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In this paper, we study a nondifferentiable constrained vector optimization problem where the partial order in the image space is induced by a closed, convex and pointed cone with nonempty… Click to show full abstract
In this paper, we study a nondifferentiable constrained vector optimization problem where the partial order in the image space is induced by a closed, convex and pointed cone with nonempty interior. Under the C-convexity assumption, we present necessary and sufficient KKT optimality conditions for weakly C-$$\epsilon $$ϵ-efficient solutions. In addition, we formulate a Wolfe-type dual problem, and then weak and strong duality theorems are presented.
Keywords:
optimization;
approximate solutions;
nondifferentiable vector;
solutions nondifferentiable;
vector optimization
Journal Title: Optimization Letters
Year Published: 2019
Link to full text (if available)
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Journal Title: Optimization Letters
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!