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A stamina-aware sightseeing tour scheduling method

Published: 12 July 2011 Publication History

Abstract

In general, a tour schedule is composed of multiple sightseeing spots taking into account the user' s preferences. However, during the tour, the stamina of the tourists may be exhausted. In this paper, we propose a sightseeing scheduling method that maximizes the degree of user satisfaction taking stamina into account. In our method, break times are allocated in the schedule to satisfy the stamina constraint. Since this problem implies a TSP and thus is NP-hard, it is difficult to solve in practical time. To calculate a semi-optimal solution in practical time, we propose a method that first composes a schedule visiting multiple sightseeing spots without considering stamina, and then, to recover stamina, allocates break times, based on a predatory search technique. To evaluate the proposed method, we compared our method through a simulation experiment with some conventional methods including a brute-force method. As a result, the proposed method composed a schedule in practical time whose expected degree of satisfaction was near the optimum.

References

[1]
Wu, B., Murata, Y., Shibata, N., Yasumoto, K., Ito, M., "A Method for Composing Tour Schedules Adaptive to Weather Change", Proc. of 2009 IEEE Intelligent Vehicles Symposium (IV'09), pp. 1407--1412 (June 2009).
[2]
Liu, C., Wang, D., "Predatory search algorithm with restriction of solution distance", Biological Cybernetics, Vol. 92, No. 5, pp. 293--302 (2005).

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Published In

cover image ACM Conferences
GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
July 2011
1548 pages
ISBN:9781450306904
DOI:10.1145/2001858

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2011

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Author Tags

  1. local search
  2. metaheuristics
  3. time-tabling and scheduling

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