The $k$-Opt algorithm for the Traveling Salesman Problem has exponential running time for $k \ge 5$

Fuente: arXiv
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Autori principali: Heimann, Sophia, Hoang, Hung P., Hougardy, Stefan
Natura: Preprint
Pubblicazione: 2024
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author Heimann, Sophia
Hoang, Hung P.
Hougardy, Stefan
author_facet Heimann, Sophia
Hoang, Hung P.
Hougardy, Stefan
contents The $k$-Opt algorithm is a local search algorithm for the Traveling Salesman Problem. Starting with an initial tour, it iteratively replaces at most $k$ edges in the tour with the same number of edges to obtain a better tour. Krentel (FOCS 1989) showed that the Traveling Salesman Problem with the $k$-Opt neighborhood is complete for the class PLS (polynomial time local search) and that the $k$-Opt algorithm can have exponential running time for any pivot rule. However, his proof requires $k \gg 1000$ and has a substantial gap. We show the two properties above for a much smaller value of $k$, addressing an open question by Monien, Dumrauf, and Tscheuschner (ICALP 2010). In particular, we prove the PLS-completeness for $k \geq 17$ and the exponential running time for $k \geq 5$.
format Preprint
id arxiv_https___arxiv_org_abs_2402_07061
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The $k$-Opt algorithm for the Traveling Salesman Problem has exponential running time for $k \ge 5$
Heimann, Sophia
Hoang, Hung P.
Hougardy, Stefan
Data Structures and Algorithms
Discrete Mathematics
Combinatorics
68W25, 68W40, 68Q25, 90C27
F.2.2; G.2.1; G.2.2
The $k$-Opt algorithm is a local search algorithm for the Traveling Salesman Problem. Starting with an initial tour, it iteratively replaces at most $k$ edges in the tour with the same number of edges to obtain a better tour. Krentel (FOCS 1989) showed that the Traveling Salesman Problem with the $k$-Opt neighborhood is complete for the class PLS (polynomial time local search) and that the $k$-Opt algorithm can have exponential running time for any pivot rule. However, his proof requires $k \gg 1000$ and has a substantial gap. We show the two properties above for a much smaller value of $k$, addressing an open question by Monien, Dumrauf, and Tscheuschner (ICALP 2010). In particular, we prove the PLS-completeness for $k \geq 17$ and the exponential running time for $k \geq 5$.
title The $k$-Opt algorithm for the Traveling Salesman Problem has exponential running time for $k \ge 5$
topic Data Structures and Algorithms
Discrete Mathematics
Combinatorics
68W25, 68W40, 68Q25, 90C27
F.2.2; G.2.1; G.2.2
url https://arxiv.org/abs/2402.07061