Software for Building an Optimal Tourist Route Using Machine Learning Methods

This graduate qualification work is devoted to the development of software for building an optimal tourist route through the regions of Russia using machine learning methods. The work analysed tourist routes based on economic, socio-cultural and natural-territorial factors of the considered region. And also algorithms for finding the optimal tourist route on the basis of genetic algorithms were developed. As a result of the work, a software package generating the most attractive tourist routes based on the developed algorithms on big data analysis and computer calculation of the optimal traveller's path was implemented. The results are reflected on the map of regions in the web application. The work is concluded with recommendations on how to apply the developed model for planning tourist trips. Scope of work: 61668 characters, 23 figures, 10 tables, 26 sources