Presentation Title

Tabu Search Applied to Community-based Rural Tourism

Presenter Status

Dra.Sc. Gladys Maquera

Second Presenter Status

Bach. Óscar Mendoza

Presentation Type

Oral Presentation

Session

A

Location

Chan Shun 108

Start Date

18-5-2017 10:30 AM

End Date

18-5-2017 10:50 AM

Presentation Abstract

Community-based Rural Tourism (CBRT) has been consolidated as a socially and environmentally responsible alternative in Peru for generating income opportunities for the rural sector. The development of CBRT is still incipient in Peru, and therefore the information generated by public and private institutions is insufficient and in some cases does non-exist. Worldwide, 91% of people use the Internet to find places to visit. However, the use of the Internet brings new challenges for the tourism industry. Different types of consumers, such as Baby Boomers, Generation X and Generation Y, present different challenges. Generation Y is the most active and much more involved in Internet travel planning. With regard to information on ecotourism and / or historic tourism in the Puno region of Peru, there is no information on the web, much less routes according to the needs of tourists. The objective of this work is to develop an Intelligent Digital Platform to apply data science and big data to find smart routes that satisfy tourists' requirements. To obtain the route, a nearest neighbor heuristic was implemented, using 2-opt and the Tabu Search metaheuristic implemented in Python programming language. Computational results demonstrate the efficiency of the Tabu Search algorithm when using data found in the literature and when using real data, guaranteeing the reduction of distances traveled in the shortest time possible, reducing travel costs.

Biographical Sketch

Glover, F. and Laguna, M., (1997). Tabu Search. XIX, 382. New York. eBook ISBN978-1-4615-6089-0

Maquera, G., et al (2011). Scatter Search Applied to the Vehicle Routing Problem with Simultaneous Delivery and Pickup. International Journal of Applied Metaheuristic Computing, 2(2), 1-20, April-June.

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May 18th, 10:30 AM May 18th, 10:50 AM

Tabu Search Applied to Community-based Rural Tourism

Chan Shun 108

Community-based Rural Tourism (CBRT) has been consolidated as a socially and environmentally responsible alternative in Peru for generating income opportunities for the rural sector. The development of CBRT is still incipient in Peru, and therefore the information generated by public and private institutions is insufficient and in some cases does non-exist. Worldwide, 91% of people use the Internet to find places to visit. However, the use of the Internet brings new challenges for the tourism industry. Different types of consumers, such as Baby Boomers, Generation X and Generation Y, present different challenges. Generation Y is the most active and much more involved in Internet travel planning. With regard to information on ecotourism and / or historic tourism in the Puno region of Peru, there is no information on the web, much less routes according to the needs of tourists. The objective of this work is to develop an Intelligent Digital Platform to apply data science and big data to find smart routes that satisfy tourists' requirements. To obtain the route, a nearest neighbor heuristic was implemented, using 2-opt and the Tabu Search metaheuristic implemented in Python programming language. Computational results demonstrate the efficiency of the Tabu Search algorithm when using data found in the literature and when using real data, guaranteeing the reduction of distances traveled in the shortest time possible, reducing travel costs.