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Aspects of selection of SM Components with the application of the theory of hypergraphs

机译:超图理论在SM零件选择方面的应用

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The paper discusses various aspects of selection of State Machine Components of a Petri net with the application of the theory of hypergraphs. First, the idea of selection of SM Components utilising the hypergraph apparatus is presented, then some examples of the exact transversal method, which has been successfully introduced as one of the alternative methods next to the exact algorithms (e.g. backtracking algorithm) that are commonly applied or approximate algorithms (e.g. greedy algorithm). The selection of subnets, which is essential for decomposition, is an NP-hard problem. In addition to the theoretical aspects, the article also presents the experimental research conducted in two phases. The first phase was designed to determine the effect of reduction, called Cyclic-Core, on the type of the selection hypergraph, on the basis of which the exact solution is later determined. The second part of the study deals with the efficiency and effectiveness of the exact transversal method, which provides a reference point, in comparison to the backtracking algorithm. The article has been complemented with a decent summary which includes: the issues discussed, the results of research, as well as references to the further stages of research.
机译:本文利用超图理论讨论了Petri网状态机组件选择的各个方面。首先,介绍了使用超图设备选择SM组件的想法,然后介绍了精确横向方法的一些示例,该示例已成功地作为替代方法之一成功引入,紧随常用的精确算法(例如,回溯算法)或近似算法(例如贪婪算法)。子网的选择对分解至关重要,这是一个NP难题。除了理论方面,本文还介绍了分两个阶段进行的实验研究。第一阶段旨在确定对选择超图的类型的还原效果(称为循环核心),然后根据该效果确定确切的解决方案。研究的第二部分讨论了精确横向方法的效率和有效性,与回溯算法相比,该方法提供了一个参考点。文章还附有不错的摘要,其中包括:讨论的问题,研究结果以及对研究进一步阶段的引用。

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