Approximation Ineffectiveness of a Tour-Untangling Heuristic

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Abstract

We analyze a tour-uncrossing heuristic for the Travelling Salesperson Problem, showing that its worst-case approximation ratio is $\Omega(n)$ and its average-case approximation ratio is $\Omega(\sqrt{n})$ in expectation. We furthermore evaluate the approximation performance of this heuristic numerically on average-case instances, and find that it performs far better than the average-case lower bound suggests. This indicates a shortcoming in the approach we use for our analysis, which is a rather common approach in the analysis of local search heuristics.
Original languageEnglish
PublisherArXiv.org
Number of pages13
Publication statusAccepted/In press - 22 Aug 2023

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  • Approximation Ineffectiveness of a Tour-Untangling Heuristic

    Manthey, B. & van Rhijn, J., 22 Dec 2023, Approximation and Online Algorithms - 21st International Workshop, WAOA 2023, Proceedings. Byrka, J. & Wiese, A. (eds.). Cham: Springer, p. 1-13 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14297 LNCS).

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