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Sharp Heuristic Algorithms for Extracting a Maximum Induced Tree from a Graph

机译:用于从图中提取最大归纳树的Sharp启发式算法

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摘要

The problem of extracting a maximum induced tree of a graph (MAXIT), asks for a vertex set of largest cardinality among those ones each of which induces a tree of a given graph. It is known that this problem is NP-hard, and some heuristic algorithms have been proposed. The paper focuses on algorithms based on enlarging a tree, since they are relatively fast algorithms. The subjects of the paper are the following (1) and (2). (1) Improving selection rules for enlarging a tree so that their solution may be produced, for MAXIT; (2) Comparing their capability by computing experiment.
机译:提取图的最大归纳树(MAXIT)的问题要求在每个归纳图的树中都具有最大基数的顶点集。已知该问题是NP难的,并且已经提出了一些启发式算法。由于它们是相对快速的算法,因此本文重点讨论基于放大树的算法。本文的主题如下(1)和(2)。 (1)改进选择规则,以扩大一棵树,从而为MAXIT产生解决方案; (2)通过计算实验比较其能力。

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