LIPIcs.IPEC.2024.32.pdf
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PACE Solver Description: Martin_J_Geiger
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Martin Josef Geiger 
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19th International Symposium on Parameterized and Exact Computation (IPEC 2024)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: International Symposium on Parameterized and Exact Computation (IPEC) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2024-12-05
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Acknowledgements
We would like to thank the organizers of PACE 2024, namely Philipp Kindermann, Fabian Klute, and Soeren Terziadis, for working really hard for this interesting competition. Besides, our thanks go to the sponsors NETWORKS (https://www.thenetworkcenter.nl/) and the wonderful platform https://optil.io.
Cite As Get BibTex
Martin Josef Geiger. PACE Solver Description: Martin_J_Geiger. In 19th International Symposium on Parameterized and Exact Computation (IPEC 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 321, pp. 32:1-32:4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/LIPIcs.IPEC.2024.32
Abstract
This extended abstract outlines our contribution to the Parameterized Algorithms and Computational Experiments Challenge (PACE), which invited to work on the one-sided crossing minimization problem. Our ideas are primarily based on the principles of Iterated Local Search and Variable Neighborhood Search. For obvious reasons, the initial alternative stems from the barycenter heuristic. This first sequence (permutation) of nodes is then quickly altered/ improved by a set of operators, keeping the elite configuration while allowing for worsening moves and hence, escaping local optima.
Subject Classification
ACM Subject Classification
- Mathematics of computing → Optimization with randomized search heuristics
Keywords
- PACE 2024
- one-sided crossing minimization
- Variable Neighborhood Search
- Iterated Local Search
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References
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