2016
DOI: 10.1016/j.ejor.2016.05.031
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Solving the stochastic time-dependent orienteering problem with time windows

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Cited by 44 publications
(16 citation statements)
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“…The experimental data shows that the coverage and accuracy of the system in this paper have been greatly improved, and the comprehensive performance has been further optimized [1][2][3] really become a leisure sport in modern life. As a new sport, orienteering refers to athletes using North needle and map to nd the location of each point on the drawing, and reach all points in the shortest time to win the game.…”
Section: Introductionmentioning
confidence: 92%
“…The experimental data shows that the coverage and accuracy of the system in this paper have been greatly improved, and the comprehensive performance has been further optimized [1][2][3] really become a leisure sport in modern life. As a new sport, orienteering refers to athletes using North needle and map to nd the location of each point on the drawing, and reach all points in the shortest time to win the game.…”
Section: Introductionmentioning
confidence: 92%
“…Zhang et al [12] regarded wait time at a customer as random variables, and tailored a variable neighborhood search for OPTW. Verbeeck et al [13] focused on the stochastic time-dependent orienteering problem with time windows, designed a stochastic ant colony system. However, the premise of probability theory is that the cumulative frequency distribution is close enough to the true probability, that is to say, there must be enough sampling data.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Verbeeck, Aghezzaf, and Vansteenwegen (2014) provided a fast solution method for the TDOP based on an ant colony optimization algorithm. Recently, Verbeeck, Vansteenwegen, and Aghezzaf (2016) presented an ant colony optimization based algorithm for the stochastic variant of the TDOP, which is addressed as the stochastic time-dependent orienteering problem with time windows. For more details about the OP and its variants, readers are referred to Vansteenwegen, Souffriau, and Oudheusden (2011) and Gunawan, Lau, and Vansteenwegen (2016) .…”
Section: The Traveling Salesman Problem With Profits (Tsp With Profits)mentioning
confidence: 99%