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A Logic-Based Approach to Solve the Steiner Tree Problem

机译:基于逻辑的解决斯坦纳树问题的方法

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Boolean satisfiability (SAT) is a well-studied N P-complete problem for formulating and solving other combinatorial problems like planning and scheduling. The Steiner tree problem (STP) asks to find a minimal cost tree in a graph that spans a set of nodes. STP has been shown to be N P-hard. In this paper, we propose to solve the STP by formulating it as a variation of SAT, and to solve it using a heuristic search method guided by the backbone of the problem. The algorithm is tested on a well known set of benchmark instances. Experimental results demonstrate the applicability of the proposed approach, and show that substantial quality improvement can be obtained compared to other heuristic methods.
机译:布尔可满足性(SAT)是一个经过充分研究的NP完全问题,用于制定和解决其他组合问题,例如计划和调度。 Steiner树问题(STP)要求在跨越一组节点的图中找到最小成本树。 STP已显示为N P-hard。在本文中,我们建议通过将STP公式化为SAT的变体来解决STP,并使用一种基于问题主干的启发式搜索方法来解决它。该算法在一组众所周知的基准实例上进行了测试。实验结果证明了该方法的适用性,并表明与其他启发式方法相比,可以获得质量上的显着提高。

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