SUFFICIENCY AND DUALITY OF FRACTIONAL INTEGRAL PROGRAMMING WITH GENERALIZED INVEXITY

Abstract

Convexity assumptions for fractional programming of variational type are relaxed to generalized invexity. The sufficient optimality conditions are employed to construct a mixed dual programming problem. It will involve the Wolfe type dual and Mond-Weir type dual as its special situations. Several duality theorems concerning weak, strong, and strict converse duality under the framework in mixed type dual form are proved.