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In-Depth Information
1000
900
800
Best Ind
Avg fitness
700
600
500
400
300
200
100
0
0
5
10
15
20
25
30
35
40
45
50
Generations
Figure 6.2. Progression of average fitness of the population and the fitness of the
best individual for a successful run of the experiment summarized in Table 6.2.
///*-aaaaaa*+-**aaaaaa*0+/00111/*0-00011,3-[ 4] = 0
+a*--aaaaaa-/*a-aaaaaa+1*/10101-/*101110,3-[ 5] = 0
+++-/aaaaaa-/*aaaaaaaa/+-011000*+1-01100,1-[ 6] = 0
-*-a-aaaaaa*--++aaaaaa/00/11101/-1100111,3-[ 7] = 0
--a/-aaaaaa-a*/aaaaaaa--1*10101/++/10110,1-[ 8] = 0
//-a+aaaaaa-a/+/aaaaaa-+1100101-+-110101,3-[ 9] = 0
/+*+/aaaaaa*++*-aaaaaa+10+00111-/+-01011,1-[10] = 0
*-/a-aaaaaa+--a+aaaaaa+0-001001/10110101,1-[11] = 0
+*/**aaaaaa*//+*aaaaaa-*1*11100-*/-01000,1-[12] = 0
-a*a-aaaaaa*a-*/aaaaaa-/*100001-/*000000,1-[13] = 0
+a*--aaaaaa/+aa*aaaaaa*+1+01111-**+00100,0-[14] = 24.99622
*aa++aaaaaa-**/+aaaaaa+0*-11010**-011010,1-[15] = 46.24757
--//+aaaaaa/-a-aaaaaaa+-+*00011+*1*01000,1-[16] = 0
+++/aaaaaaa--+/+aaaaaa*11/01000**/010010,0-[17] = 28.95218
*a++aaaaaaa+***aaaaaaa-00-11101*-/000110,1-[18] = 0
*/**-aaaaaa*+/-*aaaaaa+1+001010/0**10100,3-[19] = 0
It is worth noticing that 17 out of 20 individuals of the initial population are
unviable, either because they return calculation errors such as division by
zero (those flagged by “3”) or because they didn't solve a single fitness case
within the chosen selection range of 100% (a total of 10 individuals in the
population above).
 
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