This code is for the tutorial series on how to use the C# framework SharpNEAT to evolve artificial neural networks. The tutorial contains several projects, each demonstrating a different approach. I assume you already have a basic understand of how neural networks and genetic algorithms work.

Part 1 walks you through the basics of how to setup a new experiment, define a fitness evaluator, run the evolution, and use the resulting network in your application.

Part 2 creates a competitive coevolution experiment where the networks evolve by playing against themselves.

Part 3 demonstrates how to use the HyperNEAT algorithm to leverage the geometry of the game board.