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 |
Files in This Item:
File | Description | Size | Format | |
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scopusresults 1513 .pdf Restricted Access | 64.83 kB | Adobe PDF | View/Open | |
WoS 1083 .pdf Restricted Access | 139.42 kB | Adobe PDF | View/Open |
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