Моделирование Параметров Целевой Функции для Одной Линейной Сетевой Задачи Обратной Оптимизации

Abstract

The mathematical models of inverse optimization problems for linear generalized flow programming problems with additional constraints of general type are proposed, when the parameters of the objective function unknown. We use the properties of the dual problem and the complementary slackness conditions. We are modeling the parameters of the objective function in accordance with the selected norm so that the feasible solution becomes the optimal.