Duality for Fractional Minimax Programming∗∗The research is partly supported by NSC, Taiwan.$ef:
Jen-Chwan Liu, Chenxuan Wu, Ruey-Lin Sheu · Optimization · 1997
We establish the Kuhn-Tucker sufficient optimality conditions for a class of generalized minimax fractional programming involving pseudoconvex and quasiconvex functions. Subsequently, these optimality criteria are utilized as a basis for constructing three dual models and certain duality results have been derived in the framework of generalized convex functions