The Partition into Plane Subgraphs Problem (PPS) asks to partition the edges of a geometric graph with straight line segments into as few classes as possible, such that the line segments within a class do not cross. We discuss our approach GC-SLIM: a local search method that views PPS as a graph coloring problem and tackles it with a new and unique combination of propositional satisfiability (SAT) and tabu search, achieving the fourth place in the 2022 CG:SHOP Challenge.
@InProceedings{schidler:LIPIcs.SoCG.2022.74, author = {Schidler, Andr\'{e}}, title = {{SAT-Based Local Search for Plane Subgraph Partitions}}, booktitle = {38th International Symposium on Computational Geometry (SoCG 2022)}, pages = {74:1--74:8}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-227-3}, ISSN = {1868-8969}, year = {2022}, volume = {224}, editor = {Goaoc, Xavier and Kerber, Michael}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2022.74}, URN = {urn:nbn:de:0030-drops-160829}, doi = {10.4230/LIPIcs.SoCG.2022.74}, annote = {Keywords: graph coloring, plane subgraphs, SAT, logic, SLIM, local improvement, large neighborhood search} }
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