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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Using Statistical Tests for Improving State-of-the-Art Heuristics for the Probabilistic Traveling Salesman Problem with Deadlines
verfasst von : Dennis Weyland, Roberto Montemanni, Luca Maria Gambardella
Erschienen in: Computer Aided Systems Theory – EUROCAST 2011
Verlag: Springer Berlin Heidelberg
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The Probabilistic Traveling Salesman Problem with Deadlines (PTSPD) is a Stochastic Vehicle Routing Problem with a computationally demanding objective function. Currently heuristics using an approximation of the objective function based on Monte Carlo Sampling are the state-of-the-art methods for the PTSPD. We show that those heuristics can be significantly improved by using statistical tests in combination with the sampling-based evaluation of solutions for the pairwise comparison of solutions.