Genetic Algorithm AI [School Project]

This project is a study on genetic algorithms in AI.

The way this works is that a randomly generated population is created at the start from a set of random parents. Then a set of parents are chosen from that based on which two robots are the closest to one of the four "perfect specimens".

Over various generations, mutations will arise according to the chosen percentage, and new parents are chosen until the perfect specimen is generated.

Uses Wenrexa Holo UI Assets

Instructions:
- Click "Generate Population" and then click "Select Parents"

- Continue until perfect specimen is generated

- In order to reset the simulation, the mutation should be set to 100% and a new population should be generated.