Abstract
In this paper, a nonsmooth nonconvex robust optimization problem is considered. Using the idea of pseudo-differential, nonsmooth versions of the Robinson, Mangasarian–Fromovitz and Abadie constraint qualifications are introduced and their relations with the existence of a local error bound are investigated. Based on the pseudo-differential notion, new necessary optimality conditions are derived under the Abadie constraint qualification. Moreover, an example is provided to clarify the results.
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References
Beck, A., Ben-Tal, A.: Duality in robust optimization: primal worst equals dual best. Oper. Res. Lett. 37, 1–6 (2009)
Ben-Tal, A., Nemirovski, A.: Robust convex optimization. Math. Oper. Res. 23, 769–805 (1998)
Borwein, J.M., Zhu, Q.J.: Techniques of Variational Analysis. Springer, New York (2005)
Borwien, J.M., Lewis, A.S.: Convex Analysis and Nonlinear Optimization. Canadian Mathematical Society Books in Mathematics, Springer, New York (2000)
Carrizosa, E., Goerigk, M., Schöbel, A.: A biobjective approach to recoverable robustness based on location planning. Eur. J. Oper. Res. 261, 421–435 (2017)
Chassein, A., Goerigk, M.: On the recoverable robust traveling salesman problem. Optim. Lett. 10, 1479–1492 (2016)
Cheref, A., Artigues, C., Billaut, J.: A new robust approach for a production scheduling and delivery routing problem. IFAC-PapersOnLine 49, 886–891 (2016)
Chuong, T.: Optimality and duality for robust multiobjective optimization problems. Nonlinear Anal. 134, 127–143 (2016)
Chuong, T.D.: Robust optimality and duality in multiobjective optimization problems under data uncertainty. SIAM J. Optim. 30(2), 1501–1526 (2020)
Clarke, F.H.: Optimization and Nonsmooth Analysis. Wiley-Interscience, New York (1983)
Clarke, F.H., Ledyaev, Y.S., R.S., Wolenski, P.: Nonsmooth Analysis and Control Theory. Springer, New York (1998)
Demyanov, V.F., Rubinov, A.M.: Constructive Nonsmooth Analysis. Verlag Peter Leng, Frankfurt a. M., Germany (1995)
Dutta, J., Chandra, S.: Convexifcators, generalized convexity and vector optimzation. Optimization 53, 77–94 (2004)
Hejazi, M.A., Movahedian, N.: A new Abadie-type constraint qualification for general optimization problems. J. Optim. Theory Appl. 186, 86–101 (2020)
Hejazi, M.A., Movahedian, N., Nobakhtian, S.: On constraint qualifications and sensitivity analysis for general optimization problems via pseudo-Jacobians. J. Optim. Theory Appl. 179, 778–799 (2018)
Hejazi, M.A., Nobakhtian, S.: On Abadie constraint qualification for multiobjective optimization problems. Rend. Circ. Mat. Palermo II. Ser. 67, 453–464 (2018)
Jeyakumar, V., Lee, G.M., Li, G.: Characterizing robust solutions sets convex programs under data uncertainty. J. Optim. Theory Appl. 164, 407–435 (2015)
Jeyakumar, V., Li, G.: Strong duality in robust convex programming: complete characterizations. SIAM J. Optim. 20, 3384–3407 (2010)
Jeyakumar, V., Li, G., Lee, G.: Robust duality for generalized convex programming problems under data uncertainty. Nonlinear Anal. 75, 1362–1373 (2012)
Jeyakumar, V., Luc, D.T.: Nonsmooth Vector Functions and Continuous Optimization. Springer, New York (2007)
Lee, G.M., Son, P.T.: On nonsmooth optimality theorems for robust optimization problems. Bull. Korean Math. Soc. 51, 287–301 (2014)
Lee, J.H., Jiao, L.: On quasi \(\varepsilon -\)solution for robust convex optimization problems. Optim. Lett. 11, 1609–1622 (2017)
Mashkoorzadeh, F., Movahedian, N., Nobakhtian, S.: Robustness in nonsmooth nonconvex optimization problems. Positivity 25, 701–729 (2021)
Michel, P., Penot, J.P.: A generalized derivative for calm and stable functions. Differ. Integr. Equ. 5, 433–454 (1992)
Mordukhovich, B.S.: Variational Analysis and Generalized Differentiation I: Basic Theory. Springer, Berlin (2006)
Mordukhovich., B.S.: Variational Analysis and Generalized Differentiation II: Applications. Springer, Berlin (2006)
Rochafellar, R.T., Wets., R.J.B.: Variational Analysis. Springer, Berlin (1997)
Rockafellar, R.T.: Convex Analysis. Princeton University Press, Princeton, Newjersy (1970)
Sisarat, N., Wangkeeree, R., Lee, G.: Some characterizations of robust solution sets for uncertain convex optimization problems with locally Lipschitz inequality constraints. J. Ind. Manag. Optim. 16, 469–493 (2020)
Soyster, A.L.: Convex programming with set-inclusive constraints and applications to inexact linear programming. Oper. Res. 1154–1157 (1973)
Treiman, J.S.: The linear nonconvex generalized gradient and Lagrange multipliers. SIAM J. Optim. 5, 670–680 (1995)
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The first-named author was partially supported by a grant from IPM (NO. 1400490042).
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Hejazi, M.A., Movahedian, N. On constraint qualifications and optimality conditions for robust optimization problems through pseudo-differential. Optim Lett 18, 705–726 (2024). https://doi.org/10.1007/s11590-023-02078-6
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DOI: https://doi.org/10.1007/s11590-023-02078-6