Optimality conditions for maximizations of set-valued functions
Journal of Optimization Theory and Applications
Contingent derivatives of set-valued maps and applications to vector optimization
Mathematical Programming: Series A and B
Second-Order Conditions for Optimization Problems with Constraints
SIAM Journal on Control and Optimization
The Lagrange Multiplier Rule in Set-Valued Optimization
SIAM Journal on Optimization
Higher order weak epiderivatives and applications to duality and optimality conditions
Computers & Mathematics with Applications
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In this paper, we propose the concept of a second-order composed contingent derivative for set-valued maps, discuss its relationship to the second-order contingent derivative and investigate some of its special properties. By virtue of the second-order composed contingent derivative, we extend the well-known Lagrange multiplier rule and the Kurcyusz---Robinson---Zowe regularity assumption to a constrained set-valued optimization problem in the second-order case. Simultaneously, we also establish some second-order Karush---Kuhn---Tucker necessary and sufficient optimality conditions for a set-valued optimization problem, whose feasible set is determined by a set-valued map, under a generalized second-order Kurcyusz---Robinson---Zowe regularity assumption.