Skip to main content

Perfect Constraints Are Tractable

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5202))

Abstract

By using recent results from graph theory, including the Strong Perfect Graph Theorem, we obtain a unifying framework for a number of tractable classes of constraint problems. These include problems with chordal microstructure; problems with chordal microstructure complement; problems with tree structure; and the “all-different” constraint. In each of these cases we show that the associated microstructure of the problem is a perfect graph, and hence they are all part of the same larger family of tractable problems.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   99.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   129.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chudnovsky, M., Cornuéjols, G., Liu, X., Seymour, P., Vušković, K.: Recognizing Berge graphs. Combinatorica 25(2), 143–186 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  2. Chudnovsky, M., Robertson, N., Seymour, P., Thomas, R.: The strong perfect graph theorem. Annals of Mathematics 164(1), 51–229 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  3. Cohen, D.A.: A new class of binary CSPs for which arc-consistency is a decision procedure. In: Rossi, F. (ed.) CP 2003. LNCS, vol. 2833, pp. 807–811. Springer, Heidelberg (2003)

    Google Scholar 

  4. Green, M.J., Cohen, D.A.: Domain permutation reduction for constraint satisfaction problems. Artificial Intelligence 172(8–9), 1094–1118 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  5. Grötschel, M., Lovász, L., Schrijver, A.: The ellipsoid method and its consequences in combinatorial optimization. Combinatorica 1(2), 169–197 (1981)

    Article  MATH  MathSciNet  Google Scholar 

  6. Hougardy, S.: Classes of perfect graphs. Discrete Math. 306, 2529–2571 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  7. Jégou, P.: Decomposition of domains based on the micro-structure of finite constraint-satisfaction problems. In: Proceedings AAAI 1993, pp. 731–736 (1993)

    Google Scholar 

  8. Peterson, D.: Gridline graphs: a review in two dimensions and an extension to higher dimensions. Discrete Applied Mathematics 126, 223–239 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  9. Régin, J.C.: A filtering algorithm for constraints of difference in CSPs. In: Proceedings AAAI 1994, pp. 362–367 (1994)

    Google Scholar 

  10. Rossi, F., van Beek, P., Walsh, T. (eds.): Handbook of Constraint Programming. Elsevier, Amsterdam (2006)

    MATH  Google Scholar 

  11. Yıldırım, E.A., Fan-Orzechowski, X.: On extracting maximum stable sets in perfect graphs using Lovász’s theta function. Comp. Optim. and Appl. 33, 229–247 (2006)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Peter J. Stuckey

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Salamon, A.Z., Jeavons, P.G. (2008). Perfect Constraints Are Tractable. In: Stuckey, P.J. (eds) Principles and Practice of Constraint Programming. CP 2008. Lecture Notes in Computer Science, vol 5202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85958-1_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-85958-1_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85957-4

  • Online ISBN: 978-3-540-85958-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics