Abstract
The paper studies the second-order interval-valued variational problem under \(\eta \)-bonvexity assumptions and proves the necessary optimality conditions. We investigate the functional which is \(\eta \)-bonvex but not invex. Further, we prove the duality theorems i.e. the weak and strong duality theorem to relate the values of the primal problem and dual problem. To validate the credibility of the weak duality theorem, we formulate an example of a second-order interval-valued variational problem.
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References
Skelboe, S.: Computation of rational interval functions. BIT Numer. Math. 14(1), 87–95 (1974)
Ichida, K.: Constrained optimization using interval analysis. Comput. Ind. Eng. 31(3–4), 933–937 (1996)
Walster, G.W., Hansen, E.: Using pillow functions to efficiently compute crude range tests. Numer. Algorithms 37(1–4), 401–415 (2004)
Csallner, A.E.: Lipschitz continuity and the termination of interval methods for global optimization. Comput. Math. Appl. 42(8–9), 1035–1042 (2001)
Casado, L.G., Martínez, J.A., García, I.: Experiments with a new selection criterion in a fast interval optimization algorithm. J. Glob. Optim. 19(3), 247–264 (2001)
Martínez, J.A., Casado, L.G., García, I., Sergeyev, Y.D., Tóth, B.: On an efficient use of gradient information for accelerating interval global optimization algorithms. Numer. Algorithms 37(1–4), 61–69 (2004)
Suprajitno, H., Mohd, I.B.: Linear programming with interval arithmetic. Int. J. Contemp. Math. Sci. 5(7), 323–332 (2010)
Hladík, M.: Optimal value range in interval linear programming. Fuzzy Optim. Decis. Mak. 8(3), 283–294 (2009)
Gabrel, V., Murat, C., Remli, N.: Linear programming with interval right hand sides. Int. Trans. Oper. Res. 17(3), 397–408 (2010)
Arjmandzadeh, Z., Safi, M., Nazemi, A.: A new neural network model for solving random interval linear programming problems. Neural Netw. 89, 11–18 (2017)
Wu, H.C.: The Karush–Kuhn–Tucker optimality conditions in an optimization problem with interval-valued objective function. Eur. J. Oper. Res. 176(1), 46–59 (2007)
Wu, H.C.: On interval-valued nonlinear programming problems. J. Math. Anal. Appl. 338(1), 299–316 (2008)
Wu, H.C.: Wolfe duality for interval-valued optimization. J. Optim. Theory Appl. 138(3), 497–509 (2008)
Chalco-Cano, Y., Lodwick, W.A., Rufian-Lizan, A.: Optimality conditions of type KKT for optimization problem with interval-valued objective function via generalized derivative. Fuzzy. Optim. Decis. Mak. 12(3), 305–322 (2013)
Zhang, J., Liu, S., Li, L., Feng, Q.: The KKT optimality conditions in a class of generalized convex optimization problems with an interval-valued objective function. Optim. Lett. 8(2), 607–631 (2014)
Zhang, J., Zheng, Q., Zhou, C., Ma, X., Li, L.: On interval-valued pseudolinear functions and interval-valued pseudolinear optimization problems. J. Funct. Spaces. Article ID 610848 (2015)
Zhang, J.: Optimality condition and Wolfe duality for invex interval-valued nonlinear programming problems. J. Appl. Math. Article ID 641345 (2013)
Zhang, J., Zheng, Q., Ma, X., Li, L.: Relationships between interval-valued vector optimization problems and vector variational inequalities. Fuzzy. Optim. Decis. Mak. 15(1), 33–55 (2016)
Li, L., Liu, S., Zhang, J.: Univex interval-valued mapping with differentiability and its application in nonlinear programming. J. Appl. Math. 383692 (2013)
Li, L., Liu, S., Zhang, J.: On interval-valued invex mappings and optimality conditions for interval-valued optimization problems. J. Inequal. Appl. Article Number 179 (2015)
Osuna-Gómez, R., Chalco-Cano, Y., Hernández-Jiménez, B., Ruiz-Garzón, G.: Optimality conditions for generalized differentiable interval-valued functions. Inf. Sci. 321, 136–146 (2015)
Luu, D.V., Mai, T.T.: Optimality and duality in constrained interval-valued optimization. 4OR 16(3), 311–337 (2018)
Bentkowska, U.: Interval-Valued Methods in Classifications and Decisions. Studies in Fuzziness and Soft Computing, vol. 378. Springer, Cham (2020)
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)
Troutman, J.L.: Variational Calculus and Optimal Control, Optimization with Elementary Convexity. Springer, New York (1996)
Esmaelzadeh, R.: Low-thrust orbit transfer optimization using a combined method. Int. J. Comput. Appl. 89(4), 20–24 (2014)
Koopialipoor, M., Noorbakhsh, A.: Applications of artificial intelligence techniques in optimizing drilling. In: Emerging Trends in Mechatronics, pp. 89–118. IntechOpen, London (2020)
Hanson, M.A.: Bounds for functionally convex optimal control problems. J. Math. Anal. Appl. 8(1), 84–89 (1964)
Mond, B., Hanson, M.A.: Duality for variational problems. J. Math. Anal. Appl. 18(2), 355–364 (1967)
Kailey, N., Gupta, S.K.: Duality for a class of symmetric nondifferentiable multiobjective fractional variational problems with generalized (F, \(\alpha \), \(\rho \), d)-convexity. Math. Comput. Model. 57(5–6), 1453–1465 (2013)
Mond, B., Hanson, M.A.: Symmetric duality for variational problems. J. Math. Anal. Appl. 23(1), 161–172 (1968)
Mishra, S.K., Mukherjee, R.N.: Duality for multiobjective fractional variational problems. J. Math. Anal. Appl. 186(3), 711–725 (1994)
Jayswal, A., Jha, S.: Second order symmetric duality in fractional variational problems over cone constraints. Yugosl. J. Oper. Res. 28(1), 39–57 (2018)
Sachdev, G., Verma, K., Gulati, T.R.: Second-order symmetric duality in multiobjective variational problems. Yugosl. J. Oper. Res. 29(3), 295–308 (2019)
Ahmad, I., Jayswal, A., Al-Homidan, S., Banerjee, J.: Sufficiency and duality in interval-valued variational programming. Neural Comput. Appl. 31(8), 4423–4433 (2019)
Ishibuch, H., Tanaka, H.: Multiobjective programming in optimization of the interval objective function. Eur. J. Oper. Res. 48(2), 219–225 (1990)
Moore, R.E.: Methods and Applications of Interval Analysis. Society for Industrial and Applied Mathematics, Philadelphia (1979)
Chandra, S., Craven, B.D., Husain, I.: A class of nondifferentiable continuous programming problems. J. Math. Anal. Appl. 107(1), 122–131 (1985)
Bector, C.R., Chandra, S., Husain, I.: Generalized concavity and duality in continuous programming. Ufilifas Math. 25, 171–190 (1984)
Bector, C.R., Husain, I.: Duality for multiobjective variational problems. J. Math. Anal. Appl. 166(1), 214–229 (1992)
Acknowledgements
The authors would like to sincerely thank the referees for their valuable comments and suggestions, which significantly improved the paper’s readability. The authors acknowledge DST-FIST (Govt. of India) for the grant SR/FST/MS-1/2017/13 to support this research work. Also, the second author gratefully acknowledges technical support from the Seed Money Project TU/DORSP/57/7293 of TIET, Patiala.
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Dhingra, V., Kailey, N. Optimality and duality for second-order interval-valued variational problems. J. Appl. Math. Comput. 68, 3147–3162 (2022). https://doi.org/10.1007/s12190-021-01657-z
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DOI: https://doi.org/10.1007/s12190-021-01657-z
Keywords
- Interval-valued problem
- Calculus of variation
- Second-order
- \(\eta \)-Bonnvex functions
- Duality theorems