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The Working Operation Problem Based on Probe Machine Model

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Book cover Bio-inspired Computing – Theories and Applications (BIC-TA 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 681))

Abstract

The working operation problem is an old problem that it is difficult to effectively solve the combinatorial mathematics. So far this problem has not been completely effectively solved, and it is an non-deterministic polynomial (NP)-complete problem. This paper mainly uses the probe machine model and combines the advantages of the nanometer-material to design a computing model for the working operation problem. It structures a database of the vertex and edge, then encodes as a probe library. Using computing platforms to get the solution to be tested, and finding all vertices of the directed Hamilton path which is the solution of the problem. The probe machine is a parallel computing model starting from the bottom; thereby it can improve the effectiveness of the calculation in theory.

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References

  1. Xu, J.: Probe machine. IEEE T. Neur. Net. Lear. 27(7), 1405–1416 (2016)

    Article  MathSciNet  Google Scholar 

  2. Turing, A.: On computable numbers, with an application to the Entscheidungsproblem. P. Lond. Math. Soc. 2(1), 230–265 (1937)

    Article  MATH  MathSciNet  Google Scholar 

  3. Zhang, C., Yang, J., Xu, J.: Self-assembly of DNA/nanoparticles molecular logic calculation model. Chin. Sci. Bull. 27, 2276–2282 (2011)

    Google Scholar 

  4. Xu, J., Li, Z.P., Zhu, E.Q.: Research progress of maximum plane graph theory. Chin. J. Comput. 8, 1680–1704 (2015)

    Google Scholar 

  5. Huang, X.H., Yin, Z.X., Zhi, L.Y.: Molecularbeacon based on DNA computing model for 0–1 programming problem. In: Bio-inspired Computing, pp. 1–5 (2009)

    Google Scholar 

  6. Shi, X., Wang, Z., Deng, C., Song, T., Pan, L., Chen, Z.: A novel bio-sensor based on DNA strand displacement. PloS ONE 9(10), e108856 (2014)

    Article  Google Scholar 

  7. Shi, X., Chen, C., Li, X., Song, T., Chen, Z., Zhang, Z., Wang, Y.: Size controllable DNA nanoribbons assembled from three types of reusable brick single-strand DNA tiles. 11(43), 8484–8492 (2015)

    Google Scholar 

  8. Shi, X., Wu, X., Song, T., Li, X.: Construction of DNA nanotubes with controllable diameters and patterns by using hierarchical DNA sub-tiles. Nanoscale. doi:10.1039/C6NR02695H

    Google Scholar 

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Acknowledgment

This work is supported CNSF (Grant number: 61672001).

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Authors and Affiliations

  1. School of Science, Anhui University of Science and Technology, Huainan, 232001, Anhui, China

    Jing Yang & Zhixiang Yin

Authors
  1. Jing Yang
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  2. Zhixiang Yin
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Corresponding author

Correspondence to Jing Yang .

Editor information

Editors and Affiliations

  1. Xidian University, Xi’an, China

    Maoguo Gong

  2. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  3. China University of Petroleum, Qingdao, China

    Tao Song

  4. Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, China

    Gexiang Zhang

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© 2016 Springer Nature Singapore Pte Ltd.

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Yang, J., Yin, Z. (2016). The Working Operation Problem Based on Probe Machine Model. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 681. Springer, Singapore. https://doi.org/10.1007/978-981-10-3611-8_6

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  • DOI: https://doi.org/10.1007/978-981-10-3611-8_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3610-1

  • Online ISBN: 978-981-10-3611-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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