.3333333 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 0. 1. 0. 1. 0.0416667 0.1666667 0.
0. 0. 1. 1. 0. 8. 0.3333333 1.3333333 1.
0. 0. 1. 1. 0. 7. 0.2916667 1.1666667 1.
0. 0. 1. 1. 0. 8. 0.3333333 1.3333333 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 2
mutation point at row = 3 col = 1
Mutation at cycle = 99
column 1 to 9
0. 0. 0. 1. 0. 1. 0.0416667 0.1666667 0.
0. 0. 1. 1. 0. 8. 0.3333333 1.3333333 1.
1. 0. 1. 1. 0. 7. 0.2916667 1.1666667 1.
0. 0. 1. 1. 0. 8. 0.3333333 1.3333333 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
cyc =
100.
New Numbers in POP
column 1 to 9
0. 0. 0. 1. 0. 1. 0.0416667 0.1666667 0.
0. 0. 1. 1. 0. 8. 0.3333333 1.3333333 1.
1. 0. 1. 1. 2. 7. 0.2916667 1.1666667 1.
0. 0. 1. 1. 0. 8. 0.3333333 1.3333333 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 23.000000
column 1 to 9
0. 0. 0. 1. 0. 7. 0.3043478 0.1666667 0.
0. 0. 1. 1. 0. 2. 0.0869565 1.3333333 1.
1. 0. 1. 1. 2. 8. 0.3478261 1.1666667 1.
0. 0. 1. 1. 0. 6. 0.2608696 1.3333333 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 0. 1. 0. 7. 0.3043478 1.2173913 1.
0. 0. 1. 1. 0. 2. 0.0869565 0.3478261 0.
1. 0. 1. 1. 2. 8. 0.3478261 1.3913043 1.
0. 0. 1. 1. 0. 6. 0.2608696 1.0434783 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 0. 1. 0. 7. 0.3043478 1.2173913 1.
0. 0. 1. 1. 0. 2. 0.0869565 0.3478261 0.
0. 0. 1. 1. 2. 8. 0.3478261 1.3913043 1.
0. 0. 1. 1. 0. 6. 0.2608696 1.0434783 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 1
cyc =
101.
New Numbers in POP
column 1 to 9
0. 0. 0. 1. 0. 7. 0.3043478 1.2173913 1.
0. 0. 1. 1. 0. 2. 0.0869565 0.3478261 0.
0. 0. 1. 1. 0. 8. 0.3478261 1.3913043 1.
0. 0. 1. 1. 0. 6. 0.2608696 1.0434783 1.
column 10 to 15
1. 0. 0. 0. 0. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 25.000000
column 1 to 10
0. 0. 0. 1. 0. 8. 0.32 1.2173913 1. 1.
0. 0. 1. 1. 0. 0. 0. 0.3478261 0. 3.
0. 0. 1. 1. 0. 9. 0.36 1.3913043 1. 3.
0. 0. 1. 1. 0. 8. 0.32 1.0434783 1. 3.
column 11 to 15
0. 0. 0. 0. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
column 1 to 11
0. 0. 0. 1. 0. 8. 0.32 1.28 1. 1. 0.
0. 0. 1. 1. 0. 0. 0. 0. 0. 3. 0.
0. 0. 1. 1. 0. 9. 0.36 1.44 1. 3. 0.
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 3. 0.
column 12 to 15
0. 0. 0. 1.
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
column 1 to 11
0. 0. 0. 1. 0. 8. 0.32 1.28 1. 1. 0.
0. 0. 1. 1. 0. 0. 0. 0. 0. 3. 0.
0. 0. 1. 1. 0. 9. 0.36 1.44 1. 3. 0.
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 3. 0.
column 12 to 15
0. 0. 0. 1.
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 101
column 1 to 11
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 1. 0.
0. 0. 1. 1. 0. 0. 0. 0. 0. 3. 0.
0. 0. 1. 1. 0. 9. 0.36 1.44 1. 3. 0.
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 3. 0.
column 12 to 15
0. 0. 0. 1.
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
cyc =
102.
New Numbers in POP
column 1 to 11
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 3. 0.
0. 0. 1. 1. 0. 0. 0. 0. 0. 3. 0.
0. 0. 1. 1. 0. 9. 0.36 1.44 1. 3. 0.
0. 0. 1. 1. 0. 8. 0.32 1.28 1. 3. 0.
column 12 to 15
0. 0. 0. 1.
0. 0. 1. 1.
0. 0. 1. 1.
0. 0. 1. 1.
FITNESS_ALL = 26.000000
column 1 to 10
0. 0. 1. 1. 0. 9. 0.3461538 1.28 1. 3.
0. 0. 1. 1. 0. 8. 0.3076923 0. 0. 3.
0. 0. 1. 1. 0. 2. 0.0769231 1.44 1. 3.
0. 0. 1. 1. 0. 7. 0.2692308 1.28 1. 3.
column 11 to 15
0. 0. 0. 0. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 9. 0.3461538 1.3846154 1.
0. 0. 1. 1. 0. 8. 0.3076923 1.2307692 1.
0. 0. 1. 1. 0. 2. 0.0769231 0.3076923 0.
0. 0. 1. 1. 0. 7. 0.2692308 1.0769231 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 9. 0.3461538 1.3846154 1.
0. 0. 1. 1. 0. 8. 0.3076923 1.2307692 1.
0. 0. 1. 1. 0. 2. 0.0769231 0.3076923 0.
0. 0. 1. 1. 0. 7. 0.2692308 1.0769231 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 1
cyc =
103.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 9. 0.3461538 1.3846154 1.
0. 0. 1. 1. 0. 8. 0.3076923 1.2307692 1.
0. 0. 1. 1. 0. 2. 0.0769231 0.3076923 0.
0. 0. 1. 1. 0. 7. 0.2692308 1.0769231 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 15.000000
column 1 to 9
0. 0. 1. 1. 0. 4. 0.2666667 1.3846154 1.
0. 0. 1. 1. 0. 2. 0.1333333 1.2307692 1.
0. 0. 1. 1. 0. 4. 0.2666667 0.3076923 0.
0. 0. 1. 1. 0. 5. 0.3333333 1.0769231 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
0. 0. 1. 1. 0. 2. 0.1333333 0.5333333 1.
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
0. 0. 1. 1. 0. 5. 0.3333333 1.3333333 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
0. 0. 1. 1. 0. 2. 0.1333333 0.5333333 1.
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
0. 0. 1. 1. 0. 5. 0.3333333 1.3333333 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 103
column 1 to 9
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
0. 0. 1. 1. 0. 2. 0.1333333 0.5333333 1.
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
1. 0. 1. 1. 0. 5. 0.3333333 1.3333333 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
cyc =
104.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
0. 0. 1. 1. 0. 2. 0.1333333 0.5333333 1.
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
1. 0. 1. 1. 2. 5. 0.3333333 1.3333333 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 19.000000
column 1 to 9
0. 0. 1. 1. 0. 1. 0.0526316 1.0666667 1.
0. 0. 1. 1. 0. 4. 0.2105263 0.5333333 1.
0. 0. 1. 1. 0. 10. 0.5263158 1.0666667 1.
1. 0. 1. 1. 2. 4. 0.2105263 1.3333333 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
0. 0. 1. 1. 0. 1. 0.0526316 0.2105263 0.
0. 0. 1. 1. 0. 4. 0.2105263 0.8421053 1.
0. 0. 1. 1. 0. 10. 0.5263158 2.1052632 2.
1. 0. 1. 1. 2. 4. 0.2105263 0.8421053 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 0. 1. 0.0526316 0.2105263 0.
0. 0. 1. 1. 0. 4. 0.2105263 0.8421053 1.
0. 0. 1. 1. 0. 10. 0.5263158 2.1052632 2.
0. 0. 1. 1. 2. 4. 0.2105263 0.8421053 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
MCount = 1
cyc =
105.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 1. 0.0526316 0.2105263 0.
0. 0. 1. 1. 0. 4. 0.2105263 0.8421053 1.
0. 0. 1. 1. 0. 10. 0.5263158 2.1052632 2.
0. 0. 1. 1. 0. 4. 0.2105263 0.8421053 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
FITNESS_ALL = 9.000000
column 1 to 9
1. 0. 1. 1. 2. 0. 0. 0.2105263 0.
0. 0. 1. 1. 0. 1. 0.1111111 0.8421053 1.
0. 0. 1. 1. 0. 1. 0.1111111 2.1052632 2.
0. 0. 1. 1. 0. 7. 0.7777778 0.8421053 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 0. 0. 0. 0.
0. 0. 1. 1. 0. 1. 0.1111111 0.4444444 0.
0. 0. 1. 1. 0. 1. 0.1111111 0.4444444 0.
0. 0. 1. 1. 0. 7. 0.7777778 3.1111111 3.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 0. 0. 0. 0.
0. 0. 1. 1. 0. 1. 0.1111111 0.4444444 0.
1. 0. 1. 1. 0. 1. 0.1111111 0.4444444 0.
1. 0. 1. 1. 0. 7. 0.7777778 3.1111111 3.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 105
column 1 to 9
1. 0. 1. 0. 2. 0. 0. 0. 0.
0. 0. 1. 1. 0. 1. 0.1111111 0.4444444 0.
1. 0. 1. 1. 0. 1. 0.1111111 0.4444444 0.
1. 0. 1. 1. 0. 7. 0.7777778 3.1111111 3.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
cyc =
106.
New Numbers in POP
column 1 to 9
1. 0. 1. 0. 2. 0. 0. 0. 0.
0. 0. 1. 1. 0. 1. 0.1111111 0.4444444 0.
1. 0. 1. 1. 2. 1. 0.1111111 0.4444444 0.
1. 0. 1. 1. 2. 7. 0.7777778 3.1111111 3.
column 10 to 15
2. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 21.000000
column 1 to 9
1. 0. 1. 0. 2. 0. 0. 0. 0.
0. 0. 1. 1. 0. 5. 0.2380952 0.4444444 0.
1. 0. 1. 1. 2. 9. 0.4285714 0.4444444 0.
1. 0. 1. 1. 2. 7. 0.3333333 3.1111111 3.
column 10 to 15
2. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 0. 2. 0. 0. 0. 0.
0. 0. 1. 1. 0. 5. 0.2380952 0.9523810 1.
1. 0. 1. 1. 2. 9. 0.4285714 1.7142857 2.
1. 0. 1. 1. 2. 7. 0.3333333 1.3333333 1.
column 10 to 15
2. 0. 1. 0. 1. 0.
3. 0. 1. 0. 1. 0.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 0. 2. 0. 0. 0. 0.
1. 0. 1. 1. 0. 5. 0.2380952 0.9523810 1.
1. 0. 1. 0. 2. 9. 0.4285714 1.7142857 2.
0. 0. 1. 1. 2. 7. 0.3333333 1.3333333 1.
column 10 to 15
2. 0. 1. 0. 1. 0.
3. 0. 1. 0. 1. 0.
3. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
MCount = 1
cyc =
107.
New Numbers in POP
column 1 to 9
1. 0. 1. 0. 2. 0. 0. 0. 0.
1. 0. 1. 1. 2. 5. 0.2380952 0.9523810 1.
1. 0. 1. 0. 2. 9. 0.4285714 1.7142857 2.
0. 0. 1. 1. 0. 7. 0.3333333 1.3333333 1.
column 10 to 15
2. 0. 1. 0. 1. 0.
3. 0. 1. 0. 1. 0.
2. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
FITNESS_ALL = 15.000000
column 1 to 9
1. 0. 1. 0. 2. 2. 0.1333333 0. 0.
1. 0. 1. 1. 2. 8. 0.5333333 0.9523810 1.
1. 0. 1. 0. 2. 1. 0.0666667 1.7142857 2.
0. 0. 1. 1. 0. 4. 0.2666667 1.3333333 1.
column 10 to 15
2. 0. 1. 0. 1. 0.
3. 0. 1. 0. 1. 0.
2. 0. 0. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 0. 2. 2. 0.1333333 0.5333333 1.
1. 0. 1. 1. 2. 8. 0.5333333 2.1333333 2.
1. 0. 1. 0. 2. 1. 0.0666667 0.2666667 0.
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
column 10 to 15
2. 0. 1. 0. 1. 0.
3. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 0. 2. 2. 0.1333333 0.5333333 1.
1. 0. 1. 0. 2. 8. 0.5333333 2.1333333 2.
1. 0. 1. 1. 2. 1. 0.0666667 0.2666667 0.
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
column 10 to 15
2. 0. 1. 0. 1. 0.
3. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 2
mutation point at row = 3 col = 1
Mutation at cycle = 107
column 1 to 9
1. 0. 1. 0. 2. 2. 0.1333333 0.5333333 1.
1. 0. 1. 0. 2. 8. 0.5333333 2.1333333 2.
0. 0. 1. 1. 2. 1. 0.0666667 0.2666667 0.
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
column 10 to 15
2. 0. 1. 0. 1. 0.
3. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
cyc =
108.
New Numbers in POP
column 1 to 9
1. 0. 1. 0. 2. 2. 0.1333333 0.5333333 1.
1. 0. 1. 0. 2. 8. 0.5333333 2.1333333 2.
0. 0. 1. 1. 0. 1. 0.0666667 0.2666667 0.
0. 0. 1. 1. 0. 4. 0.2666667 1.0666667 1.
column 10 to 15
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 25.000000
column 1 to 10
1. 0. 1. 0. 2. 5. 0.2 0.5333333 1. 2.
1. 0. 1. 0. 2. 6. 0.24 2.1333333 2. 2.
0. 0. 1. 1. 0. 5. 0.2 0.2666667 0. 3.
0. 0. 1. 1. 0. 9. 0.36 1.0666667 1. 3.
column 11 to 15
0. 1. 0. 1. 0.
0. 1. 0. 1. 0.
0. 1. 0. 1. 1.
0. 0. 0. 1. 1.
column 1 to 11
1. 0. 1. 0. 2. 5. 0.2 0.8 1. 2. 0.
1. 0. 1. 0. 2. 6. 0.24 0.96 1. 2. 0.
0. 0. 1. 1. 0. 5. 0.2 0.8 1. 3. 0.
0. 0. 1. 1. 0. 9. 0.36 1.44 1. 3. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
0. 0. 1. 1.
column 1 to 11
1. 0. 1. 0. 2. 5. 0.2 0.8 1. 2. 0.
1. 0. 1. 0. 2. 6. 0.24 0.96 1. 2. 0.
0. 0. 1. 0. 0. 5. 0.2 0.8 1. 3. 0.
1. 0. 1. 1. 0. 9. 0.36 1.44 1. 3. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
0. 0. 1. 1.
MCount = 1
cyc =
109.
New Numbers in POP
column 1 to 11
1. 0. 1. 0. 2. 5. 0.2 0.8 1. 2. 0.
1. 0. 1. 0. 2. 6. 0.24 0.96 1. 2. 0.
0. 0. 1. 0. 0. 5. 0.2 0.8 1. 2. 0.
1. 0. 1. 1. 2. 9. 0.36 1.44 1. 3. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
0. 0. 1. 1.
FITNESS_ALL = 25.000000
column 1 to 11
1. 0. 1. 0. 2. 9. 0.36 0.8 1. 2. 0.
1. 0. 1. 0. 2. 9. 0.36 0.96 1. 2. 0.
0. 0. 1. 0. 0. 2. 0.08 0.8 1. 2. 0.
1. 0. 1. 1. 2. 5. 0.2 1.44 1. 3. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
0. 0. 1. 1.
column 1 to 11
1. 0. 1. 0. 2. 9. 0.36 1.44 1. 2. 0.
1. 0. 1. 0. 2. 9. 0.36 1.44 1. 2. 0.
0. 0. 1. 0. 0. 2. 0.08 0.32 0. 2. 0.
1. 0. 1. 1. 2. 5. 0.2 0.8 1. 3. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 1.
column 1 to 11
1. 0. 1. 0. 2. 9. 0.36 1.44 1. 2. 0.
1. 0. 1. 0. 2. 9. 0.36 1.44 1. 2. 0.
1. 0. 1. 1. 0. 2. 0.08 0.32 0. 2. 0.
1. 0. 1. 0. 2. 5. 0.2 0.8 1. 3. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 1.
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 109
column 1 to 11
1. 0. 1. 0. 2. 9. 0.36 1.44 1. 2. 0.
1. 0. 1. 0. 2. 9. 0.36 1.44 1. 2. 0.
1. 0. 0. 1. 0. 2. 0.08 0.32 0. 2. 0.
1. 0. 1. 0. 2. 5. 0.2 0.8 1. 3. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 1.
cyc =
110.
New Numbers in POP
column 1 to 11
1. 0. 1. 0. 2. 9. 0.36 1.44 1. 2. 0.
1. 0. 1. 0. 2. 9. 0.36 1.44 1. 2. 0.
1. 0. 0. 1. 2. 2. 0.08 0.32 0. 1. 0.
1. 0. 1. 0. 2. 5. 0.2 0.8 1. 2. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 1.
FITNESS_ALL = 29.000000
column 1 to 10
1. 0. 1. 0. 2. 2. 0.0689655 1.44 1. 2.
1. 0. 1. 0. 2. 4. 0.1379310 1.44 1. 2.
1. 0. 0. 1. 2. 20. 0.6896552 0.32 0. 1.
1. 0. 1. 0. 2. 3. 0.1034483 0.8 1. 2.
column 11 to 15
0. 1. 0. 1. 0.
0. 1. 0. 1. 0.
0. 1. 0. 1. 0.
0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 0. 2. 2. 0.0689655 0.2758621 0.
1. 0. 1. 0. 2. 4. 0.1379310 0.5517241 1.
1. 0. 0. 1. 2. 20. 0.6896552 2.7586207 3.
1. 0. 1. 0. 2. 3. 0.1034483 0.4137931 0.
column 10 to 15
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
1. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
column 1 to 9
1. 0. 1. 0. 2. 2. 0.0689655 0.2758621 0.
1. 0. 1. 0. 2. 4. 0.1379310 0.5517241 1.
1. 0. 1. 0. 2. 20. 0.6896552 2.7586207 3.
1. 0. 1. 0. 2. 3. 0.1034483 0.4137931 0.
column 10 to 15
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
1. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
MCount = 1
cyc =
111.
New Numbers in POP
column 1 to 9
1. 0. 1. 0. 2. 2. 0.0689655 0.2758621 0.
1. 0. 1. 0. 2. 4. 0.1379310 0.5517241 1.
1. 0. 1. 0. 2. 20. 0.6896552 2.7586207 3.
1. 0. 1. 0. 2. 3. 0.1034483 0.4137931 0.
column 10 to 15
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
FITNESS_ALL = 24.000000
column 1 to 9
1. 0. 1. 0. 2. 4. 0.1666667 0.2758621 0.
1. 0. 1. 0. 2. 8. 0.3333333 0.5517241 1.
1. 0. 1. 0. 2. 5. 0.2083333 2.7586207 3.
1. 0. 1. 0. 2. 7. 0.2916667 0.4137931 0.
column 10 to 15
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
column 1 to 9
1. 0. 1. 0. 2. 4. 0.1666667 0.6666667 1.
1. 0. 1. 0. 2. 8. 0.3333333 1.3333333 1.
1. 0. 1. 0. 2. 5. 0.2083333 0.8333333 1.
1. 0. 1. 0. 2. 7. 0.2916667 1.1666667 1.
column 10 to 15
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
column 1 to 9
1. 0. 1. 0. 2. 4. 0.1666667 0.6666667 1.
1. 0. 1. 0. 2. 8. 0.3333333 1.3333333 1.
1. 0. 1. 0. 2. 5. 0.2083333 0.8333333 1.
1. 0. 1. 0. 2. 7. 0.2916667 1.1666667 1.
column 10 to 15
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 111
column 1 to 9
1. 0. 0. 0. 2. 4. 0.1666667 0.6666667 1.
1. 0. 1. 0. 2. 8. 0.3333333 1.3333333 1.
1. 0. 1. 0. 2. 5. 0.2083333 0.8333333 1.
1. 0. 1. 0. 2. 7. 0.2916667 1.1666667 1.
column 10 to 15
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
cyc =
112.
New Numbers in POP
column 1 to 9
1. 0. 0. 0. 2. 4. 0.1666667 0.6666667 1.
1. 0. 1. 0. 2. 8. 0.3333333 1.3333333 1.
1. 0. 1. 0. 2. 5. 0.2083333 0.8333333 1.
1. 0. 1. 0. 2. 7. 0.2916667 1.1666667 1.
column 10 to 15
0. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
FITNESS_ALL = 23.000000
column 1 to 9
1. 0. 0. 0. 2. 5. 0.2173913 0.6666667 1.
1. 0. 1. 0. 2. 6. 0.2608696 1.3333333 1.
1. 0. 1. 0. 2. 6. 0.2608696 0.8333333 1.
1. 0. 1. 0. 2. 6. 0.2608696 1.1666667 1.
column 10 to 15
0. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
column 1 to 9
1. 0. 0. 0. 2. 5. 0.2173913 0.8695652 1.
1. 0. 1. 0. 2. 6. 0.2608696 1.0434783 1.
1. 0. 1. 0. 2. 6. 0.2608696 1.0434783 1.
1. 0. 1. 0. 2. 6. 0.2608696 1.0434783 1.
column 10 to 15
0. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
column 1 to 9
1. 0. 1. 0. 2. 5. 0.2173913 0.8695652 1.
1. 0. 1. 0. 2. 6. 0.2608696 1.0434783 1.
1. 0. 1. 0. 2. 6. 0.2608696 1.0434783 1.
1. 0. 1. 0. 2. 6. 0.2608696 1.0434783 1.
column 10 to 15
0. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
MCount = 1
cyc =
113.
New Numbers in POP
column 1 to 9
1. 0. 1. 0. 2. 5. 0.2173913 0.8695652 1.
1. 0. 1. 0. 2. 6. 0.2608696 1.0434783 1.
1. 0. 1. 0. 2. 6. 0.2608696 1.0434783 1.
1. 0. 1. 0. 2. 6. 0.2608696 1.0434783 1.
column 10 to 15
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
FITNESS_ALL = 25.000000
column 1 to 10
1. 0. 1. 0. 2. 9. 0.36 0.8695652 1. 2.
1. 0. 1. 0. 2. 10. 0.4 1.0434783 1. 2.
1. 0. 1. 0. 2. 3. 0.12 1.0434783 1. 2.
1. 0. 1. 0. 2. 3. 0.12 1.0434783 1. 2.
column 11 to 15
0. 1. 0. 1. 0.
0. 1. 0. 1. 0.
0. 1. 0. 1. 0.
0. 1. 0. 1. 0.
column 1 to 11
1. 0. 1. 0. 2. 9. 0.36 1.44 1. 2. 0.
1. 0. 1. 0. 2. 10. 0.4 1.6 2. 2. 0.
1. 0. 1. 0. 2. 3. 0.12 0.48 0. 2. 0.
1. 0. 1. 0. 2. 3. 0.12 0.48 0. 2. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
column 1 to 11
1. 0. 1. 0. 2. 9. 0.36 1.44 1. 2. 0.
1. 0. 1. 0. 2. 10. 0.4 1.6 2. 2. 0.
1. 0. 1. 0. 2. 3. 0.12 0.48 0. 2. 0.
1. 0. 1. 0. 2. 3. 0.12 0.48 0. 2. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 113
column 1 to 11
0. 0. 1. 0. 2. 9. 0.36 1.44 1. 2. 0.
1. 0. 1. 0. 2. 10. 0.4 1.6 2. 2. 0.
1. 0. 1. 0. 2. 3. 0.12 0.48 0. 2. 0.
1. 0. 1. 0. 2. 3. 0.12 0.48 0. 2. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
cyc =
114.
New Numbers in POP
column 1 to 11
0. 0. 1. 0. 0. 9. 0.36 1.44 1. 2. 0.
1. 0. 1. 0. 2. 10. 0.4 1.6 2. 2. 0.
1. 0. 1. 0. 2. 3. 0.12 0.48 0. 2. 0.
1. 0. 1. 0. 2. 3. 0.12 0.48 0. 2. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
FITNESS_ALL = 26.000000
column 1 to 10
0. 0. 1. 0. 0. 7. 0.2692308 1.44 1. 2.
1. 0. 1. 0. 2. 5. 0.1923077 1.6 2. 2.
1. 0. 1. 0. 2. 8. 0.3076923 0.48 0. 2.
1. 0. 1. 0. 2. 6. 0.2307692 0.48 0. 2.
column 11 to 15
0. 1. 0. 1. 0.
0. 1. 0. 1. 0.
0. 1. 0. 1. 0.
0. 1. 0. 1. 0.
column 1 to 9
0. 0. 1. 0. 0. 7. 0.2692308 1.0769231 1.
1. 0. 1. 0. 2. 5. 0.1923077 0.7692308 1.
1. 0. 1. 0. 2. 8. 0.3076923 1.2307692 1.
1. 0. 1. 0. 2. 6. 0.2307692 0.9230769 1.
column 10 to 15
2. 0. 0. 0. 1. 0.
2. 0. 0. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
column 1 to 9
1. 0. 1. 0. 0. 7. 0.2692308 1.0769231 1.
1. 0. 1. 0. 2. 5. 0.1923077 0.7692308 1.
0. 0. 1. 0. 2. 8. 0.3076923 1.2307692 1.
0. 0. 1. 0. 2. 6. 0.2307692 0.9230769 1.
column 10 to 15
2. 0. 0. 0. 1. 0.
2. 0. 0. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
MCount = 1
cyc =
115.
New Numbers in POP
column 1 to 9
1. 0. 1. 0. 2. 7. 0.2692308 1.0769231 1.
1. 0. 1. 0. 2. 5. 0.1923077 0.7692308 1.
0. 0. 1. 0. 0. 8. 0.3076923 1.2307692 1.
0. 0. 1. 0. 0. 6. 0.2307692 0.9230769 1.
column 10 to 15
2. 0. 0. 0. 1. 0.
2. 0. 0. 0. 1. 0.
2. 0. 1. 0. 1. 0.
2. 0. 1. 0. 1. 0.
FITNESS_ALL = 5.000000
column 1 to 10
1. 0. 1. 0. 2. 1. 0.2 1.0769231 1. 2.
1. 0. 1. 0. 2. 1. 0.2 0.7692308 1. 2.
0. 0. 1. 0. 0. 2. 0.4 1.2307692 1. 2.
0. 0. 1. 0. 0. 1. 0.2 0.9230769 1. 2.
column 11 to 15
0. 0. 0. 1. 0.
0. 0. 0. 1. 0.
0. 1. 0. 1. 0.
0. 1. 0. 1. 0.
column 1 to 11
1. 0. 1. 0. 2. 1. 0.2 0.8 1. 2. 0.
1. 0. 1. 0. 2. 1. 0.2 0.8 1. 2. 0.
0. 0. 1. 0. 0. 2. 0.4 1.6 2. 2. 0.
0. 0. 1. 0. 0. 1. 0.2 0.8 1. 2. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
0. 0. 1. 0.
column 1 to 11
0. 0. 1. 0. 2. 1. 0.2 0.8 1. 2. 0.
1. 0. 1. 0. 2. 1. 0.2 0.8 1. 2. 0.
1. 0. 1. 0. 0. 2. 0.4 1.6 2. 2. 0.
1. 0. 1. 0. 0. 1. 0.2 0.8 1. 2. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
0. 0. 1. 0.
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 115
column 1 to 11
0. 0. 1. 1. 2. 1. 0.2 0.8 1. 2. 0.
1. 0. 1. 0. 2. 1. 0.2 0.8 1. 2. 0.
1. 0. 1. 0. 0. 2. 0.4 1.6 2. 2. 0.
1. 0. 1. 0. 0. 1. 0.2 0.8 1. 2. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
0. 0. 1. 0.
cyc =
116.
New Numbers in POP
column 1 to 11
0. 0. 1. 1. 0. 1. 0.2 0.8 1. 3. 0.
1. 0. 1. 0. 2. 1. 0.2 0.8 1. 2. 0.
1. 0. 1. 0. 2. 2. 0.4 1.6 2. 2. 0.
1. 0. 1. 0. 2. 1. 0.2 0.8 1. 2. 0.
column 12 to 15
1. 0. 1. 0.
1. 0. 1. 0.
1. 0. 1. 0.
0. 0. 1. 0.
FITNESS_ALL = 24.000000
column 1 to 10
0. 0. 1. 1. 0. 7. 0.2916667 0.8 1. 3.
1. 0. 1. 0. 2. 4. 0.1666667 0.8 1. 2.
1. 0. 1. 0. 2. 6. 0.25 1.6 2. 2.
1. 0. 1. 0. 2. 7. 0.2916667 0.8 1. 2.
column 11 to 15
0. 1. 0. 1. 0.
0. 1. 0. 1. 0.
0. 1. 0. 1. 0.
0. 0. 0. 1. 0.
column 1 to 9
0. 0. 1. 1. 0. 7. 0.2916667 1.1666667 1.
1. 0. 1. 0. 2. 4. 0.1666667 0.6666667 1.
1. 0. 1. 0. 2. 6. 0.25 1. 1.
1. 0. 1. 0. 2. 7. 0.2916667 1.1666667 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
2. 0. 1. 0. 1. 0.
column 1 to 9
0. 0. 1. 1. 0. 7. 0.2916667 1.1666667 1.
0. 0. 1. 1. 2. 4. 0.1666667 0.6666667 1.
1. 0. 1. 1. 2. 6. 0.25 1. 1.
0. 0. 1. 0. 2. 7. 0.2916667 1.1666667 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
2. 0. 1. 0. 1. 0.
MCount = 1
cyc =
117.
New Numbers in POP
column 1 to 9
0. 0. 1. 1. 0. 7. 0.2916667 1.1666667 1.
0. 0. 1. 1. 0. 4. 0.1666667 0.6666667 1.
1. 0. 1. 1. 2. 6. 0.25 1. 1.
0. 0. 1. 0. 0. 7. 0.2916667 1.1666667 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 1. 0. 1. 0.
FITNESS_ALL = 11.000000
column 1 to 9
0. 0. 1. 1. 0. 1. 0.0909091 1.1666667 1.
0. 0. 1. 1. 0. 3. 0.2727273 0.6666667 1.
1. 0. 1. 1. 2. 1. 0.0909091 1. 1.
0. 0. 1. 0. 0. 6. 0.5454545 1.1666667 1.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 1. 0. 1. 0.
column 1 to 9
0. 0. 1. 1. 0. 1. 0.0909091 0.3636364 0.
0. 0. 1. 1. 0. 3. 0.2727273 1.0909091 1.
1. 0. 1. 1. 2. 1. 0.0909091 0.3636364 0.
0. 0. 1. 0. 0. 6. 0.5454545 2.1818182 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
column 1 to 9
0. 0. 1. 1. 0. 1. 0.0909091 0.3636364 0.
0. 0. 1. 1. 0. 3. 0.2727273 1.0909091 1.
0. 0. 1. 0. 2. 1. 0.0909091 0.3636364 0.
0. 0. 1. 1. 0. 6. 0.5454545 2.1818182 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 117
column 1 to 9
1. 0. 1. 1. 0. 1. 0.0909091 0.3636364 0.
0. 0. 1. 1. 0. 3. 0.2727273 1.0909091 1.
0. 0. 1. 0. 2. 1. 0.0909091 0.3636364 0.
0. 0. 1. 1. 0. 6. 0.5454545 2.1818182 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 0.
cyc =
118.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 1. 0.0909091 0.3636364 0.
0. 0. 1. 1. 0. 3. 0.2727273 1.0909091 1.
0. 0. 1. 0. 0. 1. 0.0909091 0.3636364 0.
0. 0. 1. 1. 0. 6. 0.5454545 2.1818182 2.
column 10 to 15
3. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 1.
2. 0. 0. 0. 1. 1.
3. 0. 0. 0. 1. 0.
FITNESS_ALL = 15.000000
column 1 to 10
1. 0. 1. 1. 2. 0. 0. 0.3636364 0. 3.
0. 0. 1. 1. 0. 6. 0.4 1.0909091 1. 3.
0. 0. 1. 0. 0. 9. 0.6 0.3636364 0. 2.
0. 0. 1. 1. 0. 0. 0. 2.1818182 2. 3.
column 11 to 15
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 1.
0. 0. 0. 1. 0.
column 1 to 11
1. 0. 1. 1. 2. 0. 0. 0. 0. 3. 0.
0. 0. 1. 1. 0. 6. 0.4 1.6 2. 3. 0.
0. 0. 1. 0. 0. 9. 0.6 2.4 2. 2. 0.
0. 0. 1. 1. 0. 0. 0. 0. 0. 3. 0.
column 12 to 15
1. 0. 1. 1.
1. 0. 1. 1.
1. 0. 1. 1.
0. 0. 1. 1.
column 1 to 11
1. 0. 1. 1. 2. 0. 0. 0. 0. 3. 0.
1. 0. 1. 1. 0. 6. 0.4 1.6 2. 3. 0.
1. 0. 1. 1. 0. 9. 0.6 2.4 2. 2. 0.
0. 0. 1. 1. 0. 0. 0. 0. 0. 3. 0.
column 12 to 15
1. 0. 1. 1.
1. 0. 1. 1.
1. 0. 1. 1.
0. 0. 1. 1.
MCount = 1
cyc =
119.
New Numbers in POP
column 1 to 11
1. 0. 1. 1. 2. 0. 0. 0. 0. 3. 0.
1. 0. 1. 1. 2. 6. 0.4 1.6 2. 3. 0.
1. 0. 1. 1. 2. 9. 0.6 2.4 2. 3. 0.
0. 0. 1. 1. 0. 0. 0. 0. 0. 3. 0.
column 12 to 15
1. 0. 1. 1.
1. 0. 1. 1.
1. 0. 1. 1.
0. 0. 1. 1.
FITNESS_ALL = 18.000000
column 1 to 10
1. 0. 1. 1. 2. 4. 0.2222222 0. 0. 3.
1. 0. 1. 1. 2. 5. 0.2777778 1.6 2. 3.
1. 0. 1. 1. 2. 5. 0.2777778 2.4 2. 3.
0. 0. 1. 1. 0. 4. 0.2222222 0. 0. 3.
column 11 to 15
0. 1. 0. 1. 1.
0. 1. 0. 1. 1.
0. 1. 0. 1. 1.
0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 4. 0.2222222 0.8888889 1.
1. 0. 1. 1. 2. 5. 0.2777778 1.1111111 1.
1. 0. 1. 1. 2. 5. 0.2777778 1.1111111 1.
0. 0. 1. 1. 0. 4. 0.2222222 0.8888889 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 4. 0.2222222 0.8888889 1.
1. 0. 1. 1. 2. 5. 0.2777778 1.1111111 1.
1. 0. 1. 1. 2. 5. 0.2777778 1.1111111 1.
0. 0. 1. 1. 0. 4. 0.2222222 0.8888889 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 2
mutation point at row = 3 col = 2
Mutation at cycle = 119
column 1 to 9
1. 0. 1. 1. 2. 4. 0.2222222 0.8888889 1.
1. 0. 1. 1. 2. 5. 0.2777778 1.1111111 1.
1. 1. 1. 1. 2. 5. 0.2777778 1.1111111 1.
0. 0. 1. 1. 0. 4. 0.2222222 0.8888889 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
cyc =
120.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 4. 0.2222222 0.8888889 1.
1. 0. 1. 1. 2. 5. 0.2777778 1.1111111 1.
1. 1. 1. 1. 3. 5. 0.2777778 1.1111111 1.
0. 0. 1. 1. 0. 4. 0.2222222 0.8888889 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 25.000000
column 1 to 10
1. 0. 1. 1. 2. 6. 0.24 0.8888889 1. 3.
1. 0. 1. 1. 2. 6. 0.24 1.1111111 1. 3.
1. 1. 1. 1. 3. 8. 0.32 1.1111111 1. 3.
0. 0. 1. 1. 0. 5. 0.2 0.8888889 1. 3.
column 11 to 15
0. 1. 0. 1. 1.
0. 1. 0. 1. 1.
0. 1. 0. 1. 1.
0. 0. 0. 1. 1.
column 1 to 11
1. 0. 1. 1. 2. 6. 0.24 0.96 1. 3. 0.
1. 0. 1. 1. 2. 6. 0.24 0.96 1. 3. 0.
1. 1. 1. 1. 3. 8. 0.32 1.28 1. 3. 0.
0. 0. 1. 1. 0. 5. 0.2 0.8 1. 3. 0.
column 12 to 15
1. 0. 1. 1.
1. 0. 1. 1.
1. 0. 1. 1.
0. 0. 1. 1.
column 1 to 11
1. 0. 1. 1. 2. 6. 0.24 0.96 1. 3. 0.
1. 0. 1. 1. 2. 6. 0.24 0.96 1. 3. 0.
1. 0. 1. 1. 3. 8. 0.32 1.28 1. 3. 0.
0. 0. 1. 1. 0. 5. 0.2 0.8 1. 3. 0.
column 12 to 15
1. 0. 1. 1.
1. 0. 1. 1.
1. 0. 1. 1.
0. 0. 1. 1.
MCount = 1
cyc =
121.
New Numbers in POP
column 1 to 11
1. 0. 1. 1. 2. 6. 0.24 0.96 1. 3. 0.
1. 0. 1. 1. 2. 6. 0.24 0.96 1. 3. 0.
1. 0. 1. 1. 2. 8. 0.32 1.28 1. 3. 0.
0. 0. 1. 1. 0. 5. 0.2 0.8 1. 3. 0.
column 12 to 15
1. 0. 1. 1.
1. 0. 1. 1.
1. 0. 1. 1.
0. 0. 1. 1.
FITNESS_ALL = 21.000000
column 1 to 10
1. 0. 1. 1. 2. 8. 0.3809524 0.96 1. 3.
1. 0. 1. 1. 2. 0. 0. 0.96 1. 3.
1. 0. 1. 1. 2. 6. 0.2857143 1.28 1. 3.
0. 0. 1. 1. 0. 7. 0.3333333 0.8 1. 3.
column 11 to 15
0. 1. 0. 1. 1.
0. 1. 0. 1. 1.
0. 1. 0. 1. 1.
0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 8. 0.3809524 1.5238095 2.
1. 0. 1. 1. 2. 0. 0. 0. 0.
1. 0. 1. 1. 2. 6. 0.2857143 1.1428571 1.
0. 0. 1. 1. 0. 7. 0.3333333 1.3333333 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 8. 0.3809524 1.5238095 2.
0. 0. 1. 1. 2. 0. 0. 0. 0.
1. 0. 1. 1. 2. 6. 0.2857143 1.1428571 1.
1. 0. 1. 1. 0. 7. 0.3333333 1.3333333 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
MCount = 2
mutation point at row = 3 col = 1
Mutation at cycle = 121
column 1 to 9
1. 0. 1. 1. 2. 8. 0.3809524 1.5238095 2.
0. 0. 1. 1. 2. 0. 0. 0. 0.
0. 0. 1. 1. 2. 6. 0.2857143 1.1428571 1.
1. 0. 1. 1. 0. 7. 0.3333333 1.3333333 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
cyc =
122.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 8. 0.3809524 1.5238095 2.
0. 0. 1. 1. 0. 0. 0. 0. 0.
0. 0. 1. 1. 0. 6. 0.2857143 1.1428571 1.
1. 0. 1. 1. 2. 7. 0.3333333 1.3333333 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 0. 0. 1. 1.
FITNESS_ALL = 20.000000
column 1 to 10
1. 0. 1. 1. 2. 2. 0.1 1.5238095 2. 3.
0. 0. 1. 1. 0. 9. 0.45 0. 0. 3.
0. 0. 1. 1. 0. 3. 0.15 1.1428571 1. 3.
1. 0. 1. 1. 2. 6. 0.3 1.3333333 1. 3.
column 11 to 15
0. 1. 0. 1. 1.
0. 1. 0. 1. 1.
0. 1. 0. 1. 1.
0. 0. 0. 1. 1.
column 1 to 11
1. 0. 1. 1. 2. 2. 0.1 0.4 0. 3. 0.
0. 0. 1. 1. 0. 9. 0.45 1.8 2. 3. 0.
0. 0. 1. 1. 0. 3. 0.15 0.6 1. 3. 0.
1. 0. 1. 1. 2. 6. 0.3 1.2 1. 3. 0.
column 12 to 15
1. 0. 1. 1.
1. 0. 1. 1.
1. 0. 1. 1.
1. 0. 1. 1.
column 1 to 11
1. 0. 1. 1. 2. 2. 0.1 0.4 0. 3. 0.
1. 0. 1. 1. 0. 9. 0.45 1.8 2. 3. 0.
1. 0. 1. 1. 0. 3. 0.15 0.6 1. 3. 0.
1. 0. 1. 1. 2. 6. 0.3 1.2 1. 3. 0.
column 12 to 15
1. 0. 1. 1.
1. 0. 1. 1.
1. 0. 1. 1.
1. 0. 1. 1.
MCount = 1
cyc =
123.
New Numbers in POP
column 1 to 11
1. 0. 1. 1. 2. 2. 0.1 0.4 0. 3. 0.
1. 0. 1. 1. 2. 9. 0.45 1.8 2. 3. 0.
1. 0. 1. 1. 2. 3. 0.15 0.6 1. 3. 0.
1. 0. 1. 1. 2. 6. 0.3 1.2 1. 3. 0.
column 12 to 15
1. 0. 1. 1.
1. 0. 1. 1.
1. 0. 1. 1.
1. 0. 1. 1.
FITNESS_ALL = 21.000000
column 1 to 10
1. 0. 1. 1. 2. 6. 0.2857143 0.4 0. 3.
1. 0. 1. 1. 2. 3. 0.1428571 1.8 2. 3.
1. 0. 1. 1. 2. 8. 0.3809524 0.6 1. 3.
1. 0. 1. 1. 2. 4. 0.1904762 1.2 1. 3.
column 11 to 15
0. 1. 0. 1. 1.
0. 1. 0. 1. 1.
0. 1. 0. 1. 1.
0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 6. 0.2857143 1.1428571 1.
1. 0. 1. 1. 2. 3. 0.1428571 0.5714286 1.
1. 0. 1. 1. 2. 8. 0.3809524 1.5238095 2.
1. 0. 1. 1. 2. 4. 0.1904762 0.7619048 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 6. 0.2857143 1.1428571 1.
1. 0. 1. 1. 2. 3. 0.1428571 0.5714286 1.
1. 0. 1. 1. 2. 8. 0.3809524 1.5238095 2.
1. 0. 1. 1. 2. 4. 0.1904762 0.7619048 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 123
column 1 to 9
1. 0. 0. 1. 2. 6. 0.2857143 1.1428571 1.
1. 0. 1. 1. 2. 3. 0.1428571 0.5714286 1.
1. 0. 1. 1. 2. 8. 0.3809524 1.5238095 2.
1. 0. 1. 1. 2. 4. 0.1904762 0.7619048 1.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
cyc =
124.
New Numbers in POP
column 1 to 9
1. 0. 0. 1. 2. 6. 0.2857143 1.1428571 1.
1. 0. 1. 1. 2. 3. 0.1428571 0.5714286 1.
1. 0. 1. 1. 2. 8. 0.3809524 1.5238095 2.
1. 0. 1. 1. 2. 4. 0.1904762 0.7619048 1.
column 10 to 15
1. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
FITNESS_ALL = 41.000000
column 1 to 9
1. 0. 0. 1. 2. 20. 0.4878049 1.1428571 1.
1. 0. 1. 1. 2. 6. 0.1463415 0.5714286 1.
1. 0. 1. 1. 2. 10. 0.2439024 1.5238095 2.
1. 0. 1. 1. 2. 5. 0.1219512 0.7619048 1.
column 10 to 15
1. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 0. 1. 2. 20. 0.4878049 1.9512195 2.
1. 0. 1. 1. 2. 6. 0.1463415 0.5853659 1.
1. 0. 1. 1. 2. 10. 0.2439024 0.9756098 1.
1. 0. 1. 1. 2. 5. 0.1219512 0.4878049 0.
column 10 to 15
1. 0. 1. 0. 0. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 20. 0.4878049 1.9512195 2.
1. 0. 1. 1. 2. 6. 0.1463415 0.5853659 1.
1. 0. 1. 1. 2. 10. 0.2439024 0.9756098 1.
1. 0. 0. 1. 2. 5. 0.1219512 0.4878049 0.
column 10 to 15
1. 0. 1. 0. 0. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
MCount = 1
cyc =
125.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 20. 0.4878049 1.9512195 2.
1. 0. 1. 1. 2. 6. 0.1463415 0.5853659 1.
1. 0. 1. 1. 2. 10. 0.2439024 0.9756098 1.
1. 0. 0. 1. 2. 5. 0.1219512 0.4878049 0.
column 10 to 15
3. 0. 1. 0. 0. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
FITNESS_ALL = 39.000000
column 1 to 9
1. 0. 1. 1. 2. 0. 0. 1.9512195 2.
1. 0. 1. 1. 2. 9. 0.2307692 0.5853659 1.
1. 0. 1. 1. 2. 10. 0.2564103 0.9756098 1.
1. 0. 0. 1. 2. 20. 0.5128205 0.4878049 0.
column 10 to 15
3. 0. 1. 0. 0. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 0. 0. 0. 0.
1. 0. 1. 1. 2. 9. 0.2307692 0.9230769 1.
1. 0. 1. 1. 2. 10. 0.2564103 1.025641 1.
1. 0. 0. 1. 2. 20. 0.5128205 2.0512821 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 0. 1.
column 1 to 9
1. 0. 1. 1. 2. 0. 0. 0. 0.
1. 0. 1. 1. 2. 9. 0.2307692 0.9230769 1.
1. 0. 0. 1. 2. 10. 0.2564103 1.025641 1.
1. 0. 1. 1. 2. 20. 0.5128205 2.0512821 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 0. 1.
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 125
column 1 to 9
1. 0. 1. 1. 2. 0. 0. 0. 0.
0. 0. 1. 1. 2. 9. 0.2307692 0.9230769 1.
1. 0. 0. 1. 2. 10. 0.2564103 1.025641 1.
1. 0. 1. 1. 2. 20. 0.5128205 2.0512821 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 0. 1.
cyc =
126.
New Numbers in POP
column 1 to 9
1. 0. 1. 1. 2. 0. 0. 0. 0.
0. 0. 1. 1. 0. 9. 0.2307692 0.9230769 1.
1. 0. 0. 1. 2. 10. 0.2564103 1.025641 1.
1. 0. 1. 1. 2. 20. 0.5128205 2.0512821 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
3. 0. 1. 0. 0. 1.
FITNESS_ALL = 39.000000
column 1 to 9
1. 0. 1. 1. 2. 6. 0.1538462 0. 0.
0. 0. 1. 1. 0. 10. 0.2564103 0.9230769 1.
1. 0. 0. 1. 2. 20. 0.5128205 1.025641 1.
1. 0. 1. 1. 2. 3. 0.0769231 2.0512821 2.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
3. 0. 1. 0. 0. 1.
column 1 to 9
1. 0. 1. 1. 2. 6. 0.1538462 0.6153846 1.
0. 0. 1. 1. 0. 10. 0.2564103 1.025641 1.
1. 0. 0. 1. 2. 20. 0.5128205 2.0512821 2.
1. 0. 1. 1. 2. 3. 0.0769231 0.3076923 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
column 1 to 9
1. 0. 1. 1. 2. 6. 0.1538462 0.6153846 1.
1. 0. 1. 1. 0. 10. 0.2564103 1.025641 1.
1. 0. 1. 1. 2. 20. 0.5128205 2.0512821 2.
1. 0. 1. 1. 2. 3. 0.0769231 0.3076923 0.
column 10 to 15
3. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
1. 0. 1. 0. 1. 1.
3. 0. 1. 0. 1. 1.
MCount = 1
cyc =
127.
New Numbers in POP FITNESS_ALL = 13.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 127
New Numbers in POP FITNESS_ALL = 41.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 42.000000
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 129
New Numbers in POP FITNESS_ALL = 21.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 14.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 131
New Numbers in POP FITNESS_ALL = 46.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 26.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 133
New Numbers in POP FITNESS_ALL = 16.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 19.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 135
New Numbers in POP FITNESS_ALL = 15.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 10.000000
MCount = 2
mutation point at row = 3 col = 1
Mutation at cycle = 137
New Numbers in POP FITNESS_ALL = 18.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 21.000000
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 139
New Numbers in POP FITNESS_ALL = 27.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 14.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 141
New Numbers in POP FITNESS_ALL = 19.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 27.000000
MCount = 2
mutation point at row = 2 col = 4
Mutation at cycle = 143
New Numbers in POP FITNESS_ALL = 24.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 28.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 145
New Numbers in POP FITNESS_ALL = 36.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 43.000000
MCount = 2
mutation point at row = 3 col = 4
Mutation at cycle = 147
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 23.000000
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 149
New Numbers in POP FITNESS_ALL = 17.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 18.000000
MCount = 2
mutation point at row = 2 col = 2
Mutation at cycle = 151
New Numbers in POP FITNESS_ALL = 10.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 23.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 153
New Numbers in POP FITNESS_ALL = 23.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 16.000000
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 155
New Numbers in POP FITNESS_ALL = 22.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 15.000000
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 157
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 13.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 159
New Numbers in POP FITNESS_ALL = 15.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 21.000000
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 161
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 28.000000
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 163
New Numbers in POP FITNESS_ALL = 33.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 16.000000
MCount = 2
mutation point at row = 3 col = 4
Mutation at cycle = 165
New Numbers in POP FITNESS_ALL = 34.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 19.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 167
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 22.000000
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 169
New Numbers in POP FITNESS_ALL = 37.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 47.000000
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 171
New Numbers in POP FITNESS_ALL = 34.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 173
New Numbers in POP FITNESS_ALL = 21.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 29.000000
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 175
New Numbers in POP FITNESS_ALL = 40.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 45.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 177
New Numbers in POP FITNESS_ALL = 37.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 65.000000
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 179
New Numbers in POP FITNESS_ALL = 47.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 64.000000
MCount = 2
mutation point at row = 3 col = 4
Mutation at cycle = 181
New Numbers in POP FITNESS_ALL = 51.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 67.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 183
New Numbers in POP FITNESS_ALL = 54.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 185
New Numbers in POP FITNESS_ALL = 23.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 29.000000
MCount = 2
mutation point at row = 3 col = 2
Mutation at cycle = 187
New Numbers in POP FITNESS_ALL = 18.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 22.000000
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 189
New Numbers in POP FITNESS_ALL = 33.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 25.000000
MCount = 2
mutation point at row = 3 col = 1
Mutation at cycle = 191
New Numbers in POP FITNESS_ALL = 19.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 23.000000
MCount = 2
mutation point at row = 3 col = 2
Mutation at cycle = 193
New Numbers in POP FITNESS_ALL = 18.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 32.000000
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 195
New Numbers in POP FITNESS_ALL = 25.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 13.000000
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 197
New Numbers in POP FITNESS_ALL = 31.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 51.000000
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 199
New Numbers in POP FITNESS_ALL = 62.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 34.000000
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 201
New Numbers in POP FITNESS_ALL = 59.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 63.000000
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 203
New Numbers in POP FITNESS_ALL = 48.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 63.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 205
New Numbers in POP FITNESS_ALL = 54.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 61.000000
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 207
New Numbers in POP FITNESS_ALL = 51.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 63.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 209
New Numbers in POP FITNESS_ALL = 48.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 43.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 211
New Numbers in POP FITNESS_ALL = 32.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 46.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 213
New Numbers in POP FITNESS_ALL = 40.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 52.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 215
New Numbers in POP FITNESS_ALL = 45.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 80.000000
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 217
New Numbers in POP FITNESS_ALL = 39.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 29.000000
MCount = 2
mutation point at row = 3 col = 4
Mutation at cycle = 219
New Numbers in POP FITNESS_ALL = 30.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 29.000000
MCount = 2
mutation point at row = 4 col = 2
Mutation at cycle = 221
New Numbers in POP FITNESS_ALL = 22.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 18.000000
MCount = 2
mutation point at row = 2 col = 4
Mutation at cycle = 223
New Numbers in POP FITNESS_ALL = 33.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 27.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 225
New Numbers in POP FITNESS_ALL = 45.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 45.000000
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 227
New Numbers in POP FITNESS_ALL = 34.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 229
New Numbers in POP FITNESS_ALL = 41.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 31.000000
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 231
New Numbers in POP FITNESS_ALL = 35.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 21.000000
MCount = 2
mutation point at row = 3 col = 4
Mutation at cycle = 233
New Numbers in POP FITNESS_ALL = 31.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 25.000000
MCount = 2
mutation point at row = 3 col = 2
Mutation at cycle = 235
New Numbers in POP FITNESS_ALL = 27.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 9.000000
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 237
New Numbers in POP FITNESS_ALL = 28.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 12.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 239
New Numbers in POP FITNESS_ALL = 27.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 8.000000
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 241
New Numbers in POP FITNESS_ALL = 39.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 46.000000
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 243
New Numbers in POP FITNESS_ALL = 54.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 64.000000
MCount = 2
mutation point at row = 2 col = 2
Mutation at cycle = 245
New Numbers in POP FITNESS_ALL = 44.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 9.000000
MCount = 2
mutation point at row = 4 col = 3
Mutation at cycle = 247
New Numbers in POP FITNESS_ALL = 39.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 33.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 249
New Numbers in POP FITNESS_ALL = 19.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 18.000000
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 251
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 15.000000
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 253
New Numbers in POP FITNESS_ALL = 23.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 25.000000
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 255
New Numbers in POP FITNESS_ALL = 14.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 31.000000
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 257
New Numbers in POP FITNESS_ALL = 23.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 26.000000
MCount = 2
mutation point at row = 3 col = 4
Mutation at cycle = 259
New Numbers in POP FITNESS_ALL = 29.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 19.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 261
New Numbers in POP FITNESS_ALL = 28.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 32.000000
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 263
New Numbers in POP FITNESS_ALL = 22.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 2
mutation point at row = 3 col = 2
Mutation at cycle = 265
New Numbers in POP FITNESS_ALL = 33.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 16.000000
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 267
New Numbers in POP FITNESS_ALL = 19.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 26.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 269
New Numbers in POP FITNESS_ALL = 42.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 39.000000
MCount = 2
mutation point at row = 2 col = 2
Mutation at cycle = 271
New Numbers in POP FITNESS_ALL = 27.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 34.000000
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 273
New Numbers in POP FITNESS_ALL = 23.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 275
New Numbers in POP FITNESS_ALL = 26.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 10.000000
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 277
New Numbers in POP FITNESS_ALL = 43.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 68.000000
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 279
New Numbers in POP FITNESS_ALL = 67.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 80.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 281
New Numbers in POP FITNESS_ALL = 67.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 64.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 283
New Numbers in POP FITNESS_ALL = 60.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 66.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 285
New Numbers in POP FITNESS_ALL = 80.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 80.000000
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 287
New Numbers in POP FITNESS_ALL = 63.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 38.000000
MCount = 2
mutation point at row = 4 col = 3
Mutation at cycle = 289
New Numbers in POP FITNESS_ALL = 65.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 63.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 291
New Numbers in POP FITNESS_ALL = 64.000000
MCount = 1
Number of Events n * N = 1168