Hybrid methods in multi-criteria dynamic programming

The paper presents multi-criteria discrete dynamic process consisting of finite states and decision variables. The outcomes of the period criteria function are in the vector valued space. The hybrid algorithms which use ant and genetic algorithms together with the Bellman's principle of optimality are presented. There are numerical results presented for six proposed algorithms in order to verify the developed algorithms.