A priori TSP in the Scenario Model

Conference paper (2017)

Authors

Martijn van Ee Vrije Universiteit Amsterdam
L.J.J. van Iersel Discrete Mathematics and Optimization - EEMCS
T.M.L. Janssen Discrete Mathematics and Optimization - EEMCS
René Sitters Vrije Universiteit Amsterdam
Research Group
Discrete Mathematics and Optimization (EEMCS) (TU Delft)
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Published Date

2017

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Delft Institute of Applied Mathematics

Research Group

Discrete Mathematics and Optimization

Abstract

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.

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