Rural Ecotourism Associative Model to Optimize the Development of the High Andean Tourism Sector in Peru In Peru, tourism has had an average annual growth of 5% in the last 5 years, however, the Huancavelica region has had an average reduction of 2% per year. Castrovirreyna, one of its districts, has 300 monthly arrivals on average, while other locations with lower HDI (Human Development Index), more tourism resources and higher per capita income, have at least twice as many arrivals. This wastage contributes to the degradation and oblivion of the potential tourist attractions and culture of the district. This research seeks local progress from the development of innovation and professionalization of enterprises (SMEs) and entrepreneurs, with the proposal of guidelines for tourism use. To achieve this purpose, it is proposed the implementation of an Associative Ecotourism Model that manages to link the important agents of this local economy to develop innovative, collaborative and sustainable tourism products, services, packages and projects.

An Efficient Heuristic for the Vacation Planning Problem In this paper we define the Vacation Planning Problem (VPP) as an optimization problem whose objective is to find a set of destinations in a specified region, the visiting order of the destinations in the set, and for each destination, a number of days of stay, a proposed hotel area and daily tours, i.e. ordered visits to points of interest, that maximize the satisfaction of the tourist while matching her preferences and respecting her constraints (e.g., the total number of days of stay, daily time budget). To the best of our knowledge, the VPP has not been studied so far in the literature. The problem is NPhard and can be seen as an extension of the Tourist Trip Design Problem and its variants that focuses not only on suggesting personalized tourist routes but also optimal destinations and hotel areas as well as optimal distribution of the days of stay at different destinations, and as a variation of the Orienteering Problem with Hotel Selection. We present a heuristic approach for solving the problem and experimental results proving the efficiency of the approach.