IMPLEMENTATION AND EVALUATION OF HEURISTIC ALGORITHMS FOR REAL-TIME TOURIST ROUTE PLANNING

dc.contributor.author	Iskandarova Dilorom Khayrullayevna
dc.date.accessioned	2025-12-30T07:36:43Z
dc.date.issued	2025-05-16
dc.description.abstract	Real-time tourist route planning is increasingly vital in modern tourism, necessitating algorithms that adapt to dynamic conditions like traffic and user preferences. This study implements and evaluates two heuristic algorithms—genetic algorithms (GA) and simulated annealing (SA)—for real-time route optimization, using Samarkand, Uzbekistan, as a case study, benchmarked against Dijkstra’s algorithm. for hybrid approaches and real-world validation in heritage tourism contexts.
dc.format	application/pdf
dc.identifier.uri	https://europeanscience.org/index.php/2/article/view/1383
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/27256
dc.language.iso	eng
dc.publisher	European Science Publishing
dc.relation	https://europeanscience.org/index.php/2/article/view/1383/1322
dc.rights	https://creativecommons.org/licenses/by-nc/4.0
dc.source	European Journal of Economics, Finance and Business Development; Vol. 3 No. 5 (2025): EJEFBD; 34-40
dc.source	2938-3633
dc.subject	Real-time route planning, heuristic algorithms, genetic algorithms, simulated annealing, Samarkand, tourism optimization.
dc.title	IMPLEMENTATION AND EVALUATION OF HEURISTIC ALGORITHMS FOR REAL-TIME TOURIST ROUTE PLANNING
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

item.page.files

pagination.showing.labelpagination.showing.detail

item.page.filesection.name: khayrullayevna_2025_implementation_and_evaluation_of_heurist.pdf
item.page.filesection.size: 460.88 KB
item.page.filesection.format: Adobe Portable Document Format