Multiobjective optimization in a pseudometric objective space as applied to a general model of business activities


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It is shown that finding the equivalence set for solving multiobjective discrete optimization problems is advantageous over finding the set of Pareto optimal decisions. An example of a set of key parameters characterizing the economic efficiency of a commercial firm is proposed, and a mathematical model of its activities is constructed. In contrast to the classical problem of finding the maximum profit for any business, this study deals with a multiobjective optimization problem. A method for solving inverse multiobjective problems in a multidimensional pseudometric space is proposed for finding the best project of firm’s activities. The solution of a particular problem of this type is presented.

Sobre autores

R. Khachaturov

Dorodnicyn Computing Center

Autor responsável pela correspondência
Email: rv_khach@yahoo.ie
Rússia, ul. Vavilova 40, Moscow, 119333

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