We consider the problem of the minimum genus of a graph, a fundamental measure of non-planarity. We propose the first formulations of this problem as an integer linear program (ILP) and as a satisfiability problem (SAT). These allow us to develop the first working implementations of general algorithms for the problem, other than exhaustive search. We investigate several different ways to speed-up and strengthen the formulations; our experimental evaluation shows that our approach performs well on small to medium-sized graphs with small genus, and compares favorably to other approaches.
CITATION STYLE
Beyer, S., Chimani, M., Hedtke, I., & Kotrbčík, M. (2016). A practical method for the minimum genus of a graph: Models and experiments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9685, pp. 75–88). Springer Verlag. https://doi.org/10.1007/978-3-319-38851-9_6
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