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Continuity of the optimal value function and optimal solutions of parametric mixed-integer quadratic programs

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Abstract

To properly describe and solve complex decision problems, research on theoretical properties and solution of mixed-integer quadratic programs is becoming very important. We establish in this paper different Lipschitz-type continuity results about the optimal value function and optimal solutions of mixed-integer parametric quadratic programs with parameters in the linear part of the objective function and in the right-hand sides of the linear constraints. The obtained results extend some existing results for continuous quadratic programs, and, more importantly, lay the foundation for further theoretical study and corresponding algorithm analysis on mixed-integer quadratic programs.

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References

  1. D Axehill. Applications of integer quadratic programming in control and communication, PhD thesis, Linkping University, 2005.

  2. B Bank, J Guddat, D Klatte, B Kummer, K Tammer. Non-linear Parametric Optimization, Akademie Verlag, 1982.

  3. B Bank, R Hansel. Stability of mixed-integer quadratic programming problems, Math Programming Study, 1984, 21: 1–17.

    MATH  MathSciNet  Google Scholar 

  4. A B Berkelaar, B Jansen, K Roos, T Terlaky. Sensitivity analysis in (degenerate) quadratic programming, Research Report, Department of Econometrics and Operations Research, Erasmus University, 1996.

  5. M J Best, N Chakravarti. Stability of linearly constrained convex quadratic programs, J Optim Theory Appl, 1990, 64(1): 43–53.

    Article  MATH  MathSciNet  Google Scholar 

  6. M J Best, B Ding. On the continuity of the minimum in parametric quadratic programs, J Optim Theory Appl, 1995, 86(1): 245–250.

    Article  MATH  MathSciNet  Google Scholar 

  7. D Bienstock. Computational study of a family of mixed-integer quadratic programming problems, Math Programming, 1996, 74: 121–140.

    MathSciNet  Google Scholar 

  8. X J Chen, R S Womersley. Random test problems and parallel methods for quadratic programs and quadratic stochastic programs, Optim Methods Softw, 2000, 13: 275–306.

    Article  MATH  MathSciNet  Google Scholar 

  9. B C Eaves. On quadratic programming, Manage Sci, 1971, 17(11): 698–711.

    Article  MATH  Google Scholar 

  10. S Elloumi, A Faye, E Soutif. Decomposition and linearization for 0–1 quadratic programming, Ann Oper Res, 2000, 99: 79–93.

    Article  MATH  MathSciNet  Google Scholar 

  11. F Granot, J Skorin-Kapov. Some proximity and sensitivity in quadratic integer programming, Math Programming, 1990, 47: 259–268.

    Article  MATH  MathSciNet  Google Scholar 

  12. A G Hadigheh, O Romanko, T Terlaky. Sensitivity analysis in convex quadratic optimization: Simultaneous perturbation of the objective and right-hand-side vectors, Research Report, AdvOl-Report No. 2003/6. Advanced Optimization Laboratory, McMaster University, 2003.

  13. ILOG. ILOG CPLEX 8.0 Reference Manual, ILOG CPLEX Division, 2002.

  14. D Klatte. On the Lipschitz behavior of optimal solutions in parametric problems of quadratic optimization and linear complementarity, Optimization, 1985, 16: 819–831.

    Article  MATH  MathSciNet  Google Scholar 

  15. G M Lee, N N Tam, N D Yen. On the optimal value function of a linearly perturbed quadratic program, J Global Optim, 2005, 32: 119–134.

    Article  MATH  MathSciNet  Google Scholar 

  16. G M Lee, N N Tam, N D Yen. Continuity of the solution map in quadratic programs under linear perturbations, J Optim Theory Appl, 2006, 129(3): 415–423.

    Article  MATH  MathSciNet  Google Scholar 

  17. H Markowitz. Portfolio selection, J Financ, 1952 7: 77–91.

    Article  Google Scholar 

  18. J Nocedal, S J Wright. Numerical Optimization, Springer Science Business Media, 1999.

  19. L S Papageorgiou, E S Fraga. A mixed-integer quadratic programming formulation for economic dispatch of generator with prohibited operating zones, Electr Pow Syst Res, 2007, 77(10): 1292–1296.

    Article  Google Scholar 

  20. N N Tam. Continuity of the optimal value function in indefinite quadratic programming, J Global Optim, 2002, 23: 43–61.

    Article  MATH  MathSciNet  Google Scholar 

  21. C X Xu, Z P Chen, N C Li. Modern Optimization Methods, Science Press, China, 2002. (In Chinese)

    Google Scholar 

  22. Y X Yuan. Computational Methods for Nonlinear Optimization, Science Press, China, 2008. (In Chinese)

    Google Scholar 

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Correspondence to Zhi-ping Chen.

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Supported by the National Natural Science Foundation of China (10571141,70971109) and the Key Project of the National Natural Science Foundation of China (70531030).

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Chen, Zp., Han, Yp. Continuity of the optimal value function and optimal solutions of parametric mixed-integer quadratic programs. Appl. Math. J. Chin. Univ. 25, 391–399 (2010). https://doi.org/10.1007/s11766-010-2202-4

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  • DOI: https://doi.org/10.1007/s11766-010-2202-4

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