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On preinvex interval-valued functions and unconstrained interval-valued optimization problems. (English) Zbl 07792466

The main research goal of this paper is to investigate the generalized convexity of interval-valued functions under the total order relation and apply it to a class of unconstrained interval-valued optimization problems. The paper is well written and structured, theorems are carefully proved, and the text is accompanied with simple and easy-to-understand examples.
After providing preliminaries, the authors first present a new definition of a preinvex interval-valued function under \(cw\)-order and prove that it is equivalent to a convex interval-valued function on \([0, 1]\). Then, a necessary and sufficient condition for it is given under the condition that the endpoint functions are differentiable. In the next section, a new concept of \(\preceq_{cw}\)-semicontinuity is introduced and its close relationship with preinvex interval-valued functions is proved. Finally, as an application related to preinvex interval-valued functions, a class of unconstrained interval-valued optimization problems is considered and existence theorems for optimal solutions through variational inequalities are derived.

MSC:

52A01 Axiomatic and generalized convexity
46N10 Applications of functional analysis in optimization, convex analysis, mathematical programming, economics
65K10 Numerical optimization and variational techniques
90C70 Fuzzy and other nonstochastic uncertainty mathematical programming
49J40 Variational inequalities

References:

[1] A.K. Bhunia and S.S. Samanta, A study of interval metric and its application in multi-objective optimization with interval objectives. Comput. Ind. Eng. 74 (2014) 169-178.
[2] J.M. Borwein, Convex Relations in Analysis and Optimization. Generalized concavity in optimization and economics, Academic Press, New York (1981) 335-377. · Zbl 0535.90087
[3] Y. Chalco-Cano, W.A. Lodwick and A. Rufian-Lizana, Optimality conditions of type KKT for optimization problem with interval-valued objective function via generalized derivative. Fuzzy Optim. Decis. Mak. 12 (2013) 305-322. · Zbl 1428.90189
[4] D. Ghosh, R.S. Chauhan, R. Mesiar and A.K. Debnatha, Generalized Hukuhara Gâteaux and Fréchet derivatives of interval-valued functions and their application in optimization with interval-valued functions. Inform. Sci. 510 (2020) 317-340. · Zbl 1459.49006
[5] B. Hu and S. Wang, A novel approach in uncertain programming part I: New arithmetic and order relation for interval numbers. J. Ind. Manag. Optim. 2 (2006) 351. · Zbl 1115.65050
[6] H. Ishibuchi and H. Tanaka, Multiobjective programming in optimization of the interval objective function. Eur. J. Oper. Res. 48 (1990) 219-225. · Zbl 0718.90079
[7] M.B. Khan, M.A. Noor, H.M. Al-Bayatti and K.I. Noor, Some new inequalities for LR-log-h-convex IVFs by means of pseudo order relation. Appl. Math. Inf. Sci. 15 (2021) 459-470.
[8] G. Kumar and D. Ghosh, Ekeland’s variational principle for interval-valued functions. Comput. Appl. Math. 42 (2023) 28. · Zbl 1524.26008
[9] L. Li, Optimality conditions for nonlinear optimization problems with interval-valued objective function in admissible orders. Fuzzy Optim. Decis. Mak. 22 (2023) 247-265. · Zbl 1531.90138
[10] L. Li, S. Liu and J. Zhang, On interval-valued invex mappings and optimality conditions for interval-valued optimization problems. J. Inequal. Appl. 2015 (2015) 179. · Zbl 1335.49028
[11] S. Markov, Calculus for interval functions of a real variable. Computing 22 (1979) 325-337. · Zbl 0408.65026
[12] S.R. Mohan and S.K. Neogy, On invex sets and preinvex functions. J. Math. Anal. Appl. 189 (1995) 901-908. · Zbl 0831.90097
[13] N. Pedroni, Computational methods for the robust optimization of the design of a dynamic aerospace system in the presence of aleatory and epistemic uncertainties. Mech. Syst. Signal Process. 164(2022) 108206.
[14] D. Qiu, The generalized hukuhara differentiability of interval-valued function is not fully equivalent to the one-sided differen-tiability of its endpoint functions. Fuzzy Sets Syst. 419 (2021) 158-68. · Zbl 1522.26026
[15] M. Rahman, A. Shaikh and A. Bhunia, Necessary and sufficient optimality conditions for nonlinear unconstrained and con-strained optimization problem with interval valued objective function. Comput. Ind. Eng. 147 (2020) 106634.
[16] M.S. Rahman, A.K. Manna, A.A. Shaikh and A.K. Bhunia, An application of interval differential equation on a production inventory model with interval-valued demand via center-radius optimization technique and particle swarm optimization. Int. J. Intell. Syst. 35 (2020) 1280-1326.
[17] M.R. Safi and A. Razmjoo, Solving fixed charge transportation problem with interval parameters. Appl. Math. Model. 37 (2013) 8341-8347. · Zbl 1426.90188
[18] L. Stefanini, A generalization of Hukuhara difference and division for interval and fuzzy arithmetic. Fuzzy Sets Syst. 161 (2010) 1564-1584. · Zbl 1188.26019
[19] L. Stefanini and B. Bede, Generalized Hukuhara differentiability of interval-valued functions and interval differential equations. Nonlinear Anal. Theory 71 (2009) 1311-1328. · Zbl 1188.28002
[20] L. Stefanini and M. Arana-Jiménez, Karush-Kuhn-Tucker conditions for interval and fuzzy optimization in several variables under total and directional generalized differentiability. Fuzzy Set Syst. 362 (2019) 1-34. · Zbl 1423.90288
[21] S. Treanţȃ, On a class of constrained interval-valued optimization problems governed by mechanical work cost functionals. J. Optim. Theory Appl. 188 (2021) 913-924. · Zbl 1477.49007
[22] S. Treanţǎ, LU-optimality conditions in optimization problems with mechanical work objective functionals. IEEE Trans. Neural Netw. Learn. Syst. 33 (2022) 4971-4978.
[23] S. Treanţǎ, Saddle-point optimality criteria involving ( , , )-invexity and ( , , )-pseudoinvexity in interval-valued opti-mization problems. Int. J. Control 95 (2022) 1042-1050. · Zbl 1490.49004
[24] H.C. Wu, The Karush-Kuhn-Tucker optimality conditions in an optimization problem with interval-valued objective function. Eur. J. Oper. Res. 176 (2007) 46-59. · Zbl 1137.90712
[25] Z. Wu and J. Xu, Generalized convex fuzzy mappings and fuzzy variational-like inequality. Fuzzy Sets Syst. 160 (2009) 1590-1619. · Zbl 1182.26078
[26] Q. Wu, X. Liu, J. Qin and L. Zhou, Multi-criteria group decision-making for portfolio allocation with consensus reaching process under interval type-2 fuzzy environment. Inform. Sci. 570 (2021) 668-688. · Zbl 1530.91538
[27] X. Yang and D. Li, On properties of preinvex functions. J. Math. Anal. Appl. 256 (2001) 229-241. · Zbl 1016.90056
[28] J. Zhang, S. Liu, L. Li and Q. Feng, The KKT optimality conditions in a class of generalized convex optimization problems with an interval-valued objective function. Optim. Lett. 8 (2014) 607-631. · Zbl 1317.90240
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