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During the implementation of the tournament selection method, the training costs of the two selected individuals are different. The second path individual trains a different net weights baseed on what the first individual has trained. So the second individual always have more training epochs than the first one. It may be wrong when both individuals are compared.
The text was updated successfully, but these errors were encountered:
This algorithm as I remember, is to use trained NN in previous task.
I can't fully understand second have more training epochs, but when both tasks are similar or commonsense, trained NN in first task helps training for second task.
During the implementation of the tournament selection method, the training costs of the two selected individuals are different. The second path individual trains a different net weights baseed on what the first individual has trained. So the second individual always have more training epochs than the first one. It may be wrong when both individuals are compared.
The text was updated successfully, but these errors were encountered: