Biologically Inspired Algorithms

The course will discuss a wider range of evolutionary computing techniques. Both historically classical techniques and modern algorithms will be mentioned. Evolutionary algorithms and swarm intelligence such as simulated annealing, genetic algorithm, differential evolution, particle swarm, SOMA and others will be discussed. In the second part, the student gets acquainted with symbolic regression and its use in the synthesis of algorithms, classifiers or control programs. After completing the course, the student should have comprehensive knowledge of the above areas, including the possibility of their use. Part of the course is laboratory exercises, in which students will practice both programmings of selected algorithms and their application to solving practical problems.