Abstract
In this paper, we investigate optimality conditions and duality for \(\varepsilon \)-quasi efficient solutions of the fractional infinite multiobjective optimization problems with locally Lipschitz data. The obtained results improve or include some recent known ones. Several illustrative examples are also provided.
Similar content being viewed by others
References
Bae, K.D., Shitkovskaya, T., Kim, D.S.: A note on minimax optimization problems with an infinite number of constraints. J. Appl. Numer. Optim. 3, 521–531 (2021)
Chuong, T.D., Huy, N.Q., Yao, J.-C.: Subdifferentials of marginal functions in semi-infinite programming. SIAM J. Optim. 20, 1462–1477 (2009)
Chuong, T.D., Kim, D.S.: Nonsmooth semi-infinite multiobjective optimization problems. J. Optim. Theory Appl. 160, 748–762 (2014)
Chuong, T.D., Yao, J.-C.: Isolated and proper efficiencies in semi-infinite vector optimization problems. J. Optim. Theory Appl. 162, 447–462 (2014)
Chuong, T.D., Kim, D.S.: Approximate solutions of multiobjective optimization problems. Positivity 20, 187–207 (2016)
Chuong, T.D.: Nondifferentiable fractional semi-infinite multiobjective optimization problems. Oper. Res. Lett. 44, 260–266 (2016)
Chuong, T.D., Kim, D.S.: A class of nonsmooth fractional multiobjective optimization problems. Ann. Oper. Res. 244, 367–383 (2016)
Chuong, T.D., Kim, D.S.: Normal regularity for the feasible set of semi-infinite multiobjective optimization problems with applications. Ann. Oper. Res. 267, 81–99 (2018)
Correa, R., López, M.A., Pérez-Aros, P.: Necessary and sufficient optimality conditions in DC semi-infinite programming. SIAM J. Optim. 31, 837–865 (2021)
Dinh, N., Goberna, M.A., López, M.A., Son, T.Q.: New Farkas-type constraint qualifications in convex infinite programming. ESAIM Control Optim. Calc. Var. 13, 580–597 (2007)
Dinh, N., Mordukhovich, B.S., Nghia, T.T.A.: Qualification and optimality conditions for DC programs with infinite constraints. Acta Math. Vietnam 34, 123–153 (2009)
Fakhara, M., Mahyarinia, M.R., Zafarani, J.: On approximate solutions for nonsmooth robust multiobjective optimization problems. Optimization 68, 1653–1683 (2019)
Hantoute, A., López, M.A.: A complete characterization of the subdifferential set of the supremum of an arbitrary family of convex functions. J. Convex Anal. 15, 831–858 (2008)
Hantoute, A., López, M.A., Zălinescu, C.: Subdifferential calculus rules in convex analysis: a unifying approach via pointwise supremum functions. SIAM J. Optim. 19, 863–882 (2008)
Jiao, L.G., Dinh, B.V., Kim, D.S., Yoon, M.: Mixed type duality for a class of multiple objective optimization problems with an infinite number of constraints. J. Nonlinear Convex Anal. 21, 49–61 (2020)
Jiao, L.G., Kim, D.S., Zhou, Y.Y.: Quasi \(\varepsilon \)-solution in a semi-infinite programming problem with locally Lipschitz data. Optim. Lett. 15, 1759–1772 (2021)
Kanzi, N.: Constraint qualifications in semi-infinite systems and their applications in nonsmooth semi-infinite problems with mixed constraints. SIAM J. Optim. 24, 559–572 (2014)
Kanzi, N., Nobakhtian, S.: Optimality conditions for nonsmooth semi-infinite multiobjective programming. Optim. Lett. 8, 1517–1528 (2014)
Kanzi, N.: On strong KKT optimality conditions for multiobjective semi-infinite programming problems with Lipschitzian data. Optim. Lett. 9, 1121–1129 (2015)
Khanh, P.Q., Tung, N.M.: On the Mangasarian–Fromovitz constraint qualification and Karush–Kuhn–Tucker conditions in nonsmooth semi-infinite multiobjective programming. Optim. Lett. 14, 2055–2072 (2020)
Khantree, C., Wangkeeree, R.: On quasi approximate solutions for nonsmooth robust semiinfinite optimization problems. Carpathian J. Math. 35, 417–426 (2019)
Kim, D.S., Son, T.Q.: An approach to \(\varepsilon \)-duality theorems for nonconvex semi-infinite multiobjective optimization problems. Taiwan. J. Math. 22, 1261–1287 (2018)
Li, C., Ng, K.F., Pong, T.K.: Constraint qualifications for convex inequality systems with applications in constrained optimization. SIAM J. Optim. 19, 163–187 (2008)
Long, X.J., Xiao, Y.B., Huang, N.J.: Optimality conditions of approximate solutions for nonsmooth semi-infinite programming problems. J. Oper. Res. Soc. China 6, 289–299 (2018)
Long, X.J., Liu, J., Huang, N.J.: Characterizing the solution set for nonconvex semi-infinite programs involving tangential subdifferentials. Numer. Funct. Anal. Optim. 42, 279–297 (2021)
Loridan, P.: Necessary conditions for \(\varepsilon \)-optimality. Optimality and stability in mathematical programming. Math. Program. Study 19, 140–152 (1982)
Loridan, P.: \(\varepsilon \)-Solutions in vector minimization problems. J. Optim. Theory Appl. 43, 265–276 (1984)
Mordukhovich, B.S.: Variational Analysis and Generalized Differentiation. I: Basic Theory. Springer, Berlin (2006)
Mordukhovich, B.S., Nghia, T.T.A.: Subdifferentials of nonconvex supremum functions and their applications to semi-infinite and infinite programs with Lipschitzian data. SIAM J. Optim. 23, 406–431 (2013)
Mordukhovich, B.S., Nghia, T.T.A.: Nonsmooth cone-constrained optimization with applications to semi-infinite programming. Math. Oper. Res. 39, 301–324 (2014)
Mordukhovich, B.S.: Variational Analysis and Applications. Springer Monographs in Mathematics. Springer, Cham (2018)
Mordukhovich, B.S., Pérez-Aros, P.: New extremal principles with applications to stochastic and semi-infinite programming. Math. Program. 189, 527–553 (2021)
Pham, T.H.: On optimality conditions and duality theorems for approximate solutions of nonsmooth infinite optimization problems. Positivity 27, 1–31 (2023)
Pérez-Aros, P.: Formulae for the conjugate and the subdifferential of the supremum function. J. Optim. Theory Appl. 180, 397–427 (2019)
Pérez-Aros, P.: Subdifferential formulae for the supremum of an arbitrary family of functions. SIAM J. Optim. 29, 1714–1743 (2019)
Shitkovskaya, T., Hong, Z., Kim, D.S., Piao, G.R.: Approximate necessary optimality in fractional semi-infinite multiobjective optimization. J. Nonlinear Convex Anal. 21, 195–204 (2020)
Shitkovskaya, T., Jiao, L., Kim, D.S.: Multi-criteria optimization problems with fractional objectives: approximate optimality and approximate duality. J. Nonlinear Convex Anal. 22, 1117–1131 (2021)
Son, T.Q., Strodiot, J.J., Nguyen, V.H.: \(\varepsilon \)-Optimality and \(\varepsilon \)-Lagrangian duality for a nonconvex programming problem with an infinite number of constraints. J. Optim. Theory Appl. 141, 389–409 (2009)
Son, T.Q., Kim, D.S.: \(\varepsilon \)-Mixed duality for nonconvex multiobjective programs with an infinite number of constraints. J. Glob. Optim. 57, 447–465 (2013)
Son, T.Q., Tuyen, N.V., Wen, C.F.: Optimality conditions for approximate Pareto solutions of a nonsmooth vector optimization problem with an infinite number of constraints. Acta Math. Vietnam 45, 435–448 (2020)
Sun, X.K., Teo, K.L., Zheng, J., Liu, L.: Robust approximate optimal solutions for nonlinear semi-infinite programming with uncertainty. Optimization 69, 2109–2020 (2020)
Tung, L.T.: Strong Karush–Kuhn–Tucker optimality conditions for multiobjective semi-infinite programming via tangential subdifferential. RAIRO Oper. Res. 52, 1019–1041 (2018)
Tung, L.T.: Karush–Kuhn–Tucker optimality conditions and duality for multiobjective semi-infinite programming via tangential subdifferentials. Numer. Funct. Anal. Optim. 41, 659–684 (2020)
Tung, L.T.: Strong Karush–Kuhn–Tucker optimality conditions for Borwein properly efficient solutions of multiobjective semi-infinite programming. Bull. Braz. Math. Soc. 52, 1–22 (2021)
Acknowledgements
The author would like to thank the Editors and Professor Boris Mordukhovich for the help in the processing of the article. The author is very grateful to the Anonymous Referee for the very valuable remarks, which helped to improve the article.
Funding
This article is not funded by a research project.
Author information
Authors and Affiliations
Contributions
T-HP: Conceptualization, Methodology, Writing—original draft, Data curation, Writing—review and editing, Supervision.
Corresponding author
Ethics declarations
Conflict of interest
The author has no conflict of interest to declare that are relevant to the content of this article.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Pham, TH. On \(\varepsilon \)-quasi efficient solutions for fractional infinite multiobjective optimization problems with locally Lipschitz data. Positivity 28, 28 (2024). https://doi.org/10.1007/s11117-024-01046-3
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11117-024-01046-3
Keywords
- Approximate optimality condition
- Approximate duality theorem
- Infinite optimization
- Constraint qualification
- Generalized convexity
- Mordukhovich/limiting subdifferential