Optimality conditions via norm scalarization in vector optimization
SIAM Journal on Control and Optimization
Approximations and metric regularity in mathematical programming in Banach space
Mathematics of Operations Research
On the notion of proper efficiency in vector optimization
Journal of Optimization Theory and Applications
Second-Order Conditions for Optimization Problems with Constraints
SIAM Journal on Control and Optimization
Unified representation of proper efficiency by means of dilating cones
Journal of Optimization Theory and Applications
Approximate solutions and optimality conditions of vector variational inequalities in Banach spaces
Journal of Global Optimization
Hölder metric regularity of set-valued maps
Mathematical Programming: Series A and B
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We consider various kinds of solutions to nonsmooth vector equilibrium problems with functional constraints. By using first and second-order approximations as generalized derivatives, we establish both necessary and sufficient optimality conditions. Our first-order conditions are shown to be applicable in many cases, where existing ones cannot be used. The second-order conditions are new.