PATHFINDING PROBLEM BASED ON GREEDY ALGORITHMS: ANALYSIS USING DIJKSTRA'S ALGORITHM AS AN EXAMPLE

dc.contributor.authorHamroyeva Ozoda
dc.date.accessioned2025-12-23T16:12:52Z
dc.date.issued2025-06-12
dc.description.abstractThis article analyzes the problem of pathfinding based on greedy algorithms. The main focus is on Dijkstra's algorithm, and its operating principle, advantages, and limitations are considered. The problem of pathfinding is relevant in modern technologies, in particular in the fields of navigation systems, transport logistics, games, and artificial intelligence. Dijkstra's algorithm tries to find the overall optimal path by selecting a local optimal solution at each stage. This article analyzes the theoretical foundations of the algorithm, as well as practical examples. It also justifies the greedy approach of Dijkstra's algorithm and briefly compares it with other pathfinding algorithms.
dc.formatapplication/pdf
dc.identifier.urihttps://brightmindpublishing.com/index.php/ev/article/view/958
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/2922
dc.language.isoeng
dc.publisherBright Mind Publishing
dc.relationhttps://brightmindpublishing.com/index.php/ev/article/view/958/986
dc.rightshttps://creativecommons.org/licenses/by/4.0
dc.sourceEduVision: Journal of Innovations in Pedagogy and Educational Advancements; Vol. 1 No. 6 (2025); 30-38
dc.source3061-6972
dc.subjectGreedy algorithms, Dijkstra's algorithm, pathfinding problem, graph theory, optimal solution, algorithmic approach, navigation systems, transport logistics, artificial intelligence, computer graphics.
dc.titlePATHFINDING PROBLEM BASED ON GREEDY ALGORITHMS: ANALYSIS USING DIJKSTRA'S ALGORITHM AS AN EXAMPLE
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

item.page.files

item.page.filesection.original.bundle

pagination.showing.labelpagination.showing.detail
loading.default
thumbnail.default.alt
item.page.filesection.name
ozoda_2025_pathfinding_problem_based_on_greedy_algo.pdf
item.page.filesection.size
494.59 KB
item.page.filesection.format
Adobe Portable Document Format

item.page.collections