Application of comparability graphs in decomposition of Petri nets

R. Wiśniewski, A. Karatkevich, M. Adamski, D. Kur
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引用次数: 19

Abstract

In the article we present a new algorithm of Petri net decomposition into State Machine Components (SMCs). The idea bases on the application of the comparability graph theory. The comparability graphs are classified as a subclass of the perfect graphs and have unique properties. If a graph belongs to the comparability class, many problems (like graph coloring, maximal clique problem) can be solved in polynomial time. Therefore, if the sequentiality graph of a Petri net belongs to comparability class, the whole decomposition process turns to be polynomial. The preliminary experiments have demonstrated the effectiveness of the proposed idea. Over 90% of concurrency and sequentiality graphs of tested benchmarks belong to the comparability class. The efficiency is even higher if the Petri net class is reduced to the EFC (Extended Free-Choice).
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比较图在Petri网分解中的应用
本文提出了一种新的Petri网分解为状态机组件的算法。这种思想是基于可比性图论的应用。可比性图是完美图的一个子类,具有独特的性质。如果一个图属于可比性类,许多问题(如图着色、最大团问题)可以在多项式时间内解决。因此,如果Petri网的序列图属于可比性类,则整个分解过程变为多项式。初步实验证明了该方法的有效性。超过90%的测试基准的并发性和顺序性图属于可比性类。如果将Petri网类简化为EFC(扩展自由选择),效率甚至更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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