INVERSE OPTIMIZATION PROBLEMS FOR NONLINEAR MODELS ON GENERALIZED NETWORK

摘要

In this paper we propose mathematical models of the inverse optimization for finding the optimal parameters of the objective function for nonlinear models on generalized network in according to the selected norm. The parameters of the objective function are adjusted as little as possible so, that the feasible solution becomes the optimal solution for the new values parameters.