A Method for Generating Multiple Tour Routes Balancing User Satisfaction and Resource Consumption
- Autores: Yodai Hirano, Hirohiko Suwa, Keiichi Yasumoto
- Localización: Intelligent environments 2019: Workshop Proceedings of the 15th International Conference on Intelligent Environments / coord. por Andrés Muñoz Ortega, Sofia Ouhbi, Wolfgang Minker, Loubna Echabbi, Miguel Navarro Cía, 2019, ISBN 9781614999836, págs. 180-189
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
In general, it is a complicated and time-consuming task for a tourist to plan a satisfactory sightseeing tour, because he/she must take into account var- ious factors and constraints (e.g., budget, available time, etc) at the same time. This difficulty comes from the fact that there is a trade-off between the satisfac- tion/experience obtained by the sightseeing tour and the resource consumed for the tour, hence the optimal solution is not unique. To help decision making, it is desir- able to show the tourist a variety of solutions (i.e., tours) considering the trade-off in various ways, but to the best of our knowledge, no existing methods/systems provide such a wide variety of solutions. In this paper, we formulate the sightseeing tour recommendation as a multi-objective optimization problem with money, time and stamina consumption of a tourist and satisfaction degree obtained by the tourist as independent variables. Since this problem is NP-hard, we propose a heuristic al- gorithm to quickly obtain semi-pareto optimal solutions based on genetic algorithm NSGA-II. We applied the proposed method to planning tours targeting 30 tourist spots in Higashiyama-area of Kyoto, Japan. As a result, our algorithm could output semi-pareto optimal solutions in reasonable time.
