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Continuity and stability of fully random two-stage stochastic programs with mixed-integer recourse

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Abstract

In order to derive continuity and stability of two-stage stochastic programs with mixed-integer recourse when all coefficients in the second-stage problem are random, we first investigate the quantitative continuity of the objective function of the corresponding continuous recourse problem with random recourse matrices. Then by extending derived results to the mixed-integer recourse case, the perturbation estimate and the piece-wise lower semi-continuity of the objective function are proved. Under the framework of weak convergence for probability measure, the epi-continuity and joint continuity of the objective function are established. All these results help us to prove a qualitative stability result. The obtained results extend current results to the mixed-integer recourse with random recourse matrices which have finitely many atoms.

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References

  1. Bank, B., Mandel, R.: Parametric Integer Optimization. Akademie-Verlag, Berlin (1988)

    MATH  Google Scholar 

  2. Billingsley, P.: Convergence of Probability Measures. Wiley, New York (1968)

    MATH  Google Scholar 

  3. Billingsley, P.: Probability and Measure, 2nd edn. Wiley, New York (1986)

    MATH  Google Scholar 

  4. Birge, J.R., Louveaux, F.: Introduction to Stochastic Programming. Springer, New York (1997)

    MATH  Google Scholar 

  5. Blair, C.E., Jeroslow, R.G.: The value function of a mixed integer program II. Discrete Math. 25, 7–19 (1979)

    Article  MATH  MathSciNet  Google Scholar 

  6. Chen, Z., Zhang, F.: Postoptimality of mean-risk stochastic mixed-integer programs and its application. Math. Methods Oper. Res. 74, 445–465 (2011)

    Article  MATH  MathSciNet  Google Scholar 

  7. Cook, W., Gerards, A.M.H., Schrijver, A., Tardos, É.: Sensitivity theorems in integer linear programming. Math. Program. 34, 251–264 (1986)

    Article  MATH  MathSciNet  Google Scholar 

  8. Engell, S., Märkert, A., Sand, G., Schultz, R.: Aggregated scheduling of a multiproduct batch plant by two-stage stochastic integer programming. Optim. Eng. 5, 335–359 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  9. Mulvey, J.M., Ziemba, W.: World Wide Asset and Liability Modeling. Cambridge University Press, Cambridge (1988)

  10. Nowak, M.P., Schultz, R., Westphalen, M.: A stochastic integer programming model for incorporating day-ahead trading of electricity into hydro-thermal unit commitment. Optim. Eng. 6, 163–176 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  11. Robinson, S.M.: Local epi-continuity and local optimization. Math. Program. 37, 513–528 (1987)

    Article  Google Scholar 

  12. Rockafellar, R.T., Wets, R.J.-B.: Variational Analysis. Springer, Berlin (1998)

    Book  MATH  Google Scholar 

  13. Römisch, W.: Stability of stochastic programming problems. In: Stochastic Programming, Handbooks Operations Research Management Science, vol. 10, pp. 483–554. Elsevier, Amsterdam (2003)

  14. Römisch, W., Wets, R.J.-B.: Stability of \(\varepsilon \)-approximate solutions to convex stochastic programs. SIAM J. Optim. 18, 961–979 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  15. Römisch, W., Vigerske, S.: Quantitative stability of fully random mixed-integer two stage stochastic programs. Optim. Lett. 6, 377–388 (2008)

    Article  Google Scholar 

  16. Schultz, R.: Continuity properties of expectation functions in stochastic integer programming. Math. Oper. Res. 18, 578–589 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  17. Schultz, R.: On structure and stability in stochastic programs with random technology matrix and complete integer recourse. Math. Program. 70, 73–89 (1995)

    MATH  Google Scholar 

  18. Schultz, R.: Rates of convergence in stochastic programs with complete integer recourse. SIAM J. Optim. 6, 1138–1152 (1996)

    Article  MATH  MathSciNet  Google Scholar 

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Acknowledgments

This research was supported by the national natural science foundation of China (grant numbers 70971109). The authors are grateful for the detailed and insightful comments from two referees, which led to a considerable improvement of the manuscript.

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Correspondence to Zhiping Chen.

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Chen, Z., Zhang, F. Continuity and stability of fully random two-stage stochastic programs with mixed-integer recourse. Optim Lett 8, 1647–1662 (2014). https://doi.org/10.1007/s11590-013-0684-8

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