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Improved Bounds for the Binary Paint Shop Problem

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Computing and Combinatorics (COCOON 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14423))

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Abstract

We improve bounds for the binary paint shop problem posed by Meunier and Neveu [Computing solutions of the paintshop-necklace problem. Comput. Oper. Res. 39, 11 (2012), 2666-2678]. In particular, we disprove their conjectured upper bound for the number of color changes by giving a linear lower bound. We show that the recursive greedy heuristics is not optimal by providing a tiny improvement. We also introduce a new heuristics, recursive star greedy, that a preliminary analysis shows to be 10% better.

A. Kabela—Supported by project 20-09525S of the Czech Science Foundation.

R. Šámal—Partially supported by grant 22-17398S of the Czech Science Foundation. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 810115).

P. Valtr—Supported by the grant no. 23-04949X of the Czech Science Foundation.

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References

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Acknowledgments

Our attention to the paint shop problem was brought by a nice talk given by Winfried Hochstättler at Midsummer combinatorial workshop in Prague (MCW2017). We thank him and the organizers of the workshop. This research was started during workshop KAMAK 2017, we are grateful to its organizers.

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Correspondence to P. Valtr .

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Hančl, J., Kabela, A., Opler, M., Sosnovec, J., Šámal, R., Valtr, P. (2024). Improved Bounds for the Binary Paint Shop Problem. In: Wu, W., Tong, G. (eds) Computing and Combinatorics. COCOON 2023. Lecture Notes in Computer Science, vol 14423. Springer, Cham. https://doi.org/10.1007/978-3-031-49193-1_16

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  • DOI: https://doi.org/10.1007/978-3-031-49193-1_16

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