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I am trying to reproduce the results shown in this paper
I started by looking at the demo.py file, which leads to the train_and_evaluate_mg function in run_ga.py
But it seems this code is only going to perform one "pod" training on one "generation". Indeed, I Don't see any code related to a Genetic Algorithm mentioned in the paper.
It would be great if we could have some hints about how to run the GA strategy…
Thanks
The text was updated successfully, but these errors were encountered:
Hello,
I am trying to reproduce the results shown in this paper
I started by looking at the demo.py file, which leads to the train_and_evaluate_mg function in run_ga.py
But it seems this code is only going to perform one "pod" training on one "generation". Indeed, I Don't see any code related to a Genetic Algorithm mentioned in the paper.
It would be great if we could have some hints about how to run the GA strategy…
Thanks
The text was updated successfully, but these errors were encountered: