Abstract
In this chapter we introduce the concepts of KT-pseudo d-univex-I, KT-pseudo d-univex-II, and FJ-pseudo d-univex-II functions. The main objective of introducing these functions is to establish characterizations for efficient solutions to nondifferentiable multiobjective programming problems. Moreover, characterizations for efficient solutions by Fritz—John optimality conditions are also obtained. Furthermore, the Mond—Weir type dual problem is studied and weak, strong, and converse duality results are established involving the aforementioned class of functions.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
T. Antczak, Multiobjective programming under d-invexity, European, J. Oper. Res. 137 (2002) 28–36.
M. Arana-Jimenez, A. Rufian-Lizana, R. Osuna-Gomez, G. Ruiz-Garzon, Pseudoinvexity, optimality conditions and efficiency in multiobjective problems; duality, Nonlinear Anal. 68 (2008) 24–34.
A. Ben-Israel, B. Mond, What is invexity?, J. Aust. Math. Soc. Ser. B 28 (1986) 1–9.
B. D. Craven, Invex functions and constraint local minima, J. Aust. Math. Soc. Ser. B 24 (1981) 357–366.
B. D. Craven, B. M. Glover, Invex functions and duality, J. Aust. Math. Soc. Ser. A 39 (1985) 1–20.
V. Chankong, Y. Y. Haimes, Multiobjective Decision Making: Theory and Methodology, North-Holland, New York, 1983.
C. R. Bector, S. K. Suneja, S. Gupta, Univex functions and univex nonlinear programming, in: Proceedings of the Administrative Sciences Association of Canada, 1992, pp. 115–124.
R. R. Egudo, M. A. Hanson, Multiobjective duality with invexity, J. Math. Anal. Appl. 126 (1987) 469–477.
T. R. Gulati, N. Talaat, Sufficiency and duality in nondifferentiable multiobjective programming, Opsearch 28 (2) (1991) 73–87.
M. A. Hanson, On sufficiency of Kuhn-Tucker conditions, J. Math. Anal. Appl. 80 (1981) 545–550.
P. Kanniappan, Necessary conditions for optimality of nondifferentiable convex multiobjective programming, J. Optim. Theory Appl. 40 (1983) 167–174.
D. M. Martin, The essence of invexity, J. Optim. Theory Appl. 47 (1) (1985) 65–76.
O. L. Mangasarian, Nonlinear Programming, McGraw-Hill, New York, 1969.
S. K. Mishra, G. Giorgi, Invexity and Optimization, Nonconvex Optimization and Its Applications, Vol. 88, Springer-Verlag, Berlin, 2008.
S. K. Mishra, S. Y. Wang, K. K. Lai, Nondifferentiable multiobjective programming under generalized d-univexity, European J. Oper. Res. 160 (2005) 218–226.
B. Mond, T. Weir, Generalized concavity and duality, in: S. Schaible, W. T. Ziemba (Eds), Generalized Concavity in Optimization and Economics, Academic Press, New York, 1981, pp. 263–279.
R. Osuna-Gomez, A. Beato-Moreno, A. Rufian-Lizana, Generalized convexity in multiobjective programming, J. Math. Anal. Appl. 233 (1999) 205–220.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Rautela, J.S., Singh, V. (2011). On Efficiency in Nondifferentiable Multiobjective Optimization Involving Pseudo d-Univex Functions; Duality. In: Mishra, S. (eds) Topics in Nonconvex Optimization. Springer Optimization and Its Applications(), vol 50. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9640-4_16
Download citation
DOI: https://doi.org/10.1007/978-1-4419-9640-4_16
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-9639-8
Online ISBN: 978-1-4419-9640-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)