Estimation of distribution algorithms (EDA), sometimes called probabilistic model-building genetic algorithms (PMBGA), are stochastic optimization methods that guide the search for the optimum by building and sampling explicit probabilistic models of promising candidate solutions. This framework is built for master thesis in Faculty of Electrical Engineering and Compunting in University of Zagreb.