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首页> 外文期刊>LIPIcs : Leibniz International Proceedings in Informatics >Exact Algorithms for the Maximum Planar Subgraph Problem: New Models and Experiments
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Exact Algorithms for the Maximum Planar Subgraph Problem: New Models and Experiments

机译:最大平面子图问题的精确算法:新模型和实验

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摘要

Given a graph G, the NP-hard Maximum Planar Subgraph problem asks for a planar subgraph of G with the maximum number of edges. The only known non-trivial exact algorithm utilizes Kuratowski's famous planarity criterion and can be formulated as an integer linear program (ILP) or a pseudo-boolean satisfiability problem (PBS). We examine three alternative characterizations of planarity regarding their applicability to model maximum planar subgraphs. For each, we consider both ILP and PBS variants, investigate diverse formulation aspects, and evaluate their practical performance.
机译:给定图G,NP硬最大平面子图问题要求G的平面子图具有最大的边数。唯一已知的非平凡精确算法利用了Kuratowski著名的平面性标准,可以表述为整数线性程序(ILP)或伪布尔可满足性问题(PBS)。关于平面度对最大平面子图的适用性,我们研究了平面度的三个替代特征。对于每一种,我们都考虑了ILP和PBS变体,研究了各种配方方面,并评估了它们的实际性能。

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