Next: Examples: World as Table; Up: Example: World as Table; Previous: Run2 Contents
Figure 10.3 shows a run with mutation at N/4. Compared to the two preceding examples does the start population not include an element from the goal set.Again one can observe 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_3.eps}](img1087.png)
-->W
W =
1. 3.
2. 1.
3. 2.
-->n=4, l=4,[POP]=popgen(n,l)
POP =
0. 1. 1. 0.
1. 0. 0. 0.
1. 1. 1. 1.
0. 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 =
2.0555556
f1 =
1.9444444
ratio =
0.9459459
tcabin =
- 19.769934
tcw =
- 39.539868
POP =
0. 1. 1. 0. 1. 2. 0.1111111 0. 0. 2.
1. 0. 0. 0. 2. 7. 0.3888889 0. 0. 0.
1. 1. 1. 1. 3. 3. 0.1666667 0. 0. 3.
0. 1. 0. 1. 1. 6. 0.3333333 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)
cyc =
1.
New Numbers in POP
0. 1. 1. 0. 1. 2. 0.1111111 0. 0. 2.
1. 0. 0. 0. 2. 7. 0.3888889 0. 0. 0.
1. 1. 1. 1. 3. 3. 0.1666667 0. 0. 3.
0. 1. 0. 1. 1. 6. 0.3333333 0. 0. 1.
FITNESS_ALL = 17.000000
0. 1. 1. 0. 1. 5. 0.2941176 0. 0. 2.
1. 0. 0. 0. 2. 3. 0.1764706 0. 0. 0.
1. 1. 1. 1. 3. 0. 0. 0. 0. 3.
0. 1. 0. 1. 1. 9. 0.5294118 0. 0. 1.
column 1 to 9
0. 1. 1. 0. 1. 5. 0.2941176 1.1764706 1.
1. 0. 0. 0. 2. 3. 0.1764706 0.7058824 1.
1. 1. 1. 1. 3. 0. 0. 0. 0.
0. 1. 0. 1. 1. 9. 0.5294118 2.1176471 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
3. 0. 1. 1. 1. 1.
1. 0. 0. 1. 0. 1.
column 1 to 9
0. 1. 1. 0. 1. 5. 0.2941176 1.1764706 1.
0. 1. 0. 1. 2. 3. 0.1764706 0.7058824 1.
0. 1. 1. 1. 3. 0. 0. 0. 0.
1. 1. 1. 0. 1. 9. 0.5294118 2.1176471 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
3. 0. 1. 1. 1. 1.
1. 0. 0. 1. 0. 1.
MCount = 0
cyc =
2.
New Numbers in POP
column 1 to 9
0. 1. 1. 0. 1. 5. 0.2941176 1.1764706 1.
0. 1. 0. 1. 1. 3. 0.1764706 0.7058824 1.
0. 1. 1. 1. 1. 0. 0. 0. 0.
1. 1. 1. 0. 3. 9. 0.5294118 2.1176471 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
1. 0. 0. 1. 1. 0.
3. 0. 1. 1. 1. 1.
2. 0. 0. 1. 0. 1.
FITNESS_ALL = 54.000000
column 1 to 9
0. 1. 1. 0. 1. 6. 0.1111111 1.1764706 1.
0. 1. 0. 1. 1. 8. 0.1481481 0.7058824 1.
0. 1. 1. 1. 1. 20. 0.3703704 0. 0.
1. 1. 1. 0. 3. 20. 0.3703704 2.1176471 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
1. 0. 0. 1. 1. 0.
3. 0. 1. 1. 1. 1.
2. 0. 0. 1. 0. 1.
column 1 to 9
0. 1. 1. 0. 1. 6. 0.1111111 0.4444444 0.
0. 1. 0. 1. 1. 8. 0.1481481 0.5925926 1.
0. 1. 1. 1. 1. 20. 0.3703704 1.4814815 1.
1. 1. 1. 0. 3. 20. 0.3703704 1.4814815 1.
column 10 to 15
2. 0. 0. 1. 1. 0.
1. 0. 0. 1. 1. 0.
3. 0. 0. 1. 0. 1.
2. 0. 1. 1. 1. 0.
column 1 to 9
0. 1. 0. 1. 1. 6. 0.1111111 0.4444444 0.
0. 1. 1. 0. 1. 8. 0.1481481 0.5925926 1.
0. 1. 1. 0. 1. 20. 0.3703704 1.4814815 1.
1. 1. 1. 0. 3. 20. 0.3703704 1.4814815 1.
column 10 to 15
2. 0. 0. 1. 1. 0.
1. 0. 0. 1. 1. 0.
3. 0. 0. 1. 0. 1.
2. 0. 1. 1. 1. 0.
MCount = 1
cyc =
3.
New Numbers in POP
column 1 to 9
0. 1. 0. 1. 1. 6. 0.1111111 0.4444444 0.
0. 1. 1. 0. 1. 8. 0.1481481 0.5925926 1.
0. 1. 1. 0. 1. 20. 0.3703704 1.4814815 1.
1. 1. 1. 0. 3. 20. 0.3703704 1.4814815 1.
column 10 to 15
1. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 0. 1.
2. 0. 1. 1. 1. 0.
FITNESS_ALL = 34.000000
column 1 to 9
0. 1. 0. 1. 1. 4. 0.1176471 0.4444444 0.
0. 1. 1. 0. 1. 8. 0.2352941 0.5925926 1.
0. 1. 1. 0. 1. 2. 0.0588235 1.4814815 1.
1. 1. 1. 0. 3. 20. 0.5882353 1.4814815 1.
column 10 to 15
1. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 0. 1.
2. 0. 1. 1. 1. 0.
column 1 to 9
0. 1. 0. 1. 1. 4. 0.1176471 0.4705882 0.
0. 1. 1. 0. 1. 8. 0.2352941 0.9411765 1.
0. 1. 1. 0. 1. 2. 0.0588235 0.2352941 0.
1. 1. 1. 0. 3. 20. 0.5882353 2.3529412 2.
column 10 to 15
1. 0. 0. 1. 0. 1.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 1. 1. 1. 0.
column 1 to 9
0. 1. 1. 0. 1. 4. 0.1176471 0.4705882 0.
0. 1. 1. 0. 1. 8. 0.2352941 0.9411765 1.
1. 1. 1. 0. 1. 2. 0.0588235 0.2352941 0.
0. 1. 0. 1. 3. 20. 0.5882353 2.3529412 2.
column 10 to 15
1. 0. 0. 1. 0. 1.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 1. 1. 1. 0.
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 3
column 1 to 9
0. 1. 1. 0. 1. 4. 0.1176471 0.4705882 0.
0. 1. 1. 0. 1. 8. 0.2352941 0.9411765 1.
1. 1. 0. 0. 1. 2. 0.0588235 0.2352941 0.
0. 1. 0. 1. 3. 20. 0.5882353 2.3529412 2.
column 10 to 15
1. 0. 0. 1. 0. 1.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 1. 1. 1. 0.
cyc =
4.
New Numbers in POP
column 1 to 9
0. 1. 1. 0. 1. 4. 0.1176471 0.4705882 0.
0. 1. 1. 0. 1. 8. 0.2352941 0.9411765 1.
1. 1. 0. 0. 3. 2. 0.0588235 0.2352941 0.
0. 1. 0. 1. 1. 20. 0.5882353 2.3529412 2.
column 10 to 15
2. 0. 0. 1. 0. 1.
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
1. 0. 1. 1. 1. 0.
FITNESS_ALL = 14.000000
column 1 to 9
0. 1. 1. 0. 1. 3. 0.2142857 0.4705882 0.
0. 1. 1. 0. 1. 0. 0. 0.9411765 1.
1. 1. 0. 0. 3. 1. 0.0714286 0.2352941 0.
0. 1. 0. 1. 1. 10. 0.7142857 2.3529412 2.
column 10 to 15
2. 0. 0. 1. 0. 1.
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
1. 0. 1. 1. 1. 0.
column 1 to 9
0. 1. 1. 0. 1. 3. 0.2142857 0.8571429 1.
0. 1. 1. 0. 1. 0. 0. 0. 0.
1. 1. 0. 0. 3. 1. 0.0714286 0.2857143 0.
0. 1. 0. 1. 1. 10. 0.7142857 2.8571429 3.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
1. 0. 0. 1. 0. 1.
column 1 to 9
0. 1. 1. 0. 1. 3. 0.2142857 0.8571429 1.
0. 1. 1. 0. 1. 0. 0. 0. 0.
0. 1. 0. 0. 3. 1. 0.0714286 0.2857143 0.
0. 1. 1. 1. 1. 10. 0.7142857 2.8571429 3.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
1. 0. 0. 1. 0. 1.
MCount = 1
cyc =
5.
New Numbers in POP
column 1 to 9
0. 1. 1. 0. 1. 3. 0.2142857 0.8571429 1.
0. 1. 1. 0. 1. 0. 0. 0. 0.
0. 1. 0. 0. 1. 1. 0.0714286 0.2857143 0.
0. 1. 1. 1. 1. 10. 0.7142857 2.8571429 3.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
3. 0. 0. 1. 0. 1.
FITNESS_ALL = 33.000000
column 1 to 9
0. 1. 1. 0. 1. 2. 0.0606061 0.8571429 1.
0. 1. 1. 0. 1. 9. 0.2727273 0. 0.
0. 1. 0. 0. 1. 2. 0.0606061 0.2857143 0.
0. 1. 1. 1. 1. 20. 0.6060606 2.8571429 3.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
3. 0. 0. 1. 0. 1.
column 1 to 9
0. 1. 1. 0. 1. 2. 0.0606061 0.2424242 0.
0. 1. 1. 0. 1. 9. 0.2727273 1.0909091 1.
0. 1. 0. 0. 1. 2. 0.0606061 0.2424242 0.
0. 1. 1. 1. 1. 20. 0.6060606 2.4242424 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
3. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 0. 1. 2. 0.0606061 0.2424242 0.
0. 1. 1. 0. 1. 9. 0.2727273 1.0909091 1.
0. 1. 1. 1. 1. 2. 0.0606061 0.2424242 0.
0. 1. 1. 0. 1. 20. 0.6060606 2.4242424 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
3. 0. 0. 1. 1. 1.
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 5
column 1 to 9
0. 1. 1. 0. 1. 2. 0.0606061 0.2424242 0.
0. 1. 1. 0. 1. 9. 0.2727273 1.0909091 1.
0. 1. 1. 1. 1. 2. 0.0606061 0.2424242 0.
1. 1. 1. 0. 1. 20. 0.6060606 2.4242424 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
0. 0. 0. 1. 1. 0.
3. 0. 0. 1. 1. 1.
cyc =
6.
New Numbers in POP
column 1 to 9
0. 1. 1. 0. 1. 2. 0.0606061 0.2424242 0.
0. 1. 1. 0. 1. 9. 0.2727273 1.0909091 1.
0. 1. 1. 1. 1. 2. 0.0606061 0.2424242 0.
1. 1. 1. 0. 3. 20. 0.6060606 2.4242424 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
3. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 1.
FITNESS_ALL = 49.000000
column 1 to 9
0. 1. 1. 0. 1. 8. 0.1632653 0.2424242 0.
0. 1. 1. 0. 1. 1. 0.0204082 1.0909091 1.
0. 1. 1. 1. 1. 20. 0.4081633 0.2424242 0.
1. 1. 1. 0. 3. 20. 0.4081633 2.4242424 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
3. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 1.
column 1 to 9
0. 1. 1. 0. 1. 8. 0.1632653 0.6530612 1.
0. 1. 1. 0. 1. 1. 0.0204082 0.0816327 0.
0. 1. 1. 1. 1. 20. 0.4081633 1.6326531 2.
1. 1. 1. 0. 3. 20. 0.4081633 1.6326531 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
3. 0. 0. 1. 1. 0.
2. 0. 1. 1. 1. 0.
column 1 to 9
0. 1. 1. 0. 1. 8. 0.1632653 0.6530612 1.
0. 1. 1. 0. 1. 1. 0.0204082 0.0816327 0.
1. 1. 1. 0. 1. 20. 0.4081633 1.6326531 2.
0. 1. 1. 0. 3. 20. 0.4081633 1.6326531 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
3. 0. 0. 1. 1. 0.
2. 0. 1. 1. 1. 0.
MCount = 1
cyc =
7.
New Numbers in POP
column 1 to 9
0. 1. 1. 0. 1. 8. 0.1632653 0.6530612 1.
0. 1. 1. 0. 1. 1. 0.0204082 0.0816327 0.
1. 1. 1. 0. 3. 20. 0.4081633 1.6326531 2.
0. 1. 1. 0. 1. 20. 0.4081633 1.6326531 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 1. 1. 1. 0.
FITNESS_ALL = 41.000000
column 1 to 9
0. 1. 1. 0. 1. 8. 0.1951220 0.6530612 1.
0. 1. 1. 0. 1. 9. 0.2195122 0.0816327 0.
1. 1. 1. 0. 3. 20. 0.4878049 1.6326531 2.
0. 1. 1. 0. 1. 4. 0.0975610 1.6326531 2.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 1. 1. 1. 0.
column 1 to 9
0. 1. 1. 0. 1. 8. 0.1951220 0.7804878 1.
0. 1. 1. 0. 1. 9. 0.2195122 0.8780488 1.
1. 1. 1. 0. 3. 20. 0.4878049 1.9512195 2.
0. 1. 1. 0. 1. 4. 0.0975610 0.3902439 0.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
column 1 to 9
0. 1. 1. 0. 1. 8. 0.1951220 0.7804878 1.
0. 1. 1. 0. 1. 9. 0.2195122 0.8780488 1.
0. 1. 1. 0. 3. 20. 0.4878049 1.9512195 2.
0. 1. 1. 0. 1. 4. 0.0975610 0.3902439 0.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 7
column 1 to 9
1. 1. 1. 0. 1. 8. 0.1951220 0.7804878 1.
0. 1. 1. 0. 1. 9. 0.2195122 0.8780488 1.
0. 1. 1. 0. 3. 20. 0.4878049 1.9512195 2.
0. 1. 1. 0. 1. 4. 0.0975610 0.3902439 0.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
cyc =
8.
New Numbers in POP
column 1 to 9
1. 1. 1. 0. 3. 8. 0.1951220 0.7804878 1.
0. 1. 1. 0. 1. 9. 0.2195122 0.8780488 1.
0. 1. 1. 0. 1. 20. 0.4878049 1.9512195 2.
0. 1. 1. 0. 1. 4. 0.0975610 0.3902439 0.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
FITNESS_ALL = 30.000000
column 1 to 9
1. 1. 1. 0. 3. 20. 0.6666667 0.7804878 1.
0. 1. 1. 0. 1. 4. 0.1333333 0.8780488 1.
0. 1. 1. 0. 1. 6. 0.2 1.9512195 2.
0. 1. 1. 0. 1. 0. 0. 0.3902439 0.
column 10 to 15
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
column 1 to 9
1. 1. 1. 0. 3. 20. 0.6666667 2.6666667 3.
0. 1. 1. 0. 1. 4. 0.1333333 0.5333333 1.
0. 1. 1. 0. 1. 6. 0.2 0.8 1.
0. 1. 1. 0. 1. 0. 0. 0. 0.
column 10 to 15
2. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
column 1 to 9
1. 1. 1. 0. 3. 20. 0.6666667 2.6666667 3.
1. 1. 1. 0. 1. 4. 0.1333333 0.5333333 1.
0. 1. 1. 0. 1. 6. 0.2 0.8 1.
0. 1. 1. 0. 1. 0. 0. 0. 0.
column 10 to 15
2. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
MCount = 1
cyc =
9.
New Numbers in POP
column 1 to 9
1. 1. 1. 0. 3. 20. 0.6666667 2.6666667 3.
1. 1. 1. 0. 3. 4. 0.1333333 0.5333333 1.
0. 1. 1. 0. 1. 6. 0.2 0.8 1.
0. 1. 1. 0. 1. 0. 0. 0. 0.
column 10 to 15
2. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
FITNESS_ALL = 48.000000
column 1 to 9
1. 1. 1. 0. 3. 20. 0.4166667 2.6666667 3.
1. 1. 1. 0. 3. 20. 0.4166667 0.5333333 1.
0. 1. 1. 0. 1. 4. 0.0833333 0.8 1.
0. 1. 1. 0. 1. 4. 0.0833333 0. 0.
column 10 to 15
2. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 0. 1. 1. 0.
2. 0. 0. 1. 1. 0.
column 1 to 9
1. 1. 1. 0. 3. 20. 0.4166667 1.6666667 2.
1. 1. 1. 0. 3. 20. 0.4166667 1.6666667 2.
0. 1. 1. 0. 1. 4. 0.0833333 0.3333333 0.
0. 1. 1. 0. 1. 4. 0.0833333 0.3333333 0.
column 10 to 15
2. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 0. 1. 1. 0.
column 1 to 9
1. 1. 1. 0. 3. 20. 0.4166667 1.6666667 2.
1. 1. 1. 0. 3. 20. 0.4166667 1.6666667 2.
0. 1. 1. 0. 1. 4. 0.0833333 0.3333333 0.
1. 1. 1. 0. 1. 4. 0.0833333 0.3333333 0.
column 10 to 15
2. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 0. 1. 1. 0.
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 9
column 1 to 9
1. 1. 1. 1. 3. 20. 0.4166667 1.6666667 2.
1. 1. 1. 0. 3. 20. 0.4166667 1.6666667 2.
0. 1. 1. 0. 1. 4. 0.0833333 0.3333333 0.
1. 1. 1. 0. 1. 4. 0.0833333 0.3333333 0.
column 10 to 15
2. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 0. 1. 1. 0.
cyc =
10.
New Numbers in POP
column 1 to 9
1. 1. 1. 1. 3. 20. 0.4166667 1.6666667 2.
1. 1. 1. 0. 3. 20. 0.4166667 1.6666667 2.
0. 1. 1. 0. 1. 4. 0.0833333 0.3333333 0.
1. 1. 1. 0. 3. 4. 0.0833333 0.3333333 0.
column 10 to 15
3. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 0. 1. 1. 0.
FITNESS_ALL = 53.000000
column 1 to 9
1. 1. 1. 1. 3. 8. 0.1509434 1.6666667 2.
1. 1. 1. 0. 3. 20. 0.3773585 1.6666667 2.
0. 1. 1. 0. 1. 5. 0.0943396 0.3333333 0.
1. 1. 1. 0. 3. 20. 0.3773585 0.3333333 0.
column 10 to 15
3. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 1. 1. 1. 0.
2. 0. 0. 1. 1. 0.
column 1 to 9
1. 1. 1. 1. 3. 8. 0.1509434 0.6037736 1.
1. 1. 1. 0. 3. 20. 0.3773585 1.509434 2.
0. 1. 1. 0. 1. 5. 0.0943396 0.3773585 0.
1. 1. 1. 0. 3. 20. 0.3773585 1.509434 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
2. 0. 1. 1. 1. 1.
2. 0. 1. 1. 1. 1.
2. 0. 1. 1. 1. 0.
column 1 to 9
1. 1. 1. 1. 3. 8. 0.1509434 0.6037736 1.
1. 1. 1. 1. 3. 20. 0.3773585 1.509434 2.
1. 1. 1. 0. 1. 5. 0.0943396 0.3773585 0.
1. 1. 1. 1. 3. 20. 0.3773585 1.509434 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
2. 0. 1. 1. 1. 1.
2. 0. 1. 1. 1. 1.
2. 0. 1. 1. 1. 0.
MCount = 1
cyc =
11.
New Numbers in POP
column 1 to 9
1. 1. 1. 1. 3. 8. 0.1509434 0.6037736 1.
1. 1. 1. 1. 3. 20. 0.3773585 1.509434 2.
1. 1. 1. 0. 3. 5. 0.0943396 0.3773585 0.
1. 1. 1. 1. 3. 20. 0.3773585 1.509434 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
2. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 0.
FITNESS_ALL = 31.000000
column 1 to 9
1. 1. 1. 1. 3. 3. 0.0967742 0.6037736 1.
1. 1. 1. 1. 3. 8. 0.2580645 1.509434 2.
1. 1. 1. 0. 3. 20. 0.6451613 0.3773585 0.
1. 1. 1. 1. 3. 0. 0. 1.509434 2.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
2. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 0.
column 1 to 9
1. 1. 1. 1. 3. 3. 0.0967742 0.3870968 0.
1. 1. 1. 1. 3. 8. 0.2580645 1.0322581 1.
1. 1. 1. 0. 3. 20. 0.6451613 2.5806452 3.
1. 1. 1. 1. 3. 0. 0. 0. 0.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
2. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
column 1 to 9
1. 1. 1. 1. 3. 3. 0.0967742 0.3870968 0.
1. 1. 1. 1. 3. 8. 0.2580645 1.0322581 1.
1. 1. 1. 1. 3. 20. 0.6451613 2.5806452 3.
1. 1. 1. 1. 3. 0. 0. 0. 0.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
2. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 11
column 1 to 9
1. 1. 0. 1. 3. 3. 0.0967742 0.3870968 0.
1. 1. 1. 1. 3. 8. 0.2580645 1.0322581 1.
1. 1. 1. 1. 3. 20. 0.6451613 2.5806452 3.
1. 1. 1. 1. 3. 0. 0. 0. 0.
column 10 to 15
3. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
2. 0. 1. 1. 1. 1.
3. 0. 1. 1. 1. 1.
cyc =
12.
New Numbers in POP
column 1 to 9
1. 1. 0. 1. 3. 3. 0.0967742 0.3870968 0.
1. 1. 1. 1. 3. 8. 0.2580645 1.0322581 1.
1. 1. 1. 1. 3. 20. 0.6451613 2.5806452 3.
1. 1. 1. 1. 3. 0. 0. 0. 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. 1. 1.
FITNESS_ALL = 32.000000
column 1 to 10
1. 1. 0. 1. 3. 2. 0.0625 0.3870968 0. 1.
1. 1. 1. 1. 3. 10. 0.3125 1.0322581 1. 3.
1. 1. 1. 1. 3. 10. 0.3125 2.5806452 3. 3.
1. 1. 1. 1. 3. 10. 0.3125 0. 0. 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. 0. 1. 3. 2. 0.0625 0.25 0. 1. 0.
1. 1. 1. 1. 3. 10. 0.3125 1.25 1. 3. 0.
1. 1. 1. 1. 3. 10. 0.3125 1.25 1. 3. 0.
1. 1. 1. 1. 3. 10. 0.3125 1.25 1. 3. 0.
column 12 to 15
1. 1. 0. 1.
1. 1. 1. 1.
1. 1. 1. 1.
1. 1. 1. 1.
column 1 to 11
1. 1. 1. 1. 3. 2. 0.0625 0.25 0. 1. 0.
1. 1. 0. 1. 3. 10. 0.3125 1.25 1. 3. 0.
1. 1. 1. 1. 3. 10. 0.3125 1.25 1. 3. 0.
1. 1. 1. 1. 3. 10. 0.3125 1.25 1. 3. 0.
column 12 to 15
1. 1. 0. 1.
1. 1. 1. 1.
1. 1. 1. 1.
1. 1. 1. 1.
MCount = 1
cyc =
13.
New Numbers in POP
column 1 to 11
1. 1. 1. 1. 3. 2. 0.0625 0.25 0. 3. 0.
1. 1. 0. 1. 3. 10. 0.3125 1.25 1. 1. 0.
1. 1. 1. 1. 3. 10. 0.3125 1.25 1. 3. 0.
1. 1. 1. 1. 3. 10. 0.3125 1.25 1. 3. 0.
column 12 to 15
1. 1. 0. 1.
1. 1. 1. 1.
1. 1. 1. 1.
1. 1. 1. 1.
FITNESS_ALL = 28.000000
column 1 to 10
1. 1. 1. 1. 3. 2. 0.0714286 0.25 0. 3.
1. 1. 0. 1. 3. 6. 0.2142857 1.25 1. 1.
1. 1. 1. 1. 3. 10. 0.3571429 1.25 1. 3.
1. 1. 1. 1. 3. 10. 0.3571429 1.25 1. 3.
column 11 to 15
0. 1. 1. 0. 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. 2. 0.0714286 0.2857143 0.
1. 1. 0. 1. 3. 6. 0.2142857 0.8571429 1.
1. 1. 1. 1. 3. 10. 0.3571429 1.4285714 1.
1. 1. 1. 1. 3. 10. 0.3571429 1.4285714 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. 2. 0.0714286 0.2857143 0.
1. 1. 1. 1. 3. 6. 0.2142857 0.8571429 1.
1. 1. 1. 1. 3. 10. 0.3571429 1.4285714 1.
1. 1. 1. 1. 3. 10. 0.3571429 1.4285714 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 = 1
Mutation at cycle = 13
column 1 to 9
1. 1. 1. 1. 3. 2. 0.0714286 0.2857143 0.
0. 1. 1. 1. 3. 6. 0.2142857 0.8571429 1.
1. 1. 1. 1. 3. 10. 0.3571429 1.4285714 1.
1. 1. 1. 1. 3. 10. 0.3571429 1.4285714 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 =
14.
New Numbers in POP
column 1 to 9
1. 1. 1. 1. 3. 2. 0.0714286 0.2857143 0.
0. 1. 1. 1. 1. 6. 0.2142857 0.8571429 1.
1. 1. 1. 1. 3. 10. 0.3571429 1.4285714 1.
1. 1. 1. 1. 3. 10. 0.3571429 1.4285714 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. 1. 0.0333333 0.2857143 0.
0. 1. 1. 1. 1. 20. 0.6666667 0.8571429 1.
1. 1. 1. 1. 3. 2. 0.0666667 1.4285714 1.
1. 1. 1. 1. 3. 7. 0.2333333 1.4285714 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. 1. 0.0333333 0.1333333 0.
0. 1. 1. 1. 1. 20. 0.6666667 2.6666667 3.
1. 1. 1. 1. 3. 2. 0.0666667 0.2666667 0.
1. 1. 1. 1. 3. 7. 0.2333333 0.9333333 1.
column 10 to 15
MCount = 1
New Numbers in POP FITNESS_ALL = 6.000000
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 15
New Numbers in POP FITNESS_ALL = 14.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 30.000000
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 17
New Numbers in POP FITNESS_ALL = 39.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 9.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 19
New Numbers in POP FITNESS_ALL = 17.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 19.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 21
New Numbers in POP FITNESS_ALL = 23.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 18.000000
MCount = 2
mutation point at row = 3 col = 1
Mutation at cycle = 23
New Numbers in POP FITNESS_ALL = 45.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 15.000000
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 25
New Numbers in POP FITNESS_ALL = 36.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 31.000000
MCount = 2
mutation point at row = 4 col = 3
Mutation at cycle = 27
New Numbers in POP FITNESS_ALL = 15.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 12.000000
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 29
New Numbers in POP FITNESS_ALL = 38.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 55.000000
MCount = 2
mutation point at row = 2 col = 4
Mutation at cycle = 31
New Numbers in POP FITNESS_ALL = 16.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 24.000000
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 33
New Numbers in POP FITNESS_ALL = 41.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 55.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 35
New Numbers in POP FITNESS_ALL = 37.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 69.000000
MCount = 2
mutation point at row = 4 col = 4
Mutation at cycle = 37
New Numbers in POP FITNESS_ALL = 66.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 68.000000
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 39
New Numbers in POP FITNESS_ALL = 60.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 31.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 41
New Numbers in POP FITNESS_ALL = 18.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 43
New Numbers in POP FITNESS_ALL = 11.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 13.000000
MCount = 2
mutation point at row = 3 col = 1
Mutation at cycle = 45
New Numbers in POP FITNESS_ALL = 11.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 27.000000
MCount = 2
mutation point at row = 2 col = 2
Mutation at cycle = 47
New Numbers in POP FITNESS_ALL = 43.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 17.000000
MCount = 2
mutation point at row = 3 col = 2
Mutation at cycle = 49
New Numbers in POP FITNESS_ALL = 40.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 16.000000
MCount = 2
mutation point at row = 3 col = 2
Mutation at cycle = 51
New Numbers in POP FITNESS_ALL = 33.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 19.000000
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 53
New Numbers in POP FITNESS_ALL = 34.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 64.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 55
New Numbers in POP FITNESS_ALL = 45.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 7.000000
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 57
New Numbers in POP FITNESS_ALL = 53.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 80.000000
MCount = 2
mutation point at row = 3 col = 1
Mutation at cycle = 59
New Numbers in POP FITNESS_ALL = 64.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 80.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 61
New Numbers in POP FITNESS_ALL = 63.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 80.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 63
New Numbers in POP FITNESS_ALL = 63.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 36.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 65
New Numbers in POP FITNESS_ALL = 9.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 14.000000
MCount = 2
mutation point at row = 3 col = 2
Mutation at cycle = 67
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 24.000000
MCount = 2
mutation point at row = 3 col = 2
Mutation at cycle = 69
New Numbers in POP FITNESS_ALL = 16.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 25.000000
MCount = 2
mutation point at row = 2 col = 4
Mutation at cycle = 71
New Numbers in POP FITNESS_ALL = 38.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 21.000000
MCount = 2
mutation point at row = 3 col = 1
Mutation at cycle = 73
New Numbers in POP FITNESS_ALL = 33.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 8.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 75
New Numbers in POP FITNESS_ALL = 33.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 67.000000
MCount = 2
mutation point at row = 2 col = 2
Mutation at cycle = 77
New Numbers in POP FITNESS_ALL = 64.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 80.000000
MCount = 2
mutation point at row = 2 col = 4
Mutation at cycle = 79
New Numbers in POP FITNESS_ALL = 60.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 80.000000
MCount = 2
mutation point at row = 3 col = 4
Mutation at cycle = 81
New Numbers in POP FITNESS_ALL = 61.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 80.000000
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 83
New Numbers in POP FITNESS_ALL = 62.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 62.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 85
New Numbers in POP FITNESS_ALL = 45.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 47.000000
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 87
New Numbers in POP FITNESS_ALL = 46.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 66.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 89
New Numbers in POP FITNESS_ALL = 68.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 80.000000
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 91
New Numbers in POP FITNESS_ALL = 70.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 80.000000
MCount = 2
mutation point at row = 3 col = 4
Mutation at cycle = 93
New Numbers in POP FITNESS_ALL = 69.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 80.000000
MCount = 2
mutation point at row = 4 col = 2
Mutation at cycle = 95
New Numbers in POP FITNESS_ALL = 64.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 62.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 97
New Numbers in POP FITNESS_ALL = 42.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 60.000000
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 99
New Numbers in POP FITNESS_ALL = 38.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 38.000000
MCount = 2
mutation point at row = 4 col = 4
Mutation at cycle = 101
New Numbers in POP FITNESS_ALL = 22.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 23.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 103
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 = 1
Mutation at cycle = 105
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 12.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 107
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 = 3
Mutation at cycle = 109
New Numbers in POP FITNESS_ALL = 37.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 30.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 111
New Numbers in POP FITNESS_ALL = 37.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 14.000000
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 113
New Numbers in POP FITNESS_ALL = 18.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 22.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 115
New Numbers in POP FITNESS_ALL = 16.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 21.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 117
New Numbers in POP FITNESS_ALL = 29.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 21.000000
MCount = 2
mutation point at row = 2 col = 3
Mutation at cycle = 119
New Numbers in POP FITNESS_ALL = 24.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 23.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 121
New Numbers in POP FITNESS_ALL = 42.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 34.000000
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 123
New Numbers in POP FITNESS_ALL = 33.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 40.000000
MCount = 2
mutation point at row = 4 col = 1
Mutation at cycle = 125
New Numbers in POP FITNESS_ALL = 37.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 15.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 127
New Numbers in POP FITNESS_ALL = 29.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 8.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 129
New Numbers in POP FITNESS_ALL = 37.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 19.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 131
New Numbers in POP FITNESS_ALL = 10.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 26.000000
MCount = 2
mutation point at row = 1 col = 2
Mutation at cycle = 133
New Numbers in POP FITNESS_ALL = 38.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 61.000000
MCount = 2
mutation point at row = 1 col = 1
Mutation at cycle = 135
New Numbers in POP FITNESS_ALL = 64.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 35.000000
MCount = 2
mutation point at row = 3 col = 4
Mutation at cycle = 137
New Numbers in POP FITNESS_ALL = 21.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 19.000000
MCount = 2
mutation point at row = 2 col = 2
Mutation at cycle = 139
New Numbers in POP FITNESS_ALL = 21.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 27.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 141
New Numbers in POP FITNESS_ALL = 22.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 143
New Numbers in POP FITNESS_ALL = 33.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 23.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 145
New Numbers in POP FITNESS_ALL = 13.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 25.000000
MCount = 2
mutation point at row = 4 col = 2
Mutation at cycle = 147
New Numbers in POP FITNESS_ALL = 28.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 19.000000
MCount = 2
mutation point at row = 3 col = 4
Mutation at cycle = 149
New Numbers in POP FITNESS_ALL = 42.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 20.000000
MCount = 2
mutation point at row = 1 col = 3
Mutation at cycle = 151
New Numbers in POP FITNESS_ALL = 13.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 24.000000
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 153
New Numbers in POP FITNESS_ALL = 28.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 56.000000
MCount = 2
mutation point at row = 2 col = 1
Mutation at cycle = 155
New Numbers in POP FITNESS_ALL = 51.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 66.000000
MCount = 2
mutation point at row = 3 col = 3
Mutation at cycle = 157
New Numbers in POP FITNESS_ALL = 49.000000
MCount = 1
New Numbers in POP FITNESS_ALL = 45.000000
MCount = 2
mutation point at row = 1 col = 4
Mutation at cycle = 159
New Numbers in POP FITNESS_ALL = 49.000000
MCount = 1
Number of Events n * N = 640