License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.CP.2021.30
URN: urn:nbn:de:0030-drops-153212
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/15321/
Isoart, Nicolas ;
RĂ©gin, Jean-Charles
A k-Opt Based Constraint for the TSP
Abstract
The LKH algorithm based on k-opt is an extremely efficient algorithm solving the TSP. Given a non-optimal tour in a graph, the idea of k-opt is to iteratively swap k edges of this tour in order to find a shorter tour. However, the optimality of a tour cannot be proved with this method. In that case, exact solving methods such as CP can be used. The CP model is based on a graph variable with mandatory and optional edges. Through branch-and-bound and filtering algorithms, the set of mandatory edges will be modified. In this paper, we introduce a new constraint to the CP model named mandatory Hamiltonian path constraint searching for k-opt in the mandatory Hamiltonian paths. Experiments have shown that the mandatory Hamiltonian path constraint allows us to gain on average a factor of 3 on the solving time. In addition, we have been able to solve some instances that remain unsolved with the state of the art CP solver with a 1 week time out.
BibTeX - Entry
@InProceedings{isoart_et_al:LIPIcs.CP.2021.30,
author = {Isoart, Nicolas and R\'{e}gin, Jean-Charles},
title = {{A k-Opt Based Constraint for the TSP}},
booktitle = {27th International Conference on Principles and Practice of Constraint Programming (CP 2021)},
pages = {30:1--30:16},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-211-2},
ISSN = {1868-8969},
year = {2021},
volume = {210},
editor = {Michel, Laurent D.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2021/15321},
URN = {urn:nbn:de:0030-drops-153212},
doi = {10.4230/LIPIcs.CP.2021.30},
annote = {Keywords: TSP, k-opt, 1-tree, Constraint}
}
Keywords: |
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TSP, k-opt, 1-tree, Constraint |
Collection: |
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27th International Conference on Principles and Practice of Constraint Programming (CP 2021) |
Issue Date: |
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2021 |
Date of publication: |
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15.10.2021 |