Generalized α-invexity and nondifferentiable minimax fractional programming

In this paper, we study a nondifferentiable minimax fractional programming problem under the assumptions of @a-invex function. In this paper we utilize the concept of @a-invexity [M.A. Noor, On generalized preinvex functions and monotonicities, J. Inequalities Pure Appl. Math. 5 (2004) 1-9] and pseudo-@a-invexity [S.K. Mishra, M.A. Noor, On vector variational-like inequality problems, J. Math. Anal. Appl. 311 (2005) 69-75]. We also introduce the concept of strict pseudo-@a-invex and quasi-@a-invex functions. We derive Karush-Kuhn-Tucker-type sufficient optimality conditions and establish weak, strong and converse duality theorems for the problem and its three different dual problems. The results in this paper extend several known results in the literature.

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