[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Log in

The capacitated max k-cut problem

  • FULL LENGTH PAPER
  • Published:
Mathematical Programming Submit manuscript

An Erratum to this article was published on 18 September 2010

Abstract

We consider a capacitated max k-cut problem in which a set of vertices is partitioned into k subsets. Each edge has a non-negative weight, and each subset has a possibly different capacity that imposes an upper bound on its size. The objective is to find a partition that maximizes the sum of edge weights across all pairs of vertices that lie in different subsets. We describe a local-search algorithm that obtains a solution with value no smaller than 1 − 1/k of the optimal solution value. This improves a previous bound of 1/2 for the max k-cut problem with fixed, though possibly different, sizes of subsets.

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

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Ageev, A.A., Sviridenko, M.I.: An approximation algorithm for hypergraph max k-cut with given sizes of parts. Lecture Notes in Computer Science (Proceedings of ESA ’00), vol. 1879, pp. 32–41 (2000)

  2. Ageev A., Hassin R. and Sviridenko M. (2001). A 0.5-approximation algorithm for max dicut with given sizes of parts. SIAM J. Discret. Math. 14(2): 246–255

    Article  MATH  MathSciNet  Google Scholar 

  3. Andersson, G.: An approximation algorithm for max p-section. Lecture Notes in Computer Science (Proceedings of STACS’99), vol. 1563, pp. 237–247 (1999)

  4. Aslidis A. (1990). Minimizing of overstowage in container ship operations. Oper. Res. 90: 457–471

    Google Scholar 

  5. Avriel M. and Penn M. (1993). Exact and approximate solutions of the container ship stowage problem. Comput. Ind. Eng. 25: 271–274

    Article  Google Scholar 

  6. Avriel M., Penn M., Shpirer N. and Witteboon S. (1997). Stowage planning for container ships to reduce the number of shifts. Ann. Oper. Res. 76: 55–71

    Article  Google Scholar 

  7. Bollapragada S. and Garbiras M. (2004). Scheduling commercials on broadcast television. Oper. Res. 52(3): 337–345

    Article  Google Scholar 

  8. de Klerk E., Pasechnik D.V. and Warners J.P. (2004). On approximate graph colouring and MAX k-CUT algorithms based on the θ-function. J. Comb. Optim. 8(3): 267–294

    Article  MATH  MathSciNet  Google Scholar 

  9. Feige U. and Langberg M. (2001). Approximation algorithms for maximization problems arising in graph partitioning. J. Algorithms 41: 174–211

    Article  MATH  MathSciNet  Google Scholar 

  10. Frieze A. and Jerrum M. (1997). Improved approximation algorithms for max k-cut and max bisection. Algorithmica 18(1): 67–81

    Article  MATH  MathSciNet  Google Scholar 

  11. Gaur, D., Krishnamurti, R.: The capacitated max k-cut problem. In: Proceedings of the International Conference on Computational Science and its Applications (2005), LNCS 3483, pp. 670–679

  12. Goemans M.X. and Williamson D.P. (1995). Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming. J. Assoc. Comput. Mach. 42: 1115–1145

    MATH  MathSciNet  Google Scholar 

  13. Goemans M.X. and Williamson D.P. (2004). Approximation algorithms for MAX 3-CUT and other problems via complex semidefinite programming. J. Comput. Syst. Sci. 68(2): 442–470

    Article  MATH  MathSciNet  Google Scholar 

  14. Johnson D.S., Papadimitriou C.H. and Yannakakis M. (1988). How easy is local search?. J. Comput. Syst. Sci. 37: 79–100

    Article  MATH  MathSciNet  Google Scholar 

  15. Karloff, H.J.: Fast parallel algorithms for graph-theoretic problems: matching, coloring and partitioning. Ph.D. Thesis, UC Berkeley (1985)

  16. Kann V., Khanna S., Lagergren J. and Panconesi A. (1997). On the hardness of approximating max k-cut and its dual. Chicago J. Theor. Comput. Sci. 2: 1–18

    MathSciNet  Google Scholar 

  17. Orlin J.B., Punnen A.P. and Schulz A.S. (2004). Approximate local search in combinatorial optimization. SIAM J. Comput. 33(5): 1201–1214

    Article  MATH  MathSciNet  Google Scholar 

  18. Papadimitriou C.H. and Steiglitz K. (1982). Combinatorial optimization: algorithms and complexity. Prentice-Hall, Englewood Cliffs

    MATH  Google Scholar 

  19. Ye Y. (2001). A .699-approximation algorithm for max-bisection. Math. Program. (A) 90: 101–111

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rajeev Kohli.

Additional information

We thank an anonymous referee for extensive and constructive comments. The first and second authors are grateful for the support provided by the Natural Sciences and Engineering Research Council of Canada.

An erratum to this article is available at http://dx.doi.org/10.1007/s10107-010-0404-4.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gaur, D.R., Krishnamurti, R. & Kohli, R. The capacitated max k-cut problem. Math. Program. 115, 65–72 (2008). https://doi.org/10.1007/s10107-007-0139-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10107-007-0139-z

Keywords

Navigation