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dc.contributor.authorChentsov, A. G.en
dc.date.accessioned2024-04-05T16:26:18Z-
dc.date.available2024-04-05T16:26:18Z-
dc.date.issued2023-
dc.identifier.citationЧенцов, АГ 2023, 'ЗАДАЧА МАРШРУТИЗАЦИИ «НА УЗКИЕ МЕСТА» С СИСТЕМОЙ ПЕРВООЧЕРЕДНЫХ ЗАДАНИЙ', Известия Института математики и информатики Удмуртского государственного университета, Том. 61, стр. 156-186. https://doi.org/10.35634/2226-3594-2023-61-09harvard_pure
dc.identifier.citationЧенцов, А. Г. (2023). ЗАДАЧА МАРШРУТИЗАЦИИ «НА УЗКИЕ МЕСТА» С СИСТЕМОЙ ПЕРВООЧЕРЕДНЫХ ЗАДАНИЙ. Известия Института математики и информатики Удмуртского государственного университета, 61, 156-186. https://doi.org/10.35634/2226-3594-2023-61-09apa_pure
dc.identifier.issn2226-3594-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Bronze3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85162837059&doi=10.35634%2f2226-3594-2023-61-09&partnerID=40&md5=0772b3b0fb8182cbaad9979753758d181
dc.identifier.otherhttps://www.mathnet.ru/php/getFT.phtml?jrnid=iimi&paperid=447&what=fullt&option_lang=engpdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/130571-
dc.description.abstractWe consider a minimax routing problem related to visiting megacities under precedence conditions and cost functions with task list dependence. It is supposed that some megacity system requiring visiting above all is selected. For solving, an approach with decomposition into a set of two minimax routing problems is proposed. A two-step widely understood dynamic programming procedure realizing an optimal composition solution is constructed. The above-mentioned optimality is established by theoretical methods. Application of the results obtained is possible under investigation of multi-stage processes connected with regular allocation of resources. Another variant of application concerns the particular case of one-element megacities (i. e., cities) and may be related to the issues of aviation logistics under organization of flights using one tool (airplane or helicopter) under system of tasks on the realization of passing cargo transportation with prioritization of visits realized above all. © 2023 The Author(s).en
dc.description.sponsorshipMinistry of Education and Science of the Russian Federation, Minobrnauka: 075-02-2023-913en
dc.description.sponsorshipFunding. The work was performed as part of research conducted in the Ural Mathematical Center with the financial support of the Ministry of Science and Higher Education of the Russian Federation (Agreement number 075-02-2023-913).en
dc.format.mimetypeapplication/pdfen
dc.language.isoruen
dc.publisherUdmurt State Universityen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceIzvestiya Instituta Matematiki i Informatiki Udmurtskogo Gosudarstvennogo Universiteta2
dc.sourceIzvestiya Instituta Matematiki i Informatiki Udmurtskogo Gosudarstvennogo Universitetaen
dc.subjectDYNAMIC PROGRAMMINGen
dc.subjectPRECEDENCE CONDITIONSen
dc.subjectROUTEen
dc.titleA bottleneck routing problem with a system of priority tasksen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.type|info:eu-repo/semantics/publishedVersionen
dc.identifier.rsi53741294-
dc.identifier.doi10.35634/2226-3594-2023-61-09-
dc.identifier.scopus85162837059-
local.contributor.employeeChentsov, A.G., Physics and Mathematics, Russian Academy of Science, N.N. Krasovskii Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciences, ul. S. Kovalevskoi, 16, Yekaterinburg, 620219, Russian Federation, Ural Federal University, ul. Mira, 19, Yekaterinburg, 620002, Russian Federationen
local.description.firstpage156-
local.description.lastpage186-
local.volume61-
dc.identifier.wos001005574800009-
local.contributor.departmentPhysics and Mathematics, Russian Academy of Science, N.N. Krasovskii Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciences, ul. S. Kovalevskoi, 16, Yekaterinburg, 620219, Russian Federationen
local.contributor.departmentUral Federal University, ul. Mira, 19, Yekaterinburg, 620002, Russian Federationen
local.identifier.pure39284093-
local.identifier.eid2-s2.0-85162837059-
local.identifier.wosWOS:001005574800009-
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