Duality in nondifferentiable multiobjective fractional programming problem with generalized invexity

2009 ◽  
Vol 35 (1-2) ◽  
pp. 103-118 ◽  
Author(s):  
T. R. Gulati ◽  
Geeta
2019 ◽  
Vol 26 (3) ◽  
pp. 393-404 ◽  
Author(s):  
Ramu Dubey ◽  
S. K. Gupta

Abstract The purpose of this paper is to study a nondifferentiable multiobjective fractional programming problem (MFP) in which each component of objective functions contains the support function of a compact convex set. For a differentiable function, we introduce the class of second-order {(C,\alpha,\rho,d)-V} -type-I convex functions. Further, Mond–Weir- and Wolfe-type duals are formulated for this problem and appropriate duality results are proved under the aforesaid assumptions.


2003 ◽  
Vol 68 (3) ◽  
pp. 449-459 ◽  
Author(s):  
X. M. Yang ◽  
X. Q. Yang ◽  
K. L. Teo

In this paper, we first discuss some basic properties of semipreinvex functions. We then show that the ratio of semipreinvex functions is semipreinvex, which extends earlier results by Khan and Hanson [6] and Craven and Mond [3]. Finally, saddle point optimality criteria are developed for a multiobjective fractional programming problem under semipreinvexity conditions.


2020 ◽  
Vol 8 (1) ◽  
pp. 187-205 ◽  
Author(s):  
Ramu Dubey ◽  
Deepmala ◽  
Vishnu Narayan Mishra

In this paper, we introduce the definition of higher-order K-(C, α, ρ, d)-convexity/pseudoconvexity over cone and discuss a nontrivial numerical examples for existing such type of functions. The purpose of the paper is to study higher order fractional symmetric duality over arbitrary cones for nondifferentiable Mond-Weir type programs under higher- order K-(C, α, ρ, d)-convexity/pseudoconvexity assumptions. Next, we prove appropriate duality relations under aforesaid assumptions.


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