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AN IMPROVED APPROXIMATION ALGORITHM FOR THE ASYMMETRIC TRAVELING SALESMAN PROBLEM.

Authors :
TRAUB, VERA
VYGEN, JENS
Source :
SIAM Journal on Computing. 2022, Vol. 51 Issue 1, p139-173. 35p.
Publication Year :
2022

Abstract

We revisit the constant-factor approximation algorithm for the asymmetric traveling salesman problem by Svensson, Tarnawski, and V\'egh [J. ACM, 67 (2020), 37]. We improve on each part of this algorithm. We avoid the reduction to irreducible instances and thus obtain a simpler and much better reduction to vertebrate pairs. We also show that a slight variant of their algorithm for vertebrate pairs has a much smaller approximation ratio. Overall we improve the approximation ratio from 506 to 22 + ε for any ε > 0. This also improves the upper bound on the integrality ratio from 319 to 22. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00975397
Volume :
51
Issue :
1
Database :
Academic Search Index
Journal :
SIAM Journal on Computing
Publication Type :
Academic Journal
Accession number :
155447947
Full Text :
https://doi.org/10.1137/20M1339313