
This paper deals with vector optimization problems with objectives being closed multifunctions on Banach or in Asplund spaces. In particular, a Fermat rule in terms of coderivatives as necessary conditions for an optimal solution is presented. When the setting lies on Asplund spaces the results are strengthened by using the Mordukhovich coderivatives defined by limiting Fréchet normal cones.
coderivative, Pareto efficient point, multifunction, normal cone, Nonsmooth analysis, Multi-objective and goal programming, Set-valued and variational analysis, Pareto solution
coderivative, Pareto efficient point, multifunction, normal cone, Nonsmooth analysis, Multi-objective and goal programming, Set-valued and variational analysis, Pareto solution
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