Mathematical Programming: Series A and B
The cut polytope and the Boolean quadric polytope
Discrete Mathematics
The Stanford GraphBase: a platform for combinatorial computing
The Stanford GraphBase: a platform for combinatorial computing
One Sided Crossing Minimization Is NP-Hard for Sparse Graphs
GD '01 Revised Papers from the 9th International Symposium on Graph Drawing
An approximation algorithm for the two-layered graph drawing problem
COCOON'99 Proceedings of the 5th annual international conference on Computing and combinatorics
GD'05 Proceedings of the 13th international conference on Graph Drawing
Exact Algorithms for the Quadratic Linear Ordering Problem
INFORMS Journal on Computing
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The Two-Sided Crossing Minimization (TSCM) problem calls for minimizing the number of edge crossings of a bipartite graph where the two sets of vertices are drawn on two parallel layers and edges are drawn as straight lines. This well-known problem has important applications in VLSI design and automatic graph drawing. In this paper, we present a new branch-and-cut algorithm for the TSCM problem by modeling it directly to a binary quadratic programming problem. We show that a large number of effective cutting planes can be derived based on a reformulation of the TSCM problem. We compare our algorithm with a previous exact algorithm by testing both implementations with the same set of instances. Experimental evaluation demonstrates the effectiveness of our approach.