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An Experimental Study of Crossing Minimization Heuristics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 2912 13-24
DOI: 10.1007/978-3-540-24595-7_2
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Abstract

We present an extensive experimental study of heuristics for crossing minimization. The heuristics are based on the planarization approach, so far the most successful framework for crossing minimization. We study the effects of various methods for computing a maximal planar subgraph and for edge re-insertion including post-processing and randomization. © Springer-Verlag 2004.

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Gutwenger, G., & Mutzel, P. (2004). An Experimental Study of Crossing Minimization Heuristics. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2912, 13–24. https://doi.org/10.1007/978-3-540-24595-7_2

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