Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/14780
Title: Simulation of optimal solutions for assignment problems in the context of incomplete information
Authors: Konopko, E. A.
Конопко, Е. А.
Keywords: Assignment problem;Optimality;Enterprise;Nash equilibrium;Pareto optimum;Worker
Issue Date: 2020
Publisher: American Institute of Physics Inc.
Citation: Zaitseva, I., Malafeyev, O., Konopko, E., Taran, V., Durakova, A. Simulation of optimal solutions for assignment problems in the context of incomplete information // AIP Conference Proceedings. - 2020. - Volume 2293. - Номер статьи 420012
Series/Report no.: AIP Conference Proceedings
Abstract: In this paper, we construct a game-theoretic model related to the problem of optimal assignments. A number of examples are considered in which a compromise point, Nash equilibrium and Pareto optimum are found. For the case of six players, three models were constructed for which solutions of the assignment problem are found based on different optimality principles
URI: http://hdl.handle.net/20.500.12258/14780
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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