Journal
COMPUTERS & OPERATIONS RESEARCH
Volume 36, Issue 12, Pages 3281-3290Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cor.2009.03.008
Keywords
Iterated local search; Team orienteering problem with time windows; Meta-heuristics
Categories
Funding
- Fonds Wetenschappelijk Onderzoek-Vlaanderen (FWO)
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A personalised electronic tourist guide assists tourists in planning and enjoying their trip. The planning problem that needs to be solved, in real-time, can be modelled as a team orienteering problem with time windows (TOPTW). In the TOPTW, a set of locations is given, each with a score, a service time and a time window. The goal is to maximise the sum of the collected scores by a fixed number of routes. The routes allow to visit locations at the right time and they are limited in length. The main contribution of this paper is a simple, fast and effective iterated local search meta-heuristic to solve the TOPTW. An insert step is combined with a shake step to escape from local optima. The specific shake step implementation and the fast evaluation of possible improvements, produces a heuristic that performs very well on a large and diverse set of instances. The average gap between the obtained results and the best-known solutions is only 1.8% and the average computation time is decreased with a factor of several hundreds. For 31 instances, new best solutions are computed. (C) 2009 Elsevier Ltd. All rights reserved.
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