Generation of PN-Model Synthesis Programs with Restrictions

V. P. Kulagin, N. D. Muravyev
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Abstract

The paper proposes a modified algorithm for generating programs for the synthesis of network models expressed in terms of Petri nets [8]. The algorithm is based on the use of boundedly growing strings and the ability to generate them in lexicographic order. To reduce the number of possible synthesis programs, the introduction of limiting conditions imposed on the set partition tree is considered. Taking into account the imposed restrictions, a new tree of smaller dimension is built, which also preserves the lexicographic order of the limitedly growing strings it contains. A comparative assessment of the effectiveness of a new algorithm for generating boundedly growing strings with restrictions and a standard algorithm without restrictions, which is described by D. Knuth, is given. The proposed algorithm can be used to solve problems of synthesizing models of complex computational structures, building parallel systems, parallelizing algorithms and solving other problems related to the creation of efficient distributed systems.
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生成带有限制条件的 PN 模型合成程序
本文提出了一种生成程序的改进算法,用于合成以 Petri 网表示的网络模型 [8]。该算法基于有界增长字符串的使用以及按词典顺序生成字符串的能力。为了减少可能的合成程序数量,我们考虑在集合分区树上引入限制条件。考虑到所施加的限制条件,我们建立了一棵维度更小的新树,它还保留了所包含的有限增长字符串的词法顺序。本文对生成有限制增长字符串的新算法和 D. Knuth 所描述的无限制标准算法的有效性进行了比较评估。所提出的算法可用于解决复杂计算结构模型的合成、并行系统的构建、算法并行化以及与创建高效分布式系统相关的其他问题。
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