A New GA-Based Real Time Controller for the Classical Cart-Pole Balancing Problem

摘要

This paper introduces a new application of the genetic algorithm for online control application. It acts as a model free optimization technique that belongs to the class of reinforcement learning. Its concepts and structure is first investigated and then the ability of this algorithm is highlighted by an application in a real-time control (pole balancing) problem. The simulation results approves the better the merit of the proposed technique.