Particle Swarm Optimization: Implementace a testování biologicky inspirované optimalizační metody

This thesis analyzes the implementation of a testing algorithm, Particle Swarm Optimization, biologically inspired optimization method. Introduce us briefly with evolutionary algorithms, analyzes in detail the PSO algorithm and its parameters. Testing is performed on numerical, nominal, and binary data. The application contains graphical user interface. The algorithm is compared with genetic algorithm at the end and results are appropriately discussed