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Efficient calculation of Petri net invariants by the Fourier-Motzkin method

机译:傅里叶-莫兹金方法高效计算陪替氏网络不变式

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An invariant of a Petri net N = (P, T, F, α, β) is a |T|-dimensional vector X (a T-invariant) with A·X = 0{top}- (zero vector) or a │P│-dimensional vector Y (a P-invariant) with Y{sup}t·A = 0{top}- for the place-transition incidence matrix A of N. The Fourier-Motzkin (FM) method is well-known for computing all such nonnegative integer invariants. This method, however, has a critical deficiency: no outputs may he given even if invariants exist because of memory overflow in storing intermediary vectors which are candidates for invariants. In order to overcome this deficiency, several ideas to decrease the number of candidate vectors have been proposed. The subject of the paper is to show how to execute FM method efficiently in calculating nonnegative integer invariants. First, appropriate orderling in processing transitions is given. Secondly, a method for deleting candidate vectors and its correctness proof are given. Finally it is experimentally evaluated that these methods incorporated in FM method greatly improve the quality of solutions and reduce the computation time as well as memory size required.
机译:Petri网N =(P,T,F,α,β)的不变量是| T |维向量X(T不变量),A·X = 0 {top}-(零向量)或a │P│维向量Y(P不变量),其中Y {sup} t·A = 0 {top}-用于N的位置转换入射矩阵A。傅立叶-莫兹金(FM)方法是众所周知的用于计算所有此类非负整数不变量。但是,这种方法有一个严重的缺陷:即使存在不变性,也不会给出任何输出,这是因为在存储作为不变式候选的中间向量时内存溢出。为了克服该缺陷,已经提出了几种减少候选向量的数量的想法。本文的主题是展示如何有效地执行FM方法来计算非负整数不变量。首先,给出了处理转换中的适当顺序。其次,给出了一种删除候选向量的方法及其正确性证明。最后,通过实验评估,FM方法中包含的这些方法极大地提高了解决方案的质量,并减少了计算时间以及所需的内存大小。

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