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Hi! After going through your code this is what I noticed:
First of all, the lab request was to implement an Evolution Strategy, such as (1+$\lambda$) or (1,$\lambda$), not an Evolutionary Algorithm, but anyway, the code is very well written and full of comments and explanations on what you're doing and how you're doing it, so props for that.
The implementation of the mutation() and crossover() functions is really nice, especially weighting the fitness of the parents before crossing over.
I would've personally increased the number of games per generation and generations, since changes in Evolutionary Algorithms tend to be slow to appear.
Overall good job on the lab, good luck for the next ones!
The text was updated successfully, but these errors were encountered:
Hi! After going through your code this is what I noticed:
mutation()
andcrossover()
functions is really nice, especially weighting the fitness of the parents before crossing over.Overall good job on the lab, good luck for the next ones!
The text was updated successfully, but these errors were encountered: