×

Interval valued vector variational inequalities and vector optimization problems via convexificators. (English) Zbl 07843630

Summary: In this study, we take into account interval-valued vector optimization problems (IVOP) and obtain their relationships to interval vector variational inequalities (IVVI) of Stampacchia and Minty kind in aspects of convexificators, as well as the (IVOP) LU-efficient solution under the LU-convexity assumption. Additionally, we examine the weak version of the (IVVI) of the Stampacchia and Minty kind and determine the relationships between them and the weakly LU-efficient solution of the (IVOP). The results of this study improve and generalizes certain earlier results from the literature.

MSC:

49J40 Variational inequalities
49J52 Nonsmooth analysis
58E17 Multiobjective variational problems, Pareto optimality, applications to economics, etc.

References:

[1] D. Chan and J.S. Pang, The generalized quasi variational inequality problems, Math. Oper. Research 7 (1982), 211-222. · Zbl 0502.90080 · doi:10.1287/moor.7.2.211
[2] Q.H. Ansari, E. Kobis and J.C. Yao, Vector variational inequalities and vector optimization, Springer International Publishing AG, 2018. · Zbl 1394.49001
[3] F.H. Clarke, Optimization and Nonsmooth Analysis, Wiley-Interscience, New York, 1983. · Zbl 0582.49001
[4] S. Dafermos, Exchange price equilibria and variational inequalities, Math. Program. 46 (1990), 391-402. · Zbl 0709.90013 · doi:10.1007/BF01585753
[5] V.F. Demyanov, Convexification and Concavification of positively homogeneous functions by the same family of linear functions, Report 3 (1994), 802.
[6] F. Giannessi, Theorems of alternative, quadratic programs and complementarity problems, in Variational Inequality and Complementarity Problems, (ed. by R.W. Cottle, F. Giannessi, and J.L. Lions), John Wiley and Sons, New York, 151-186, 1994. · Zbl 0484.90081
[7] M. Golestani and S. Nobakhtian, Convexificator and strong Kuhn-Tucker conditions, Comput. Math. Appl. 64 (2012), 550-557. · Zbl 1252.90073 · doi:10.1016/j.camwa.2011.12.047
[8] H. Ishibuchi and H. Tanaka, Multiobjective programming in optimization of the interval objective function, European J. Oper. Res. 48 (1990), 219-225. · Zbl 0718.90079 · doi:10.1016/0377-2217(90)90375-L
[9] M. Jennane, L. El Fadil and E.M. Kalmoun, Interval-valued vector optimization problems involving generalized approximate convexity, Journal of Mathematics and Computer Science 26 (2020), 67-79.
[10] M. Jennane, E.M. Kalmoun and L. Lafhim, Optimality conditions for nonsmooth interval-valued and multiobjective semi-infinite programming, RAIRO-Oper Res. 55 (2021), 1-11. · Zbl 1468.49016 · doi:10.1051/ro/2020066
[11] V. Jeyakumar and D.T. Luc, Nonsmooth calculus, minimality, and monotonicity of convexificators, J. Optim. Theory Appl. 101 (1999), 599-621. · Zbl 0956.90033 · doi:10.1023/A:1021790120780
[12] F.A. Khan, R.K. Bhardwaj, T. Ram and Mohammed A.S. Tom, On approximate vector variational inequalities and vector optimization problem using convexificator, AIMS Mathematics 7 (2022), 18870-18882. · doi:10.3934/math.20221039
[13] D. Kinderlehrer and G. Stampacchia, An introduction to variational inequalities and their applications, Academic Press, London, 1980. · Zbl 0457.35001
[14] V. Laha and S.K. Mishra, On vector optimization problems and vector variational inequalities using convexifactors, J. Math. Programm. Oper. Res. 66 (2017), 1837-1850. · Zbl 1409.90171
[15] K.K. Lai, S.K. Mishra, M. Hassan, J. Bisht and J.K. Maurya, Duality results for interval-valued semiinfinite optimization problems with equilibrium constraints using convexificators, Journal of Inequalities and Applications 128 (2022), 1-18. · Zbl 1509.90196
[16] X.F. Li and J.Z. Zhang, Necessary optimality conditions in terms of convexificators in Lipschitz optimization, J. Optim. Theory Appl. 131 (2006), 429-452. · Zbl 1143.90035 · doi:10.1007/s10957-006-9155-z
[17] X.J. Long and N.J. Huang, Optimality conditions for efficiency on nonsmooth multiobjective programming problems, Taiwanese J. Math. 18 (2014), 687-699. · Zbl 1357.90133
[18] D.V. Luu, Necessary and sufficient conditions for efficiency via convexificators, J. Optim Theory Appl. 160 (2014), 510-526. · Zbl 1314.90075 · doi:10.1007/s10957-013-0377-6
[19] D.V. Luu, Convexifcators and necessary conditions for efficiency, Optim. 63 (2013), 321-335. · Zbl 1321.90150 · doi:10.1080/02331934.2011.648636
[20] P. Michel and J.P. Penot, A generalized derivative for calm and stable functions, Differ. Integral Equ. 5 (1992), 433-454. · Zbl 0787.49007
[21] R.E. Moore, Interval Analysis, Prentice-Hall, Englewood Cliffs, 1966. · Zbl 0176.13301
[22] R.E. Moore, Method and Applications of Interval Analysis, SIAM, Philadelphia, 1979. · Zbl 0417.65022
[23] B.S. Mordukhovich and Y.H. Shao, On nonconvex subdifferential calculus in Banach spaces, J. Convex Anal. 2 (1995), 211-227. · Zbl 0838.49013
[24] R. Osuna-Gomez, B. Hernadez-Jimenez and Y. Chalco-Cano, New efficiency conditions for multiobjective interval-valued programming problems, Inf Sci. 420 (2017), 235-248. · Zbl 1453.90151 · doi:10.1016/j.ins.2017.08.022
[25] A.D. Singh and B.A. Dar, Optimality conditions in multiobjective programming problems with interval valued objective functions, Control Cybern. 44 (2015), 19-45. · Zbl 1329.49040
[26] A.D. Singh and B.A. Dar and D.S. Kim, Sufficiency and duality in non-smooth interval valued programming problems, J Ind Manag. Optim. 15 (2019), 647-665. · Zbl 1438.90336 · doi:10.3934/jimo.2018063
[27] B.B. Upadhyay, P. Mishra, R.N. Mohapatra and S.K. Mishra, On the applications of nonsmooth vector optimization problems to solve generalized vector variational inequalities using convexificators, Advances in Intelligent Systems and Computing 991 (2020), 660-671. · Zbl 1429.90084 · doi:10.1007/978-3-030-21803-4_66
[28] H.C. Wu, Duality theory for optimization problems with interval-valued objective functions, J. Optim Theory Appl. 144 (2010), 615-628. · Zbl 1198.90365 · doi:10.1007/s10957-009-9613-5
[29] J. Zhang, Q. Zheng, X. Ma and L. Li, Relationships between interval-valued vector optimization problems and vector variational inequalities, Fuzzy Optim. Decis. Mak. 15 (2016), 33-55. · Zbl 1428.90168 · doi:10.1007/s10700-015-9212-x
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.