Using evolution algorithms for creating AI controllers for tank models

Title: Using genetic algorithms to create AI tank model controllers Author: Denis Šijanov Department: Department of Software and Computer Science Education Supervisor: Mgr. Jakub Gemrot, Ph.D., Department of Software and Computer Science Education Abstract: Genetic algorithm is a general procedure designed for solving equations that do not have an algorithm or a better way of solving them yet. In addition this process can be explained even by using simple examples, which makes it an interesting exercise for students of computer science. The students may encounter varying forms of publication of these algorithms such as videos or controlled simulations. These forms of presentation may help the subjects understand the basic principles of an algorithm, but they are not interactive. The students therefore can't apply their ideas and find out what impact on the algorithm they would have had. Details such as these are very important when trying to understand genetic algorithms. There are applications which solve user defined problems by using genetic algorithms. They demonstrate the usability of the algorithm, but they do not help the users understand the algorithm. The most efficient way to understand genetic algorithms in my opinion is to write one on your own. This is why I have decided to create an..