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Optimality conditions for nonsmooth multiobjective bilevel optimization problems

  • S.I.: Game theory and optimization
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Abstract

This article is devoted to the study of a nonsmooth multiobjective bilevel optimization problem, which involves the vector-valued objective functions in both levels of the considered program. We first formulate a relaxation multiobjective formulation for the multiobjective bilevel problem and examine the relationships of solutions between them. We then establish Fritz John (FJ) and Karush–Kuhn–Tucker (KKT) necessary conditions for the nonsmooth multiobjective bilevel optimization problem via its relaxation. This is done by studying a related multiobjective optimization problem with operator constraints.

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References

  • Bard, J. F. (1998). Practical bilevel optimization. Algorithms and applications. In Nonconvex optimization and its applications (Vol. 30). Kluwer, Dordrecht.

  • Bao, T. Q., Gupta, P., & Mordukhovich, B. S. (2007). Necessary conditions in multiobjective optimization with equilibrium constraints. Journal of Optimization Theory and Applications, 135(2), 179–203.

    Article  Google Scholar 

  • Bellaassali, S., & Jourani, A. (2008). Lagrange multipliers for multiobjective programs with a general preference. Set-Valued Analysis, 16(2–3), 229–243.

    Article  Google Scholar 

  • Bonnel, H. (2006). Optimality conditions for the semivectorial bilevel optimization problem. Pacific Journal of Optimization, 2(3), 447–467.

    Google Scholar 

  • Bonnel, H., & Collonge, J. (2015). Optimization over the Pareto outcome set associated with a convex bi-objective optimization problem: Theoretical results, deterministic algorithm and application to the stochastic case. Journal of Global Optimization, 62(3), 481–505.

    Article  Google Scholar 

  • Bonnel, H., & Morgan, J. (2006). Semivectorial bilevel optimization problem: Penalty approach. Journal of Optimization Theory and Applications, 131(3), 365–382.

    Article  Google Scholar 

  • Calvete, H. I., Gale, C., Dempe, S., & Lohse, S. (2012). Bilevel problems over polyhedra with extreme point optimal solutions. Journal of Global Optimization, 53(3), 573–586.

    Article  Google Scholar 

  • Chuong, T. D., & Jeyakumar, V. (2017). Finding robust global optimal values of bilevel polynomial programs with uncertain linear constraints. Journal of Optimization Theory and Applications, 173(2), 683–703.

    Article  Google Scholar 

  • Colson, B., Marcotte, P., & Savard, G. (2007). An overview of bilevel optimization. Annals of Operations Research, 153, 235–256.

    Article  Google Scholar 

  • Dempe, S. (2002). Foundations of bilevel programming (Vol. 61). Dordrecht: Kluwer Academic Publishers.

    Google Scholar 

  • Dempe, S., & Dutta, J. (2012). Is bilevel programming a special case of a mathematical program with complementarity constraints? Mathematical Programming, 131(1–2, Ser. A), 37–48.

    Article  Google Scholar 

  • Dempe, S., & Franke, S. (2012). Bilevel optimization problems with vectorvalued objective functions in both levels. Optimization Online. http://www.optimization-online.org/DB-FILE/2012/05/3478.pdfd

  • Dempe, S., Gadhi, N., & Zemkoho, A. B. (2013). New optimality conditions for the semivectorial bilevel optimization problem. Journal of Optimization Theory and Applications, 157(1), 54–74.

    Article  Google Scholar 

  • Dempe, S., Mordukhovich, B. S., & Zemkoho, A. B. (2012). Sensitivity analysis for two-level value functions with applications to bilevel programming. SIAM Journal on Optimization, 22(4), 1309–1343.

    Article  Google Scholar 

  • Dempe, S., Mordukhovich, B. S., & Zemkoho, A. B. (2014). Necessary optimality conditions in pessimistic bilevel programming. Optimization, 63(4), 505–533.

    Article  Google Scholar 

  • Dempe, S., & Zemkoho, A. B. (2012). Bilevel road pricing: Theoretical analysis and optimality conditions. Annals of Operations Research, 196, 223–240.

    Article  Google Scholar 

  • Dempe, S., & Zemkoho, A. B. (2014). KKT reformulation and necessary conditions for optimality in nonsmooth bilevel optimization. SIAM Journal on Optimization, 24, 1639–1669.

    Article  Google Scholar 

  • Ehrgott, M. (2005). Multicriteria optimization. Berlin: Springer.

    Google Scholar 

  • Eichfelder, G. (2010). Multiobjective bilevel optimization. Mathematical Programming, 123, 419–449.

    Article  Google Scholar 

  • Gadhi, N., & Dempe, S. (2012). Necessary optimality conditions and a new approach to multiobjective bilevel optimization problems. Journal of Optimization Theory and Applications, 155(1), 100–114.

    Article  Google Scholar 

  • Henrion, R., & Outrata, J. (2008). On calculating the normal cone to a finite union of convex polyhedra. Optimization, 57(1), 57–78.

    Article  Google Scholar 

  • Jahn, J. (2004). Vector optimization. Theory, applications, and extensions. Berlin: Springer.

    Google Scholar 

  • Jeyakumar, V., Lasserre, J. B., Li, G., & Pham, T. S. (2016). Convergent semidefinite programming relaxations for global bilevel polynomial optimization problems. SIAM Journal on Optimization, 26, 753–780.

    Article  Google Scholar 

  • Jeyakumar, V., & Li, G. (2015). A bilevel Farkas lemma to characterizing global solutions of a class of bilevel polynomial programs. Operations Research Letters, 43, 405–410.

    Article  Google Scholar 

  • Levy, A. B., Poliquin, R. A., & Rockafellar, R. T. (2000). Stability of locally optimal solutions. SIAM Journal on Optimization, 10, 580–604.

    Article  Google Scholar 

  • Luc, D. T. (1989). Theory of vector optimization. Berlin: Springer.

    Book  Google Scholar 

  • Li, X. F., & Zhang, J. Z. (2010). Existence and boundedness of the Kuhn–Tucker multipliers in nonsmooth multiobjective optimization. Journal of Optimization Theory and Applications, 145(2), 373–386.

    Article  Google Scholar 

  • Mordukhovich, B. S. (1992). On variational analysis of differential inclusions. In A. Ioffe, L. Marcus, & S. Reich (Eds.), Optimization and nonlinear analysis. Pitman research notes mathematical series (Vol. 244, pp. 199–213). Harlow: Longman.

    Google Scholar 

  • Mordukhovich, B. S. (2006a). Variational analysis and generalized differentiation. I: Basic theory. Berlin: Springer.

    Book  Google Scholar 

  • Mordukhovich, B. S. (2006b). Variational analysis and generalized differentiation. II: Applications. Berlin: Springer.

    Book  Google Scholar 

  • Mordukhovich, B. S. (2009). Multiobjective optimization problems with equilibrium constraints. Mathematical Programming, 117(1–2, Ser. B), 331–354.

    Article  Google Scholar 

  • Mordukhovich, B. S., Nam, N. M., & Nhi, N. T. Y. (2014). Partial second-order subdifferentials in variational analysis and optimization. Numerical Functional Analysis and Optimization, 35(7–9), 1113–1151.

    Article  Google Scholar 

  • Mordukhovich, B. S., & Rockafellar, R. T. (2012). Second-order subdifferential calculus with applications to tilt stability in optimization. SIAM Journal on Optimization, 22, 953–986.

    Article  Google Scholar 

  • Outrata, J. V. (1999). Optimality conditions for a class of mathematical programs with equilibrium constraints. Mathematics of Operations Research, 24(3), 627–644.

    Article  Google Scholar 

  • Rockafellar, R. T. (1970). Convex analysis. Princeton, NJ: Princeton University Press.

    Book  Google Scholar 

  • Rockafellar, R. T., & Wets, J. B. (1998). Variational analysis. Berlin: Springer.

    Book  Google Scholar 

  • Scheel, H., & Scholtes, S. (2000). Mathematical programs with complementarity constraints: Stationarity, optimality, and sensitivity. Mathematics of Operations Research, 25(1), 1–22.

    Article  Google Scholar 

  • Ye, J. J. (2000). Constraint qualifications and necessary optimality conditions for optimization problems with variational inequality constraints. SIAM Journal on Optimization, 10(4), 943–962.

    Article  Google Scholar 

  • Ye, J. J. (2005). Necessary and sufficient optimality conditions for mathematical programs with equilibrium constraints. Journal of Mathematical Analysis and Applications, 307(1), 350–369.

    Article  Google Scholar 

  • Ye, J. J. (2011). Necessary optimality conditions for multiobjective bilevel programs. Mathematics of Operations Research, 36(1), 165–184.

    Article  Google Scholar 

  • Ye, J. J., Zhu, D. L., & Zhu, Q. J. (1997). Exact penalization and necessary optimality conditions for generalized bilevel programming problems. SIAM Journal on Optimization, 7(2), 481–507.

    Article  Google Scholar 

  • Ye, J. J., & Zhu, Q. J. (2003). Multiobjective optimization problem with variational inequality constraints. Mathematical Programming, 96(1, Ser. A), 139–160.

    Article  Google Scholar 

  • Zemkoho, A. B. (2016). Solving ill-posed bilevel programs. Set-Valued and Variational Analysis, 24(3), 423–448.

    Article  Google Scholar 

Download references

Acknowledgements

The main results of this paper were presented at the ICCOPT 2016 (Tokyo, Japan). The author would like to thank Prof. Stephan Dempe and Dr. Patrick Mehlitz for valuable comments. The author is indebted to the three referees for helpful remarks and suggestions, which greatly improved the presentation of the paper.

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Correspondence to Thai Doan Chuong.

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This work was supported by the UNSW Vice-Chancellor’s Postdoctoral Research Fellowship (RG134608/SIR50).

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Chuong, T.D. Optimality conditions for nonsmooth multiobjective bilevel optimization problems. Ann Oper Res 287, 617–642 (2020). https://doi.org/10.1007/s10479-017-2734-6

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