Neuroevolution Explained for Beginners

Neuroevolution is a method where computer programs improve neural networks through principles of evolution.

You can imagine it like a digital nature, where many networks compete against each other, and the best networks are further developed.

In the process, properties such as connections and weights are changed, similar to genes in living beings, to achieve better results.

This way, the networks learn to solve complex tasks without a human specifying every step exactly.

Neuroevolution is used, for example, to control robots or master games.