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Old and New Algorithms for Minimal Coverability Sets

机译:最小覆盖范围集的新旧算法

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摘要

Many algorithms for computing minimal coverability sets for Petri nets prune futures. That is, if a new marking strictly covers an old one, then not just the old marking but also some subset of its subsequent markings is discarded from search. In this publication, a simpler algorithm that lacks future pruning is presented and proven correct. Then its performance is compared with future pruning. It is demonstrated, using examples, that neither approach is systematically better than the other. However, the simple algorithm has some attractive features. It never needs to re-construct pruned parts of the minimal coverability set. If the minimal coverability set is constructed in depth-first or most tokens first order, and if so-called history merging is applied, then most of the advantage of future pruning is automatic. Some implementation aspects of minimal coverability set construction are also discussed.
机译:用于计算Petri网修剪期货的最小可覆盖性集的许多算法。也就是说,如果新标记严格覆盖了旧标记,那么不仅会从搜索中丢弃旧标记,还会丢弃其后续标记的某些子集。在此出版物中,提出了一种更简单的算法,该算法缺乏未来的修剪功能,并被证明是正确的。然后将其性能与将来的修剪进行比较。通过示例证明,这两种方法在系统上都不比另一种更好。但是,简单算法具有一些吸引人的特征。无需重新构建最小可覆盖性集的修剪部分。如果最小覆盖范围集以深度优先或大多数令牌为第一顺序构造,并且如果应用了所谓的历史合并,则将来修剪的大部分优势都是自动的。还讨论了最小可覆盖性集构造的一些实现方面。

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  • 来源
  • 会议地点 Hamburg(DE)
  • 作者

    Antti Valmari; Henri Hansen;

  • 作者单位

    Department of Software Systems, Tampere University of Technology P.O. Box 553, FI-33101 Tampere, Finland;

    Department of Software Systems, Tampere University of Technology P.O. Box 553, FI-33101 Tampere, Finland;

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  • 正文语种 eng
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