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Maximum ATSP with Weights Zero and One via Half-Edges

Maximum ATSP with Weights Zero and One via Half-Edges We present a fast combinatorial 3/4-approximation algorithm for the maximum asymmetric TSP with weights zero and one. The approximation factor of this algorithm matches the currently best one given by Bläser in 2004 and based on linear programming. Our algorithm first computes a maximum size matching and a maximum weight cycle cover without certain cycles of length two but possibly with half-edges - a half-edge of a given edge e is informally speaking a half of e that contains one of the endpoints of e. Then from the computed matching and cycle cover it extracts a set of paths, whose weight is large enough to be able to construct a traveling salesman tour with the claimed guarantee. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Theory of Computing Systems Springer Journals

Maximum ATSP with Weights Zero and One via Half-Edges

Theory of Computing Systems , Volume 62 (2) – Nov 4, 2017

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References (22)

Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Computer Science; Theory of Computation
ISSN
1432-4350
eISSN
1433-0490
DOI
10.1007/s00224-017-9818-1
Publisher site
See Article on Publisher Site

Abstract

We present a fast combinatorial 3/4-approximation algorithm for the maximum asymmetric TSP with weights zero and one. The approximation factor of this algorithm matches the currently best one given by Bläser in 2004 and based on linear programming. Our algorithm first computes a maximum size matching and a maximum weight cycle cover without certain cycles of length two but possibly with half-edges - a half-edge of a given edge e is informally speaking a half of e that contains one of the endpoints of e. Then from the computed matching and cycle cover it extracts a set of paths, whose weight is large enough to be able to construct a traveling salesman tour with the claimed guarantee.

Journal

Theory of Computing SystemsSpringer Journals

Published: Nov 4, 2017

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