ABSTRACT
Dynamic optimization techniques reflect a development of the classical optimization programming techniques, which allows for the handling of time variant problems. Optimization over time in a single- or multi-stage decision process is generally formulated as dynamic programming (DP), involving large number of variables under different stages [1-3,5,7].
