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The Redundancy Problem in Composition of Parallel Finite Automata and Its Optimization Method

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Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications (ECC 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 682))

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Abstract

Parallel finite automata is a formal model which can describe the complex control structure, but its composition model may exist redundant elements. This problem will increase the complexity of model. This paper researched the redundancy problem in the Split-Join composition of parallel finite automata and gave the condition which lead to produce redundant location and transfer. Furthermore, the algorithms which are used to eliminate the redundant location and transfer also was given. Finally, it proved the equivalence of parallel finite automata and finite automata. This conclusion ensures that he verification technology of system which base on the finite automata can be used to parallel finite automata by extension.

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Acknowledgment

This work is supported by Natural Science Foundation of Fujian Province (Nos. 2016J05146 and 2016J05145), National Natural Science Foundation of China (Nos. 61402108 and 61503082), Educational Research Project for Young and Middle-Aged Teachers of Education Department of Fujian Province (No. JA15336), and Scientific Research Development Foundation of Fujian University of Technology (No. GY-Z15087).

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Correspondence to Zheng-Yi Tang .

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Tang, ZY., Wang, JS., Chen, Y., Xue, XS. (2018). The Redundancy Problem in Composition of Parallel Finite Automata and Its Optimization Method. In: Krömer, P., Alba, E., Pan, JS., Snášel, V. (eds) Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications. ECC 2017. Advances in Intelligent Systems and Computing, vol 682. Springer, Cham. https://doi.org/10.1007/978-3-319-68527-4_39

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  • DOI: https://doi.org/10.1007/978-3-319-68527-4_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68526-7

  • Online ISBN: 978-3-319-68527-4

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