Optimality conditions for maximizations of set-valued functions
Journal of Optimization Theory and Applications
A Multiplier Rule for Multiobjective Programming Problems with Continuous Data
SIAM Journal on Optimization
The Lagrange Multiplier Rule in Set-Valued Optimization
SIAM Journal on Optimization
Multicriteria Optimization
The Lagrange Multiplier Rule for Multifunctions in Banach Spaces
SIAM Journal on Optimization
Dubovitskii-Milyutin Approach in Set-Valued Optimization
SIAM Journal on Control and Optimization
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In this work we establish necessary and sufficient conditions for weak minimizers of a constrained set-valued optimization problem. These conditions are given by means of multiplier rules formulated in terms of contingent epiderivatives of scalar set-valued maps. We consider that the image spaces are finite dimensional and the set-valued maps are convex and stable. For these conditions, our results provide a scalar version of analogous existing results in the literature under weaker existence conditions. Moreover we prove that the multiplier rules can be computed in terms of the directional derivative of associated maps of infima.