|
This article is cited in 5 scientific papers (total in 5 papers)
Multiobjective optimization in a pseudometric objective space as applied to a general model of business activities
R. V. Khachaturov Dorodnicyn Computing Center, Russian Academy of Sciences, Moscow, Russia
Abstract:
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.
Key words:
multiobjective optimization, Pareto set, equivalence set, pseudometric space, inverse problems.
Received: 14.05.2015 Revised: 28.12.2015
Citation:
R. V. Khachaturov, “Multiobjective optimization in a pseudometric objective space as applied to a general model of business activities”, Zh. Vychisl. Mat. Mat. Fiz., 56:9 (2016), 1602–1613; Comput. Math. Math. Phys., 56:9 (2016), 1580–1590
Linking options:
https://www.mathnet.ru/eng/zvmmf10456 https://www.mathnet.ru/eng/zvmmf/v56/i9/p1602
|
Statistics & downloads: |
Abstract page: | 343 | Full-text PDF : | 231 | References: | 78 | First page: | 19 |
|