This research aims to present the regional governments with major probability of being visited by a tourist,
national or international, and provide the shortest route to travel between these regions.
The theoretical basis of the study is comprised of the Markov chain issues and Design of Routes. In addition, the
study of the tourism sector which aims to provide information on how it is currently, data collection was based on
internal and external tourist surveys and information provided by travel agencies and tourism.
The application of Markov Chains to the tourist tours is demostrated in formulating national models, that when
they are developing, they offer the chance of arrival of tourists to the different regions.
For the design of routes using the Method or Algorithm "Savings", for which only used the regions with major
probability, obtaining the Tourist Circuits with the least possible travel.
Finally, the results obtained show that the main national road less traveled is: Lima - Arequipa - Puno - Cuzco -
Ica - Lima, and the different routes that follow from it.
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