Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

lab 9 peer review - Paul-Raphael Spazzola Moracchini #4

Open
Paul-Raphael opened this issue Dec 9, 2023 · 0 comments
Open

lab 9 peer review - Paul-Raphael Spazzola Moracchini #4

Paul-Raphael opened this issue Dec 9, 2023 · 0 comments

Comments

@Paul-Raphael
Copy link

Hello,

Here are some little comments and thoughts about your work for lab 9.
Your code follows the basic idea of EA which is a good thing for understandability and to make sure to not go wrong, however it could have been good considering the fact that the objective is to optimise the number of fitness calls to only do the crossovers between parents to create children or a mutation on a parent to create a children and not the two things consecutively which loses the interest of having high fitness parents because the offsprings can become very different.
Also implementing multi cut crossovers could have been a good way to make your code more efficient but overall I loved what you did.

Keep going and good luck for your next lab !

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant