A method to plan group tours with joining and forking

  • Authors:
  • Munenobu Nagata;Yoshihiro Murata;Naoki Shibata;Keiichi Yasumoto;Minoru Ito

  • Affiliations:
  • Nara Institute of Science Technology, Japan;Nara Institute of Science Technology, Japan;Shiga University, Japan;Nara Institute of Science Technology, Japan;Nara Institute of Science Technology, Japan

  • Venue:
  • SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
  • Year:
  • 2006

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Abstract

Group sightseeing has some advantages in terms of required budget and so on. Some travel agents provide package tours of group sightseeing, but participants have to follow a predetermined schedule in tour, and thus there may be no plan which perfectly satisfies the tourist's expectation. In this paper, we formalize a problem to find group sightseeing schedules for each user from given users' preferences and time restrictions corresponding to each destination. We also propose a Genetic Algorithm-based algorithm to solve the problem. We implemented and evaluated the method, and confirmed that our algorithm finds efficient routes for group sightseeing.