Two-stage models of the optimization

Optimization problem under uncertainty conditions is considered. For this model some indexes discribing initial state of optimizing system are unknown. At the first stage the optimizational model is used for identification of the unknown indexes. At the second stage the optimization of the system is made. A new statement of a considered problem is proposed. This statement is based on the optimization of guarantee result after second stage.