On the tour planning problem
- First Online:
- 371 Downloads
Increasingly, tourists are planning trips by themselves using the vast amount of information available on the Web. However, they still expect and want trip plan advisory services. In this paper, we study the tour planning problem in which our goal is to design a tour trip with the most desirable sites, subject to various budget and time constraints. We first establish a framework for this problem, and then formulate it as a mixed integer linear programming problem. However, except when the size of the problem is small, say, with less than 20–30 sites, it is computationally infeasible to solve the mixed-integer linear programming problem. Therefore, we propose a heuristic method based on local search ideas. The method is efficient and provides good approximation solutions. Numerical results are provided to validate the method. We also apply our method to the team orienteering problem, a special case of the tour planning problem which has been considered in the literature, and compare our method with other existing methods. Our numerical results show that our method produces very good approximation solutions with relatively small computational efforts comparing with other existing methods.
KeywordsTour planning problem Team orienteering problem Mixed integer linear programming Heuristic Local search
Unable to display preview. Download preview PDF.
- Buhalis, D. (2003). eTourism: information technology for strategic tourism management. London: Prentice Hall. Google Scholar
- Fesenmainer, D. R., Ricci, F., Schaumlechner, E., Wober, K., & Zanella, C. (2003). DIETORECS: travel advisory for multiple decision styles. In Information and communication technologies in tourism (pp. 232–241). New York: Springer. Google Scholar
- Hannes, W. (2003). Intelligent system in travel and tourism. In Proceedings of international joint conference on artificial intelligence 2003. Google Scholar
- Lin, S. (1965). Computer solutions of the traveling salesman problem. Bell System Technical Journal, 44, 2245–2269. Google Scholar
- Or, I. (1976). Traveling salesman-type combinatorial problems and their relation to the logistics of blood banking. Ph.D. thesis, Department of industrial engineering and management science, Northwest University, Evanston, IL. Google Scholar
- Potvin, J. Y., & Rousseau, J. M. (1995). An exchange heuristic for routing problems with time windows. Journal of Operational Research Society, 46, 1433–1446. Google Scholar
- Ricci, F. (2002). Travel recommender systems. IEEE Intelligent Systems, 17(6), 55–57. Google Scholar
- Ricci, F., & Wether, H. (2002). Case base querying for travel planning recommendation. Information Technology & Tourism, 4(3–4), 215–226. Google Scholar
- Schafer, J. B., Konstan, J., & Riedi, J. (1999). Recommender Systems in e-commerce. In Proceedings of the 1st acm conference on Electronic commerce 1999. Google Scholar
- Souffriau, W., Vansteenwegen, P., Vanden Berghe, G., & Van Oudheusden, D. (2008). A greedy randomized adaptive search procedure for the team orienteering problem. In Proceedings of EU/Meeting 2008, France, 23–24 October 2008. Google Scholar