A priori TSP in the Scenario Model

M. van Ee, L.J.J. van Iersel, T.M.L. Janssen, R.A. Sitters

Research output: Contribution to JournalArticleAcademicpeer-review


In this paper, we consider the a priori traveling salesman problem (TSP) in the scenario model. In this problem, we are given a list of subsets of the vertices, called scenarios, along with a probability for each scenario. Given a tour on all vertices, the resulting tour for a given scenario is obtained by restricting the solution to the vertices of the scenario. The goal is to find a tour on all vertices that minimizes the expected length of the resulting restricted tour. We show that this problem is already NP-hard and APX-hard when all scenarios have size four. On the positive side, we show that there exists a constant-factor approximation algorithm in three restricted cases: if the number of scenarios is fixed, if the number of missing vertices per scenario is bounded by a constant, and if the scenarios are nested. Finally, we discuss an elegant relation with an a priori minimum spanning tree problem.

Original languageEnglish
Pages (from-to)183-196
Number of pages14
JournalLecture Notes in Computer Science
Publication statusPublished - 2017

Bibliographical note

Proceedings title: Approximation and Online Algorithms: 14th International Workshop, WAOA 2016, Aarhus, Denmark, August 25-26, 2016, Revised Selected Papers
Publisher: Springer
Place of publication: Berlin
Editors: K. Jansen, M. Mastrolilli


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