Optimality and Unified Duality for E-differentiable Vector Optimization Problems over Cones involving Generalized E-convexity
Malti Kapoor · Statistics Optimization & Information Computing · 2024
This paper explores a new approach to solve a nondifferentiable vector optimization problem over cones by means of an operator E : Rn → Rn which renders differentiability to the considered problem. Some new generalized convexity notions are introduced and employed to obtain necessary and sufficient KKT-type optimality conditions. Further, a unified dual is associated with the considered problem encapsulating both Mond-Weir and Wolfe type duals in the same apparatus and duality results are proved.