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A New Approach to the Stable Set Problem Based on Ellipsoids

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Integer Programming and Combinatoral Optimization (IPCO 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6655))

Abstract

A new exact approach to the stable set problem is presented, which attempts to avoids the pitfalls of existing approaches based on linear and semidefinite programming. The method begins by constructing an ellipsoid that contains the stable set polytope and has the property that the upper bound obtained by optimising over it is equal to the Lovász theta number. This ellipsoid is then used to derive cutting planes, which can be used within a linear programming-based branch-and-cut algorithm. Preliminary computational results indicate that the cutting planes are strong and easy to generate.

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References

  1. Alpen-Adria-Universität Klagenfurt website, http://www.math.uni-klu.ac.at/or/Software

  2. Andersen, K., Pochet, Y.: Coefficient strengthening: a tool for reformulating mixed-integer programs. Math. Program. 122, 121–154 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  3. Balas, E., Ceria, S., Cornuéjols, G., Pataki, G.: Polyhedral methods for the maximum clique problem. In: Johnson, D.S., Trick, M.A. (eds.) Cliques, Coloring and Satisfiability, DIMACS Series in Discrete Mathematics and Theoretical Computer Science, vol. 26, pp. 11–28 (1996)

    Google Scholar 

  4. R.: Borndörfer, Aspects of Set Packing, Partitioning and Covering. Doctoral Thesis, Technical University of Berlin (1998)

    Google Scholar 

  5. DIMACS Repository, ftp://dimacs.rutgers.edu/pub/challenge/graph/benchmarks/clique

  6. Dukanovic, I., Rendl, F.: Semidefinite programming relaxations for graph coloring and maximal clique problems. Math. Program 109, 345–365 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  7. Fahle, T.: Simple and Fast: Improving a Branch-And-Bound Algorithm for Maximum Clique. In: Möhring, R.H., Raman, R. (eds.) ESA 2002. LNCS, vol. 2461, pp. 47–86. Springer, Heidelberg (2002)

    Google Scholar 

  8. Fujie, T., Kojima, M.: Semidefinite programming relaxation for nonconvex quadratic programs. J. Glob. Opt. 10, 367–380 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  9. Fujie, T., Tamura, A.: On Grötschel-Lovász-Schrijver’s relaxation of stable set polytopes. J. Oper. Res. Soc. Japan 45, 285–292 (2002)

    MATH  Google Scholar 

  10. Giandomenico, M., Letchford, A.N.: Exploring the relationship between max-cut and stable set relaxations. Math. Program 106, 159–175 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  11. Grötschel, M., Lovász, L., Schrijver, A.J.: Geometric Algorithms in Combinatorial Optimization. Wiley, New York (1988)

    Book  MATH  Google Scholar 

  12. Gruber, G., Rendl, F.: Computational experience with stable set relaxations. SIAM J. Opt. 13, 1014–1028 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  13. Johnson, D.S., Trick, M.A. (eds.): Cliques, Coloring and Satisfiability: the 2nd DIMACS Implementation Challenge. American Mathematical Society, Providence

    Google Scholar 

  14. Håstad, J.: Clique is hard to approximate within n 1 − ε. Acta Math. 182, 105–142 (1999)

    Article  MathSciNet  Google Scholar 

  15. Karp, R.M.: Reducibility among combinatorial problems. In: Miller, R.E., Thatcher, J.W. (eds.) Complexity of Computer Computations, pp. 85–103. Plenum, New York (1972)

    Chapter  Google Scholar 

  16. Lemaréchal, C., Oustry, F.: SDP relaxations in combinatorial optimization from a Lagrangian viewpoint. In: Hadjisawas, N., Pardalos, P.M. (eds.) Advances in Convex Analysis and Global Optimization. Kluwer, Dortrecht (2001)

    Google Scholar 

  17. Lovász, L.: On the Shannon capacity of a graph. IEEE Trans. Inform. Th. IT-25, 1–7 (1979)

    Article  MathSciNet  MATH  Google Scholar 

  18. Lovász, L., Schrijver, A.J.: Cones of matrices and set-functions and 0-1 optimization. SIAM J. Optimization 1, 166–190 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  19. Malick, J., Povh, J., Rendl, F., Wiegele, A. (2007) Boundary Point Method for solving SDPs: mprw.m, Inst. f. Mathematik, Alpen-Adria-Universität Klagenfurt (2007)

    Google Scholar 

  20. Nemhauser, G.L., Wolsey, L.A.: Integer and Combinatorial Optimization. Wiley, New York (1988)

    Book  MATH  Google Scholar 

  21. Padberg, M.W.: On the facial structure of set packing polyhedra. Math. Program. 5, 199–215 (1973)

    Article  MathSciNet  MATH  Google Scholar 

  22. Poljak, S., Rendl, F., Wolkowicz, H.: A recipe for semidefinite relaxation for (0,1)-quadratic programming. J. Global Opt. 7, 51–73 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  23. Rebennack, S., Oswald, M., Theis, D.O., Seitz, H., Reinelt, G., Pardalos, P.M.: A branch and cut solver for the maximum stable set problem. J. Comb. Opt. (2010) (to appear)

    Google Scholar 

  24. Régin, J.-C.: Solving the maximum clique problem with constraint programming. In: Proceedings of CPAIOR 2003. LNCS, vol. 2883, pp. 634–648. Springer, Heidelberg (2003)

    Google Scholar 

  25. Rossi, F., Smriglio, S.: A branch-and-cut algorithm for the maximum cardinality stable set problem. Oper. Res. Lett. 28, 63–74 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  26. Schrijver, A.J.: A comparison of the Delsarte and Lovász bounds. IEEE Trans. Inf. Th. IT-25, 425–429 (1979)

    Article  MATH  Google Scholar 

  27. Tunçel, L.: On the Slater condition for SDP relaxations of nonconvex sets. Oper. Res. Lett. 29, 181–186 (2001)

    Article  MathSciNet  MATH  Google Scholar 

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Giandomenico, M., Letchford, A.N., Rossi, F., Smriglio, S. (2011). A New Approach to the Stable Set Problem Based on Ellipsoids. In: Günlük, O., Woeginger, G.J. (eds) Integer Programming and Combinatoral Optimization. IPCO 2011. Lecture Notes in Computer Science, vol 6655. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20807-2_18

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  • DOI: https://doi.org/10.1007/978-3-642-20807-2_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20806-5

  • Online ISBN: 978-3-642-20807-2

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