Crossing reduction in circular layouts

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Abstract

We propose a two-phase heuristic for crossing reduction in circular layouts. While the first algorithm uses a greedy policy to build a good initial layout, an adaptation of the sifting heuristic for crossing reduction in layered layouts is used for local optimization in the second phase. Both phases are conceptually simpler than previous heuristics, and our extensive experimental results indicate that they also yield fewer crossings. An interesting feature is their straightforward generalization to the weighted case. © Springer-Verlag 2004.

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Baur, M., & Brandes, U. (2004). Crossing reduction in circular layouts. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3353, 332–343. https://doi.org/10.1007/978-3-540-30559-0_28

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