Multi-Objective Partical Swarm Optimization

This bachelor work deals with the difficulties of multi-objective optimization of certain hard mathematical functions and non-traditional approaches for discovering their extremes. Main attention is given to the PSO (Particle Swarm Optimization) algorithm, implementation of which is also part of the bachelor work. The algorithm is modified in a such way, that it automatically builds Pareto-Optimal Set of the solutions. It's performance is compared with NSGA-II genetic algorithm on several test tasks