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In-Depth Information
Table 9.2
Settings for the play tennis problem with nominal attributes.
Number of generations
50
Population size
20
Number of training instances
14
Number of attributes
4
Attribute set
O T H W
Terminal set / Classes
a b
Maximum arity
3
Head length
5
Gene length
16
Mutation rate
0.044
Inversion rate
0.1
IS transposition rate
0.1
RIS transposition rate
0.1
One-point recombination rate
0.3
Two-point recombination rate
0.3
Fitness function
Eq. (3.8)
The evolutionary dynamics of the successful run we are going to analyze is
shown in Figure 9.3. And as you can see, in this run, a perfect solution was
found in generation 5.
14
Best Ind
Avg Fitness
12
10
8
6
4
2
0
0
5
10
15
20
25
30
35
40
45
50
Generations
Figure 9.3.
Progression of average fitness of the population and the fitness of the
best individual for the illustrative run of the play tennis problem.
