Bayesovské evoluční algoritmy s aplikacemi v úlohách dekompozice a alokace, zkrácená verze habilitační práce

Multiobjective optimization problems, decomposition and allocationproblems, classical optimization methods, genetic algorithms,probabilistic models, bivariate marginal distribution algorithm,bayesian networks, Bayesian-Dirichlet metric, binary decision diagrams,scoring metrics, bayesian evolutionary algorithms.

The habilitation thesis "Bayesian evolutionary algorithms applied indecomposition and allocation problems" deals with the design, analysisand applications of Bayesian evolutionary algorithms for the solutionof complex almost NP-complete combinatorial optimization problemsmainly from the area of decomposition and allocation of graphstructures. Bayesian evolutionary algorithms are advanced evolutionaryalgorithms based on the probabilistic graph models. These algorithmslack the well known problem of the standard genetic algorithms with theconvergence and the drawback arising from the requirement on thespecification of the control parameters and genetic operators.