Abstract
This paper investigates nonsmooth multiobjective fractional programming (NMFP) with inequalities and equalities constraints in real reflexive Banach spaces. It derives a quotient calculus rule for computing the first- and second-order Clarke derivatives of fractional functions involving locally Lipschitz functions. A novel second-order Abadie-type regularity condition is presented, defined with the help of the Clarke directional derivative and the Páles–Zeidan second-order directional derivative. We establish both first- and second-order strong necessary optimality conditions, which contain some new information on multipliers and imply the strong KKT necessary conditions, for a Borwein-type properly efficient solution of NMFP by utilizing generalized directional derivatives. Moreover, it derives second-order sufficient optimality conditions for NMFP under a second-order generalized convexity assumption. Additionally, we derive duality results between NMFP and its second-order dual problem under some appropriate conditions
Similar content being viewed by others
Data availability
No datasets were generated or analysed during the current study.
References
Bector, C.R.: Non-linear fractional functional programming with non-linear constraints. Z. Angew. Math. Mech. 48, 284–286 (1968)
Borwein, J.M.: Fractional programming without differentiability. Math. Program. 11, 283–290 (1976)
Schaible, S.: Fractional programming. Z. Oper. Res. Ser. A-B. 1, 39–54 (1983)
Luc, D.T.: Theory of vector optimization. Lecture Notes in Economics and Mathematical Systems. Springer, Berlin (1989)
Jahn, J.: Vector Optimization Theory. Applications and Extensions, Springer, Berlin (2004)
Mishra, S.K., Rautela, J.S.: On nonlinear multiple objective fractional programming involving semilocally type-I univex functions. Optim. Lett. 3, 171–185 (2009)
Mishra, S.K., Giorgi, G., Wang, S.Y.: Duality in vector optimization in Banach spaces with generalized convexity. J. Global Optim. 29, 415–424 (2004)
Mishra, S.K., Mukherjee, R.N.: Generalized convex composite multi-objective nonsmooth programming and conditional proper efficiency. Optim. 34, 53–66 (1995)
Mishra, S.K., Lai, K.K.: Second order symmetric duality in multiobjective programming involving generalized cone-invex functions. European J. Oper. Res. 178, 20–26 (2007)
Mishra, S.K., Lai, K.K.: V-invex functions and vector optimization. Springer, Cham (2007)
Shen, K.M., Yu, W.: Fractional programming for communication systems-Part I: power control and beamforming. IEEE Trans. Signal Process. 66(10), 2616–2630 (2018)
Chen, J., Dai, Y.H.: Multiobjective optimization with least constraint violation: optimality conditions and exact penalization. J. Global Optim. 87, 807–830 (2023)
Ansari, Q.H., Köbis, E., Yao, J.C.: Vector Variational Inequalities and Vector Optimization: Theory and Applications. Springer, Cham (2018)
Antczak, T., Pandey, Y., Singh, V., Mishra, S.K.: On approximate efficiency for nonsmooth robust vector optimization problems. Acta Math. Sci. 40, 887–902 (2020)
Bector, C.R., Chandra, S., Husain, I.: Optimality conditions and duality in subdifferentiable multiobjective fractional programming. J. Optim. Theory Appl. 79, 105–125 (1993)
Liu, J.C.: Optimality and duality for multiobjective fractional programming involving nonsmooth \((F,\rho )\)-convex functions. Optim. 36, 333–346 (1996)
Kim, D.S., Kim, S.J., Kim, M.H.: Optimality and duality for a class of nondifferentiable multiobjective fractional programming problems. J. Optim. Theory Appl. 129, 131–146 (2006)
Jayswal, A., Izhar, A., Kummari, K.: Optimality conditions and duality in multiobjective fractional programming involving right upper-Dini-derivative functions. Miskolc Math. Notes. 16, 887–906 (2015)
Das, K.: Sufficiency and duality of set-valued fractional programming problems via second-order contingent epiderivative. Yugosl. J. Oper. Res. 32, 167–188 (2022)
Khanh, P.Q., Tung, L.T.: First- and second-order optimality conditions for multiobjective fractional programming. TOP 23, 419–440 (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)
Su, T.V., Hang, D.D.: Optimality and duality in nonsmooth multiobjective fractional programming problem with constraints. 4OR 20, 105–137 (2022)
Su, T.V., Hang, D.D.: Second-order optimality conditions in locally Lipschitz multiobjective fractional programming problem with inequality constraints. Optim. 72, 1171–1198 (2023)
Liang, Z.A., Huang, H.X., Pardalos, P.M.: Optimality conditions and duality for a class of nonlinear fractional programming problems. J. Optim. Theory Appl. 110, 611–619 (2001)
Liang, Z.A., Huang, H.X., Pardalos, P.M.: Efficiency conditions and duality for a class of multiobjective fractional programming problems. J. Global Optim. 27, 447–471 (2003)
Yuan, D.H., Liu, X.L., Chinchuluun, A., Pardalos, P.M.: Nondifferentiable minimax fractional programming problems with (\(C, \alpha, \rho, d\))-convexity. J. Optim. Theory Appl. 129, 185–199 (2006)
Chinchuluun, A., Yuan, D.H., Pardalos, P.M.: Optimality conditions and duality for nondifferentiable multiobjective fractional programming with generalized convexity. Ann. Oper. Res. 154, 133–147 (2007)
Pokharna, N., Tripathi, I.P.: Optimality and duality for E-minimax fractional programming: application to multiobjective optimization. J. Appl. Math. Comput. 69, 2361–2388 (2023)
Feng, M., Li, S.J.: Second-order strong Karush/Kuhn-Tucker conditions for proper efficiencies in multiobjective optimization. J. Optim. Theory Appl. 181, 766–786 (2019)
Clarke, F.H.: Optimization and Nonsmooth Analysis. Wiley, New York (1983)
Ivanov, V.I.: Second-order optimality conditions for vector problems with continuously Fréchet differentiable data and second-order constraint qualifications. J. Optim. Theory Appl. 166, 777–790 (2015)
Páles, Z., Zeidan, V.M.: Nonsmooth optimum problems with constraints. SIAM J. Control. Optim. 32, 1476–1502 (1994)
Ivanov, V.I.: Second-order optimality conditions for inequality constrained problems with locally Lipschitz data. Optim. Lett. 4, 597–608 (2010)
Lebourg, G.: Valeur moyenne pour gradient généralisé. C. R. Acad. Sci. Paris Sér. A-B. 281, Ai, A795–A797 (1975)
Rockafellar, R.T., Wets, R.J.-B.: Variational Analysis. Springer-Verlag, Berlin (1998)
Aanchal, L.C.S.: Second-order optimality conditions for locally Lipschitz vector optimization problems. Optim. 73, 1–20 (2023)
Ehrgott, M.: Multicriteria Optimization, 2nd edn. Springer-Verlag, Berlin (2005)
Borwein, J.: Proper efficient points for maximizations with respect to cones. SIAM J. Control. Optim. 15, 57–63 (1977)
Sawaragi, Y., Nakayama, H., Tanino, T.: Theory of Multiobjective Optimization. Academic Press Inc, Orlando, FL (1985)
Penot, J.P.: Second-order conditions for optimization problems with constraints. SIAM J. Control. Optim. 37, 303–318 (1999)
Jiménez, B., Novo, V.: Optimality conditions in differentiable vector optimization via second-order tangent sets. Appl. Math. Optim. 49, 123–144 (2004)
Feng, M., Li, S.J.: On second-order optimality conditions for continuously Fréchet differentiable vector optimization problems. Optim. 67, 2117–2137 (2018)
Luu, D.V.: Second-order optimality conditions and duality for nonsmooth multiobjective optimization problems. Appl. Set-Valued Anal. Optim. 4, 41–54 (2022)
Acknowledgements
The authors would like to express their sincere thanks to the associated editor and anonymous referees for valuable comments and providing nice references [6,7,8,9,10]. This paper was supported by the Natural Science Foundation of China (Nos. 12071379, 12271061), the Natural Science Foundation of Chongqing(cstc2021jcyj-msxmX0925, cstc2022ycjh-bgzxm0097), Youth Project of Science and Technology Research Program of Chongqing Education Commission of China (No. KJQN202201802) and the Southwest University Graduate Research Innovation Program (No. SWUS23058). D. Ghosh is thankful for the research funding CRG (CRG/2022/001347) and MATRICS (MTR/2021 /000696), SERB, India. J.-C. Yao acknowledges MOST (No. 111-2115-M-039-001-MY2), Taiwan.
Author information
Authors and Affiliations
Contributions
Jiawei Chen and Luyu Liu wrote the main manuscript text, Yibing Lv and Debdas Ghosh revised the manuscript text and Jen-Chih Yao gave the idea of the manscript and suggestions. All authors reviewed the manuscript.
Corresponding author
Ethics declarations
Conflict of interest
No potential Conflict of interest was reported by the authors.
Ethical approval
It is not applicable.
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
Chen, J., Liu, L., Lv, Y. et al. Second-order strong optimality and duality for nonsmooth multiobjective fractional programming with constraints. Positivity 28, 36 (2024). https://doi.org/10.1007/s11117-024-01052-5
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11117-024-01052-5
Keywords
- Multiobjective fractional programming
- Second-order optimality conditions
- Borwein-type properly efficient solution
- Second-order Abadie-type regular condition
- Mond-Weir duality