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Approximating TSP with Neighborhoods in Doubling Metrics

Hubert Chan
Max-Planck-Institut für Informatik - D1
AG1 Mittagsseminar (own work)
AG 1, AG 4, RG1, MMCI, AG 3, AG 5, SWS  
AG Audience
English

Date, Time and Location

Tuesday, 16 June 2009
13:00
30 Minutes
E1 4
023
Saarbrücken

Abstract

We consider the Traveling Salesman Problem with Neighborhoods (TSPN) in doubling metrics. The goal is to find a shortest tour that visits each of a collection of n subsets (regions or neighborhoods) in the underlying metric space. We give a QPTAS when the regions are what we call α-fat weakly disjoint. This notion combines the existing notions of diameter variation, fatness and disjointness for geometric objects and generalizes these notions to any arbitrary metric space. Intuitively, the regions can be grouped into a bounded number of types, where in each type, the regions have diameters within α factor of one another, and each such region can designate a point such that these points are far away from one another.

Contact

Hubert Chan
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Hubert Chan, 06/09/2009 12:34 -- Created document.