PACE Solver Description: LUNCH - Linear Uncrossing Heuristics

Authors Kenneth Langedal , Matthias Bentert, Thorgal Blanco , Pål Grønås Drange



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Author Details

Kenneth Langedal
  • University of Bergen, Norway
Matthias Bentert
  • University of Bergen, Norway
Thorgal Blanco
  • University of Bergen, Norway
Pål Grønås Drange
  • University of Bergen, Norway

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Kenneth Langedal, Matthias Bentert, Thorgal Blanco, and Pål Grønås Drange. PACE Solver Description: LUNCH - Linear Uncrossing Heuristics. In 19th International Symposium on Parameterized and Exact Computation (IPEC 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 321, pp. 34:1-34:4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/LIPIcs.IPEC.2024.34

Abstract

The 2024 PACE challenge is on One-Sided Crossing Minimization: Given a bipartite graph with one fixed and one free layer, compute an ordering of the vertices in the free layer that minimizes the number of edge crossings in a straight-line drawing of the graph. Here, we briefly describe our exact, parameterized, and heuristic submissions. The main contribution is an efficient reduction to a weighted version of Directed Feedback Arc Set, allowing us to detect subproblems that can be solved independently.

Subject Classification

ACM Subject Classification
  • Theory of computation → Design and analysis of algorithms
Keywords
  • graph drawing
  • feedback arc set
  • algorithm engineering

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References

  1. Kenneth Langedal. KennethLangedal/PACE2024-UiB: pace-2024, June 2024. URL: https://doi.org/10.5281/zenodo.11540761.
  2. Eugene L. Lawler. A comment on minimum feedback arc sets. IEEE Transactions on Circuit Theory, 11(2):296-297, 1964. Google Scholar
  3. Sungju Park and Sheldon B. Akers. An efficient method for finding a minimal feedback arc set in directed graphs. In 1992 IEEE International Symposium on Circuits and Systems, volume 4, pages 1863-1866. IEEE, 1992. Google Scholar
  4. Marek Piotrów. UWrMaxSat: Efficient solver for MaxSAT and pseudo-boolean problems. In 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), pages 132-136. IEEE, 2020. URL: https://doi.org/10.1109/ICTAI50040.2020.00031.
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