Optimality, duality and saddle point analysis for interval-valued nondifferentiable multiobjective fractional programming problems

Optimization ◽  
2020 ◽  
pp. 1-31
Author(s):  
Bilal Ahmad Dar ◽  
Anurag Jayswal ◽  
Deepak Singh
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.


Filomat ◽  
2017 ◽  
Vol 31 (9) ◽  
pp. 2557-2574 ◽  
Author(s):  
Tadeusz Antczak

Semi-infinite minimax fractional programming problems with both inequality and equality constraints are considered. The sets of parametric saddle point conditions are established for a new class of nonconvex differentiable semi-infinite minimax fractional programming problems under(?,?)-invexity assumptions. With the reference to the said concept of generalized convexity, we extend some results of saddle point criteria for a larger class of nonconvex semi-infinite minimax fractional programming problems in comparison to those ones previously established in the literature.


Author(s):  
T. Weir

AbstractA pair of symmetric dual multiobjective fractional programming problems is formulated and appropriate duality theorems are established.


2013 ◽  
Vol 58 (1) ◽  
pp. 113-124 ◽  
Author(s):  
Mathias Burger ◽  
Daniel Zelazo ◽  
Frank Allgower

Sign in / Sign up

Export Citation Format

Share Document