Implementation of a real physical object control controller using methods of the neuroevolutionary algorithm NEAT

Abstract

Implementation of a real physical object control controller using methods of the neuroevolutionary algorithm NEAT

Abuzyarov A.A., Makarov A.A.

Incoming article date: 06.09.2023

In this experiment, a solver (NEAT) and a simulator (an inverted pendulum cart object) are implemented, where the solver will influence the object in order to keep it in a stable state, i.e. don't let the pendulum fall. The main objective of the experiment is to study the possibility of implementing a simulator of a real physical object and use it to determine the target function of the neuroevolutionary algorithm NEAT. Solving this problem will make it possible to implement controllers based on the NEAT algorithm, capable of controlling real physical objects.

Keywords: machine learning, non-revolutionary algorithms, genetic algorithms, neural networks