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dc.contributor.author Iliukhin A.N.
dc.contributor.author Galiullin L.A.
dc.date.accessioned 2021-02-25T20:36:14Z
dc.date.available 2021-02-25T20:36:14Z
dc.date.issued 2020
dc.identifier.issn 0974-3154
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/161991
dc.description.abstract © International Research Publication House Describes the work on modern scientific achievements in graph theory, studying the developed algorithms, comparing their advantages and disadvantages, the reason for choosing the Ford-Bellman algorithm as a tool for solving the problem. The principle of the Ford-Bellman Algorithm and its structure were also described. The works on designing the architecture of Ford-Bellman algorithms in C # language, designing a class hierarchy for geometric objects modeling graphs, designing a model that implements three-dimensional geometric space were described. The architecture of the graphical interface and the hierarchy of its classes were also described. The paper describes the implementation of the model, which searches for the shortest route between any two points of the graph, the implementation of the graphical interface through which the algorithm is controlled. As a result of the work, the design and development of the application for finding the shortest route in a weighted connected pseudograph was carried out. The algorithm has been tested. The algorithm works and successfully performs the task. The algorithm was encapsulated and allocated to a separate class library, which makes it possible to use it in many other projects of different industries. It can be used for engineering calculations in which the problem can be represented as a graph; in tasks where it is necessary to find the shortest path from one point to another; in robotics and systems with artificial intelligence.
dc.relation.ispartofseries International Journal of Engineering Research and Technology
dc.subject Automation
dc.subject Map
dc.subject Method
dc.subject Programming
dc.subject Route
dc.title Method for optimal route
dc.type Article
dc.relation.ispartofseries-issue 11
dc.relation.ispartofseries-volume 13
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 3546
dc.source.id SCOPUS09743154-2020-13-11-SID85097910214


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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