最小可覆盖性集的新旧算法

IF 0.4 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
A. Valmari, Henri Hansen
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引用次数: 31

摘要

许多计算Petri网最小可覆盖集的算法对期货进行了修剪。也就是说,如果一个新标记严格地覆盖了旧标记,那么不仅旧标记,而且其后续标记的某些子集也会从搜索中被丢弃。在本出版物中,提出了一种更简单的算法,该算法缺乏未来的修剪,并证明是正确的。并与未来修剪进行了性能比较。通过实例证明,两种方法在系统上都不如另一种方法。然而,简单的算法有一些吸引人的特点。它不需要重新构造最小可覆盖性集的修剪过的部分。如果最小可覆盖性集以深度优先或大多数令牌以一阶构造,并且应用了所谓的历史合并,则它会自动提供未来修剪的大部分优势。讨论了最小可覆盖性集构造的一些实现问题。并举例说明了施工顺序及其他实施方面的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Old and New Algorithms for Minimal Coverability Sets
Many algorithms for computing minimal coverability sets for Petri nets prune futures. That is, if a newmarking strictly covers an old one, then not just the old marking but also some subset of its successor markings is discarded from search. In this publication, a simpler algorithm that lacks future pruning is presented and proven correct. 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. It automatically gives most of the advantage of future pruning, if the minimal coverability set is constructed in depth-first or most tokens first order, and if so-called history merging is applied. Some implementation aspects of minimal coverability set construction are also discussed. Some measurements are given to demonstrate the effect of construction order and other implementation aspects.
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来源期刊
Fundamenta Informaticae
Fundamenta Informaticae 工程技术-计算机:软件工程
CiteScore
2.00
自引率
0.00%
发文量
61
审稿时长
9.8 months
期刊介绍: Fundamenta Informaticae is an international journal publishing original research results in all areas of theoretical computer science. Papers are encouraged contributing: solutions by mathematical methods of problems emerging in computer science solutions of mathematical problems inspired by computer science. Topics of interest include (but are not restricted to): theory of computing, complexity theory, algorithms and data structures, computational aspects of combinatorics and graph theory, programming language theory, theoretical aspects of programming languages, computer-aided verification, computer science logic, database theory, logic programming, automated deduction, formal languages and automata theory, concurrency and distributed computing, cryptography and security, theoretical issues in artificial intelligence, machine learning, pattern recognition, algorithmic game theory, bioinformatics and computational biology, quantum computing, probabilistic methods, algebraic and categorical methods.
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