Skip to main content

A Shortest Path Algorithm with Constraints in Networks

  • Conference paper
Book cover Applied Informatics and Communication (ICAIC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 227))

Included in the following conference series:

  • 1738 Accesses

Abstract

The paper deals with the shortest path problem with Constraints, and it is NP-complete problem. The problem is formulated as an optimization model. To solve this model Lagrangean relaxation algorithm is adopted. For the solution of the dual problem a subgradient method is used. The general algorithm steps for our problem are presented, and a numerical example on communication network is given to illustrate the effectiveness of the algorithm.

This work is supported by the fund of department of education of Hubei province. (No. D20102904), and doctoral fund of huanggang normal university (No. 09CD158).

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Topkis, D.M.: A k Shortest Path Algorithm for Adaptive Routing in Communications Networks. IEEE Transactions on communications 36(1), 855–859 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  2. Santos, L., et al.: An improved solution algorithm for the constrained shortest path problem. Transportation Research Part B 41, 756–771 (2007)

    Article  Google Scholar 

  3. Li, Y.: On the models and algorithms for finding dissimilar shortest paths in a traffic network. In: The 7th National Operation Research Conference of China, Qingdao, China, p. 8 (2004)

    Google Scholar 

  4. Garey, M.S., Johnson, D.S.: Computers and intractability: a guide to the theory of NP-completeness. Freeman, W.H, Oxford (1979)

    MATH  Google Scholar 

  5. Wang, S.-H.: An improved stepsize of the subgradient algorithm for solving the lagrangian relaxation problem. Computers and Electrical Engineering 29, 245–249 (2003)

    Article  MATH  Google Scholar 

  6. Lemaréchal, C.: Lagrangian relaxation. In: Jünger, M., Naddef, D. (eds.) Computational Combinatorial Optimization. LNCS, vol. 2241, pp. 112–156. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  7. Fisher, M.L.: The Lagrangian Relaxation Method for Solving Integer Programming Problems. Management Science 50(12), 1861–1871 (2004)

    Article  Google Scholar 

  8. Beasley, J., Christofides, N.: An algorithm for the resource constrained shortest path problem. Networks 19, 379–394 (1989)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

He, F., Dai, K. (2011). A Shortest Path Algorithm with Constraints in Networks. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23226-8_77

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23226-8_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23225-1

  • Online ISBN: 978-3-642-23226-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics