Modeling parameters of the lower and upper bounds and parameters of the objective function for generalized network flow programming problems | Zendy

Л. А. Пилипчук | Zendy; А. С. Пилипчук | Zendy

Open Access

Modeling parameters of the lower and upper bounds and parameters of the objective function for generalized network flow programming problems

Author(s) -

Л. А. Пилипчук,

А. С. Пилипчук

Publication year - 2015

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.177

H-Index - 75

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.4936745

Subject(s) - upper and lower bounds , mathematical optimization , linear programming , flow network , function (biology) , computer science , inverse , inverse problem , flow (mathematics) , mathematics , linear fractional programming , mathematical analysis , geometry , evolutionary biology , biology

In this paper, we propose the mathematical models of the inverse optimization for modeling parameters of the lower and upper bounds and parameters of the objective function for one generalized inhomogeneous linear network flow programming problem under a norm. We have considered the numerical example of modeling of the parameters of the lower and upper bounds, where new parameters are adjusted as little as possible so, that the infeasible solution becomes the feasible solution for the new values parameters

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