Skip to main content
Erschienen in: Journal of Applied Mathematics and Computing 5/2022

09.11.2021 | Original Research

Optimality and duality for second-order interval-valued variational problems

verfasst von: Vivek Dhingra, N. Kailey

Erschienen in: Journal of Applied Mathematics and Computing | Ausgabe 5/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

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.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
2.
Zurück zum Zitat Ichida, K.: Constrained optimization using interval analysis. Comput. Ind. Eng. 31(3–4), 933–937 (1996)CrossRef Ichida, K.: Constrained optimization using interval analysis. Comput. Ind. Eng. 31(3–4), 933–937 (1996)CrossRef
3.
Zurück zum Zitat Walster, G.W., Hansen, E.: Using pillow functions to efficiently compute crude range tests. Numer. Algorithms 37(1–4), 401–415 (2004)MathSciNetCrossRef Walster, G.W., Hansen, E.: Using pillow functions to efficiently compute crude range tests. Numer. Algorithms 37(1–4), 401–415 (2004)MathSciNetCrossRef
4.
Zurück zum Zitat Csallner, A.E.: Lipschitz continuity and the termination of interval methods for global optimization. Comput. Math. Appl. 42(8–9), 1035–1042 (2001)MathSciNetCrossRef Csallner, A.E.: Lipschitz continuity and the termination of interval methods for global optimization. Comput. Math. Appl. 42(8–9), 1035–1042 (2001)MathSciNetCrossRef
5.
Zurück zum Zitat 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)MathSciNetCrossRef 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)MathSciNetCrossRef
6.
Zurück zum Zitat 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)MathSciNetCrossRef 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)MathSciNetCrossRef
7.
Zurück zum Zitat Suprajitno, H., Mohd, I.B.: Linear programming with interval arithmetic. Int. J. Contemp. Math. Sci. 5(7), 323–332 (2010)MathSciNetMATH Suprajitno, H., Mohd, I.B.: Linear programming with interval arithmetic. Int. J. Contemp. Math. Sci. 5(7), 323–332 (2010)MathSciNetMATH
8.
Zurück zum Zitat Hladík, M.: Optimal value range in interval linear programming. Fuzzy Optim. Decis. Mak. 8(3), 283–294 (2009)MathSciNetCrossRef Hladík, M.: Optimal value range in interval linear programming. Fuzzy Optim. Decis. Mak. 8(3), 283–294 (2009)MathSciNetCrossRef
9.
Zurück zum Zitat Gabrel, V., Murat, C., Remli, N.: Linear programming with interval right hand sides. Int. Trans. Oper. Res. 17(3), 397–408 (2010)MathSciNetCrossRef Gabrel, V., Murat, C., Remli, N.: Linear programming with interval right hand sides. Int. Trans. Oper. Res. 17(3), 397–408 (2010)MathSciNetCrossRef
10.
Zurück zum Zitat Arjmandzadeh, Z., Safi, M., Nazemi, A.: A new neural network model for solving random interval linear programming problems. Neural Netw. 89, 11–18 (2017)CrossRef Arjmandzadeh, Z., Safi, M., Nazemi, A.: A new neural network model for solving random interval linear programming problems. Neural Netw. 89, 11–18 (2017)CrossRef
11.
Zurück zum Zitat 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)MathSciNetCrossRef 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)MathSciNetCrossRef
12.
13.
14.
Zurück zum Zitat 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)MathSciNetCrossRef 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)MathSciNetCrossRef
15.
Zurück zum Zitat 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)MathSciNetCrossRef 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)MathSciNetCrossRef
16.
Zurück zum Zitat 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., 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)
17.
Zurück zum Zitat Zhang, J.: Optimality condition and Wolfe duality for invex interval-valued nonlinear programming problems. J. Appl. Math. Article ID 641345 (2013) Zhang, J.: Optimality condition and Wolfe duality for invex interval-valued nonlinear programming problems. J. Appl. Math. Article ID 641345 (2013)
18.
Zurück zum Zitat 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)MathSciNetCrossRef 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)MathSciNetCrossRef
19.
Zurück zum Zitat 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.: Univex interval-valued mapping with differentiability and its application in nonlinear programming. J. Appl. Math. 383692 (2013)
20.
Zurück zum Zitat 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) 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)
21.
Zurück zum Zitat 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)MathSciNetCrossRef 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)MathSciNetCrossRef
22.
Zurück zum Zitat Luu, D.V., Mai, T.T.: Optimality and duality in constrained interval-valued optimization. 4OR 16(3), 311–337 (2018)MathSciNetCrossRef Luu, D.V., Mai, T.T.: Optimality and duality in constrained interval-valued optimization. 4OR 16(3), 311–337 (2018)MathSciNetCrossRef
23.
Zurück zum Zitat Bentkowska, U.: Interval-Valued Methods in Classifications and Decisions. Studies in Fuzziness and Soft Computing, vol. 378. Springer, Cham (2020)CrossRef Bentkowska, U.: Interval-Valued Methods in Classifications and Decisions. Studies in Fuzziness and Soft Computing, vol. 378. Springer, Cham (2020)CrossRef
24.
Zurück zum Zitat 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)MathSciNetCrossRef 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)MathSciNetCrossRef
25.
Zurück zum Zitat Troutman, J.L.: Variational Calculus and Optimal Control, Optimization with Elementary Convexity. Springer, New York (1996)CrossRef Troutman, J.L.: Variational Calculus and Optimal Control, Optimization with Elementary Convexity. Springer, New York (1996)CrossRef
26.
Zurück zum Zitat Esmaelzadeh, R.: Low-thrust orbit transfer optimization using a combined method. Int. J. Comput. Appl. 89(4), 20–24 (2014) Esmaelzadeh, R.: Low-thrust orbit transfer optimization using a combined method. Int. J. Comput. Appl. 89(4), 20–24 (2014)
27.
Zurück zum Zitat Koopialipoor, M., Noorbakhsh, A.: Applications of artificial intelligence techniques in optimizing drilling. In: Emerging Trends in Mechatronics, pp. 89–118. IntechOpen, London (2020) Koopialipoor, M., Noorbakhsh, A.: Applications of artificial intelligence techniques in optimizing drilling. In: Emerging Trends in Mechatronics, pp. 89–118. IntechOpen, London (2020)
28.
Zurück zum Zitat Hanson, M.A.: Bounds for functionally convex optimal control problems. J. Math. Anal. Appl. 8(1), 84–89 (1964)MathSciNetCrossRef Hanson, M.A.: Bounds for functionally convex optimal control problems. J. Math. Anal. Appl. 8(1), 84–89 (1964)MathSciNetCrossRef
29.
30.
Zurück zum Zitat 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)MathSciNetCrossRef 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)MathSciNetCrossRef
31.
Zurück zum Zitat Mond, B., Hanson, M.A.: Symmetric duality for variational problems. J. Math. Anal. Appl. 23(1), 161–172 (1968)MathSciNetCrossRef Mond, B., Hanson, M.A.: Symmetric duality for variational problems. J. Math. Anal. Appl. 23(1), 161–172 (1968)MathSciNetCrossRef
32.
Zurück zum Zitat Mishra, S.K., Mukherjee, R.N.: Duality for multiobjective fractional variational problems. J. Math. Anal. Appl. 186(3), 711–725 (1994)MathSciNetCrossRef Mishra, S.K., Mukherjee, R.N.: Duality for multiobjective fractional variational problems. J. Math. Anal. Appl. 186(3), 711–725 (1994)MathSciNetCrossRef
33.
Zurück zum Zitat Jayswal, A., Jha, S.: Second order symmetric duality in fractional variational problems over cone constraints. Yugosl. J. Oper. Res. 28(1), 39–57 (2018)MathSciNetCrossRef Jayswal, A., Jha, S.: Second order symmetric duality in fractional variational problems over cone constraints. Yugosl. J. Oper. Res. 28(1), 39–57 (2018)MathSciNetCrossRef
34.
Zurück zum Zitat Sachdev, G., Verma, K., Gulati, T.R.: Second-order symmetric duality in multiobjective variational problems. Yugosl. J. Oper. Res. 29(3), 295–308 (2019)MathSciNetCrossRef Sachdev, G., Verma, K., Gulati, T.R.: Second-order symmetric duality in multiobjective variational problems. Yugosl. J. Oper. Res. 29(3), 295–308 (2019)MathSciNetCrossRef
35.
Zurück zum Zitat 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)CrossRef 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)CrossRef
36.
Zurück zum Zitat Ishibuch, H., Tanaka, H.: Multiobjective programming in optimization of the interval objective function. Eur. J. Oper. Res. 48(2), 219–225 (1990)CrossRef Ishibuch, H., Tanaka, H.: Multiobjective programming in optimization of the interval objective function. Eur. J. Oper. Res. 48(2), 219–225 (1990)CrossRef
37.
Zurück zum Zitat Moore, R.E.: Methods and Applications of Interval Analysis. Society for Industrial and Applied Mathematics, Philadelphia (1979)CrossRef Moore, R.E.: Methods and Applications of Interval Analysis. Society for Industrial and Applied Mathematics, Philadelphia (1979)CrossRef
38.
Zurück zum Zitat Chandra, S., Craven, B.D., Husain, I.: A class of nondifferentiable continuous programming problems. J. Math. Anal. Appl. 107(1), 122–131 (1985)MathSciNetCrossRef Chandra, S., Craven, B.D., Husain, I.: A class of nondifferentiable continuous programming problems. J. Math. Anal. Appl. 107(1), 122–131 (1985)MathSciNetCrossRef
39.
Zurück zum Zitat Bector, C.R., Chandra, S., Husain, I.: Generalized concavity and duality in continuous programming. Ufilifas Math. 25, 171–190 (1984)MathSciNetMATH Bector, C.R., Chandra, S., Husain, I.: Generalized concavity and duality in continuous programming. Ufilifas Math. 25, 171–190 (1984)MathSciNetMATH
40.
Zurück zum Zitat Bector, C.R., Husain, I.: Duality for multiobjective variational problems. J. Math. Anal. Appl. 166(1), 214–229 (1992)MathSciNetCrossRef Bector, C.R., Husain, I.: Duality for multiobjective variational problems. J. Math. Anal. Appl. 166(1), 214–229 (1992)MathSciNetCrossRef
Metadaten
Titel
Optimality and duality for second-order interval-valued variational problems
verfasst von
Vivek Dhingra
N. Kailey
Publikationsdatum
09.11.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Applied Mathematics and Computing / Ausgabe 5/2022
Print ISSN: 1598-5865
Elektronische ISSN: 1865-2085
DOI
https://doi.org/10.1007/s12190-021-01657-z

Weitere Artikel der Ausgabe 5/2022

Journal of Applied Mathematics and Computing 5/2022 Zur Ausgabe

Premium Partner