EVOLUTIONARY ALGORITHMS FOR THE PROBLEM OF OPTIMAL CONTROL

Abstract

The paper describes some of the popular evolutionary algorithms: genetic algorithms, differential evolution method, particle swarm optimization and bat-inspired method. With the help of these algorithms the problem of optimal control of a mobile robot is solved. For comparison the same problem is solved with the algorithm of fast gradient descent and random search. The computational experiments showed that evolutionary algorithms provide more accurate results for the optimal control problems than fast gradient descent algorithm.