
doi: 10.1137/0323041
The notion of properly minimal elements plays an important role in vector optimization. This paper characterizes the properly minimal elements of an arbitrary set in a real normal space with a partial ordering (induced by a convex cone) by the minimal solution of an appropriate approximation problem without any convexity assumption. The necessary and sufficient conditions for properly minimal elements are presented. The importance of approximation theory in vector optimization is formulated.
scalarization, vector optimization, real normal space, Sensitivity, stability, parametric optimization, properly minimal elements, approximation
scalarization, vector optimization, real normal space, Sensitivity, stability, parametric optimization, properly minimal elements, approximation
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