First thing, I like how you elaborated your code with classes and functions in the OOP style.
In the approach you used I can see that you used the idea of stagnation through the stagnation_limit variable as an early stopping criteria.
The plot is really useful to show the results, very nice!
One thing I find a bit more complicated to understand for me in terms of result is the part related to the second plot that considers the number of ones in the genome for parent selection. Probably it is my lack of knowledge, but I don't understand the variability of the plot which is going up and down for all the a except for a=1.
Other than that, I find your work well written and well structured, well done!
Hello Alessandro,
First thing, I like how you elaborated your code with classes and functions in the OOP style. In the approach you used I can see that you used the idea of stagnation through the
stagnation_limitvariable as an early stopping criteria. The plot is really useful to show the results, very nice!One thing I find a bit more complicated to understand for me in terms of result is the part related to the second plot that considers the number of ones in the genome for parent selection. Probably it is my lack of knowledge, but I don't understand the variability of the plot which is going up and down for all the a except for a=1.
Other than that, I find your work well written and well structured, well done!