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Applying Convexificators in Nonsmooth Multiobjective Semi-infinite Fractional Interval-Valued Optimization

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Abstract

In this work, we explore a nonsmooth semi-infinite multiobjective fractional interval-valued optimization problem. Using an adequate constraint qualification, we establish necessary optimality conditions in terms of Karush–Kuhn–Tucker multipliers and upper semiregular convexificators. We do not assume that the interval-valued objective function is smooth or that it is convex. There are examples highlighting both our results and the limits of certain past studies.

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References

  1. Amahroq, T., Gadhi, N.: On the regularity condition for vector programming problems. J. Global Optim. 21, 435–443 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  2. Clarke, F.H.: Optimization and Nonsmooth Analysis. Wiley, New York (1983)

    MATH  Google Scholar 

  3. Jeyakumar, V., Luc, D.T.: Nonsmooth calculus, minimality, and monotonicity of convexificators. J. Optim. Theory Appl. 101, 599–621 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  4. Mordukhovich, B.S., Shao, Y.: On nonconvex subdifferential calculus in Banach spaces. J. Convex Anal. 2, 211–227 (1995)

    MathSciNet  MATH  Google Scholar 

  5. Su, T.V., Hang, D.D., Dieu, N.C.: Optimality conditions and duality in terms of convexificators for multiobjective bilevel programming problem with equilibrium constraints. Comput. Appl. Math. 40, Article number: 37 (2021)

  6. Tung, L.T.: Karush–Kuhn–Tucker optimality conditions and duality for multiobjective programming with vanishing constraints. Ann. Oper. Res. 311, 1307–1334 (2022)

    Article  MathSciNet  MATH  Google Scholar 

  7. Schaible, S.: A survey of fractional programming. In: Schaible, S., Ziemba, W.T. (eds.) Generalized Concavity in Optimization and Economics. Academic Press, New York (1981)

    Google Scholar 

  8. Michel, P.P., Penot, J.-P.: Calcul sous-différentiel pour des fonctions lipschitziennes et nonlipschitziennes. C. R. Math. Acad. Sci. 12, 269–272 (1984)

    MATH  Google Scholar 

  9. Demyanov, V.F., Jeyakumar, V.: Hunting for a smaller convex subdifferential. J. Global Optim. 10, 305–326 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  10. Dutta, J., Chandra, S.: Convexificators, generalized convexity, and optimality conditions. J. Optim. Theory Appl. 113, 41–64 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  11. Babahadda, H., Gadhi, N.: Necessary optimality conditions for bilevel optimization problems using convexificators. J. Global Optim. 34, 535–549 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  12. Hejazi, M.A., Movahedian, N., Nobakhtian, S.: Multiobjective problems: enhanced necessary conditions and new constraint qualifications via convexificators. Numer. Funct. Anal. Optim. 39, 11–37 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  13. Hejazi, M.A., Nobakhtian, S.: Optimality conditions for multiobjective fractional programming, via convexificators. J. Ind. Manag. Optim. 16, 623–631 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  14. Kabgani, A., Soleimani-damaneh, M.: Characterization of (weakly/properly/robust) efficient solutions in nonsmooth semiinfinite multiobjective optimization using convexificators. Optimization 67, 217–235 (2017)

    Article  MATH  Google Scholar 

  15. Li, X.F., Zhang, J.Z.: Necessary optimality conditions in terms of convexificators in Lipschitz optimization. J. Optim. Theory Appl. 131, 429–452 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  16. Canovas, M.J., Lopez, M.A., Mordukhovich, B.S., Parra, J.: Variational analysis in semi-infinite and finite programming, I: stability of linear inequality systems of feasible solutions. SIAM J. Optim. 20, 1504–1526 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  17. Chuong, T.D., Tinh, C.T.: Conic linear programming duals for classes of quadratic semi-infinite programs with applications. J. Optim. Theory Appl. 194, 570–596 (2022)

    Article  MathSciNet  MATH  Google Scholar 

  18. Gadhi, N.A.: Necessary optimality conditions for a nonsmooth semi-infinite programming problem. J. Global Optim. 74, 161–168 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  19. Kanzi, N., Soleimani-damaneh, M.: Slater CQ, optimality and duality for quasiconvex semi-infinite optimization problems. J. Math. Anal. Appl. 434, 638–651 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  20. Lopez, M., Still, G.: Semi-infinite programming. Eur. J. Oper. Res. 180, 491–518 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  21. Singh, D., Dar, B.A., Kim, D.S.: KKT optimality conditions in interval-valued multiobjective programming with generalized differentiable functions. Eur. J. Oper. Res. 254, 29–39 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  22. Bhurjee, A.K., Panda, G.: Sufficient optimality conditions and duality theory for interval optimization problem. Ann. Oper. Res. 243, 335–348 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  23. Chalco-Cano, Y., Lodwick, W.A., Rufian-Lizana, A.: Optimality conditions of type KKT for optimization problem with interval-valued objective function via generalized derivative. Fuzzy Optim. Decis. Making 12, 305–322 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  24. Gadhi, N., Ichatouhane, A.: Comments on Optimality conditions for nonsmooth interval-valued and multiobjective semi-infinite programming. RAIRO Oper. Res. 55, 719–721 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  25. Su, T.V., Hang, D.D.: Optimality conditions and duality theorems for nonsmooth semi-infinite interval-valued mathematical programs with vanishing constraints. Comput. Appl. Math. 41, Article number: 422 (2022)

  26. Wu, H.-C.: On interval-valued nonlinear programming problems. J. Math. Anal. Appl. 338, 299–316 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  27. Wu, H.-C.: The Karush–Kuhn–Tucker optimality conditions in an optimization problem with interval-valued objective function. Eur. J. Oper. Res. 176, 46–59 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  28. Debnath, I.P., Gupta, S.K.: Necessary and sufficient optimality conditions for fractional interval-valued optimization problems. In: Deep, K., Jain, M., Salhi, S. (eds.) Decision Science in Action. Asset Analytics. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-0860-4_12

    Chapter  Google Scholar 

  29. Guo, Y., Ye, G., Liu, W., Zhao, D., Treanţă, S.: Optimality conditions and duality for a class of generalized convex interval-valued optimization problems. Mathematics 9(22), 2979 (2021). https://doi.org/10.3390/math9222979

    Article  Google Scholar 

  30. Osuna-Gómez, R., Hernández-Jiménez, B., Chalco-Cano, Y., Ruiz-Garzón, G.: New efficiency conditions for multiobjective interval-valued programming problems. Inf. Sci. 420, 235–248 (2017)

    Article  MATH  Google Scholar 

  31. Tung, L.T.: Karush–Kuhn–Tucker optimality conditions and duality for convex semi-infinite programming with multiple interval-valued objective functions. J. Appl. Math. Comput. 62, 67–91 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  32. Guo, Y., Ye, G., Zhao, D., Liu, W.: gH-symmetrically derivative of interval-valued functions and applications in interval-valued optimization. Symmetry 11(1203), 01–10 (2019)

    Google Scholar 

  33. Goberna, M.A., López, M.A.: Linear Semi-Infinite Optimization. Wiley, Chichester (1998)

    MATH  Google Scholar 

  34. Ewing, G.M.: Sufficient conditions for global minima of suitably convex functionals from variational and control theory. SIAM Rev. 19, 202–220 (1977)

    Article  MathSciNet  MATH  Google Scholar 

  35. Kaur, S.: Theoretical studies in mathematical programming [PhD thesis]. University of Delhi (1983)

  36. Kanzi, N.: Necessary optimality conditions for nonsmooth semi-infinite programming problems. J. Global Optim. 49, 713–725 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  37. Li, W., Nahak, C., Singer, I.: Constraint qualifications for semi-infinite systems of convex inequalities. SIAM J. Optim. 11, 31–52 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  38. 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)

    Article  MathSciNet  MATH  Google Scholar 

  39. Ansari Ardali, A., Movahedian, N., Nobakhtian, S.: Optimality conditions for nonsmooth mathematical programs with equilibrium constraints, using convexificators. Optimization 56, 67–85 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  40. Kanzi, N., Nobakhtian, S.: Optimality conditions for nonsmooth semi-infinite multiobjective programming. Optim. Lett. 8, 1517–1528 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  41. Rockafellar, R.T.: Convex Analysis. Princeton University Press, Princeton (1970)

    Book  MATH  Google Scholar 

  42. Hiriart-Urruty, J.B., Lemarechal, C.: Fundamentals of Convex Analysis. Springer, Berlin (2001)

    Book  MATH  Google Scholar 

  43. Gadhi, N.: Comments on a note on the paper optimality conditions for optimistic bilevel programming problem using convexificators. J. Optim. Theory Appl. 189, 938–943 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  44. Stefanini, L., Bede, B.: Generalized Hukuhara differentiability of interval-valued functions and interval differential equations. Nonlinear Anal. 71, 1311–1328 (2009)

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

Sincere thanks to the anonymous referees for their insightful comments and suggestions.

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Correspondence to Aissam Ichatouhane.

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Gadhi, N.A., Ichatouhane, A. Applying Convexificators in Nonsmooth Multiobjective Semi-infinite Fractional Interval-Valued Optimization. J. Oper. Res. Soc. China (2023). https://doi.org/10.1007/s40305-023-00513-0

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