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Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/14780
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dc.contributor.authorKonopko, E. A.-
dc.contributor.authorКонопко, Е. А.-
dc.date.accessioned2021-01-21T12:32:56Z-
dc.date.available2021-01-21T12:32:56Z-
dc.date.issued2020-
dc.identifier.citationZaitseva, 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 420012ru
dc.identifier.urihttp://hdl.handle.net/20.500.12258/14780-
dc.description.abstractIn 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 principlesru
dc.language.isoenru
dc.publisherAmerican Institute of Physics Inc.ru
dc.relation.ispartofseriesAIP Conference Proceedings-
dc.subjectAssignment problemru
dc.subjectOptimalityru
dc.subjectEnterpriseru
dc.subjectNash equilibriumru
dc.subjectPareto optimumru
dc.subjectWorkerru
dc.titleSimulation of optimal solutions for assignment problems in the context of incomplete informationru
dc.typeСтатьяru
vkr.instИнститут математики и информационных технологий имени профессора Н.И. Червяковаru
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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