GeneticAlgorithmPython VS Koi

Docs: https://pygad.readthedocs.io

Depending on how complex you want this system, you could look at how live stock breeding is modelled. For example https://github.com/ahmedfgad/GeneticAlgorithmPython

PyGAD is

My pleasure! I'm assuming you're working in Python, so this repo looks like it could be promising (disclaimer: I haven't used it).

The user can use the tqdm library to show a progress bar. https://github.com/ahmedfgad/GeneticAlgorithmPython/discussions/50

Thanks for mentioning PyGAD. OP Please reach out in case any help is needed to get started with PyGAD: https://pygad.readthedocs.io

PyGAD is an open-sources Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

You can find more in the documentation: https://pygad.readthedocs.io

The code examples in this r/Paperspace tutorial are implemented in Python using the PyGAD library.

PyGAD, a Python library for building the genetic algorithm, played CoinTex and was able to pass a complex level with 2 monsters moving randomly and some thrown fires.

The entire game is also open source.

I've used this technique to make my game Koi Farm.

Speaking of Koi Farm, Koi Farm has its source open on GitHub: https://github.com/jobtalle/Koi

Koi farm (already out on Steam) is coming to iOS, and we're looking for a few more testers.

GitHub link for those interested.

I've asked many other game developers about their opinion on publishing source code, since this rarely happens. Opinions vary, although the consensus is that there is no strong reason to either do it or not do it. Therefore, this is a bit of an experiment. I hope it facilitates modding, and maybe I can merge some mods into the base game. The code is released under the Apache 2.0 with Commons Clause license, meaning anyone is free to do what they want with the code except for selling it.