On the tour planning problem

Chenbo Zhu, J. Hu (), Fengchun Wang, Yifan Xu and Rongzeng Cao

Annals of Operations Research, 2012, vol. 192, issue 1, 67-86

Abstract: 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. Copyright Springer Science+Business Media, LLC 2012

Keywords: Tour planning problem; Team orienteering problem; Mixed integer linear programming; Heuristic; Local search (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10479-010-0763-5

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