Using evolution to evolve a minimax connect4 AI.
As a twist to the connect4 algorithms I've written earlier, this project uses the basic principles of genetics and evolution to create the best minimax heuristic for playing connect4 given predefined features. First a generation of agents (Connect4 bots) with random DNA is created. A function that calculates the fitness (how well each agent performs) is then used to determine the probability that an agent will produce an offspring. Then a second generation is created from the original agents along with some mutation. The process repeats with each iteration improving the general performance of the population.
git clone https://github.com/sshh12/Genetic-Connect4.gitpip install numpy
python main.py