Skip to main content

A DNA Solution on Surface for Minimal Set Covering Problem

  • Conference paper
Pervasive Computing and the Networked World (ICPCA/SWS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8351))

  • 3044 Accesses

Abstract

This paper gets DNA computing mechanism and realization through DNA molecular structure. It proposes a DNA solution on surface for minimal set covering problem, and presents specific applications and algorithm evaluation. All possible results are listed in the surface of the calculation template, which, at the same time, are verified whether the results meet the conditions for the realization of the strong parallelism of DNA computing. Meanwhile, when complementary oligonucleotide gather nucleotide clips occur, it should be decided whether to hybridize through the catalyst, reducing human intervention and improving efficiency. Finally, computer simulations demonstrate the feasibility of the model.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Adleman, L.M.: Molecular computation of solution tocombinatorial problems. Science (266), 1021–1024 (1994)

    Google Scholar 

  2. Bard, J.F., Purnomo, H.W.: Preference Scheduling for nurses using column generation. European Journal of Operational Research 164, 510–534 (2005)

    Article  MATH  Google Scholar 

  3. Roweis, S., Winfree, E., Burgoyne, R., et al.: A sticker based architecture for dnacomputation. In: Proceedings of the Second Annual Meeting on DNA Based Computers. DIM ACS: Series in Discrete Mathematics and Theoretical ComputerScience, p. 127. American Mathematical Society, Princeton (1996)

    Google Scholar 

  4. Wenbin, L., Lin, G., et al.: Surface of DNA computing model of the maximum matching problem. Electronics (10) (2003)

    Google Scholar 

  5. Cui, L., Xuncai, Z.: Of coding sequences in DNA computing optimization design project. Computer Science Research (7), 195–198 (2007)

    Google Scholar 

  6. Xun, Z., Hailan, Z., et al.: Research progress and prospect of DNA computing. Computer Engineering and Applications 43 (2007)

    Google Scholar 

  7. Yang, Y., Shiping, S., et al.: DNA molecular computing and advances in DNA computer, vol. 53. Chinese Science Bulletin, Beijing (2008)

    Google Scholar 

  8. Gull, Z.X., Wenbin, L., et al.: Study on calculation of DNA coding and algorithm. Electronics 7 (2007)

    Google Scholar 

  9. Mingtao, W., Chunming, Y., et al.: For minimum set cover problem based on DNA paste model. Journal of University of Shanghai for Science 30, 121–124 (2008)

    Google Scholar 

  10. Yafei, T., Jiaxiu, Z.: Improved sticker model minimum point covering problem. Journal of Electronics and Information 27 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Zang, W., Liu, X., Li, X. (2014). A DNA Solution on Surface for Minimal Set Covering Problem. In: Zu, Q., Vargas-Vera, M., Hu, B. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2013. Lecture Notes in Computer Science, vol 8351. Springer, Cham. https://doi.org/10.1007/978-3-319-09265-2_74

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-09265-2_74

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09264-5

  • Online ISBN: 978-3-319-09265-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics