Nature of Code 9.01 - Shakespeare Example: Contribution/Question

Contribution:
A Java version of the Shakespeare Genetic Algorithm Challenge:

[https://github.com/BartholemeuChamberlain/Shakespeare-Genetic-Algorithm](url)

I added a piece of functionality to the DNA's ability to retain correct answers, specifically in the Mutation function. After converting from the Processing language to Java, I noticed that the program was not evolving after thousands of generations. Debugging through the DNA code, I noticed that the Mutation function was doing its job TOO well. This function was replacing the correct answers that the system was guessing. So I added the functionality that would skip the correct characters and only mutate the wrong answers (still based on the mutation rate). After this change, the system was able to get the correct answer in approx. 80 generations

Question:
Does this adjustment still follow proper Genetic Algorithm principles,? If not what adjustment should I have considered before this change?

- Thanks!

Inizia esaminando l’implementazione collegata di Java Shakespeare Genetic Algorithm, in particolare la funzione DNA Mutation, e confrontane il comportamento con quello della versione Processing descritta nell’issue. Determina se saltare i caratteri già corretti rimane coerente con i principi degli algoritmi genetici; il lavoro è completato quando viene fornita una risposta chiara o una modifica consigliata.

Scritto dal modello di indicizzazione a partire dal testo della issue.